Providers
Compare models across different providers, sorted by Cost Index for a clear view of their relative cost. The index is calculated using the formula below.
- 23 providers
- 1024 models
- 12models added this week
- 147Arena-ranked
Visibility filters: deprecated and retired included; snapshots hidden; runnable locally hidden; specialized models hidden; models without Cost Index hidden. Provider type: all. Price limit: all. Arena filter: all. Developers: all. Context: all; maximum output: all; image input: all; reasoning: all; tools: all. The reading and print tables include every model matching these filters, including rows behind “Show more” in the compact catalog.
Cost Index
Reference input price: $0.05; output price: $0.4 per 1M tokens. Selected workload: 2 input : 1 output. Cost Index = (model input price × 2 + model output price) / (reference input price × 2 + reference output price). Index ×1 corresponds to a weighted reference total of $0.5.
How do you use AI?
Anthropic AI Developer
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| claude-haiku-5-5 | ×1.4 | $0.1 / $0.5Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,000,000 | ×2.0 / ×1.3 |
| claude-haiku-3-5 Retired Feb 19, 2026 | ×11 | $0.8 / $4 | ×16 / ×10 |
| claude-haiku-4-5 | ×14 | $1 / $5 · Context 200,000 | ×20 / ×13 |
| claude-sonnet-5 | ×28 | $2 / $10 · Arena rank #58Arena evaluated claude-sonnet-5-high (High), not the base model.This reviewed representative evaluation is used for Anthropic: Claude Sonnet 5's rank, filters and quality comparisons. · Context 1,000,000 | ×40 / ×25 |
| claude-sonnet-5-5 | ×28 | $2 / $10 · Context 1,000,000 | ×40 / ×25 |
| claude-sonnet-4 | ×42 | $3 / $15 · Context 200,000 | ×60 / ×38 |
| claude-sonnet-4-5 Deprecated · retires Nov 30, 2026 | ×42 | $3 / $15 · Context 200,000 | ×60 / ×38 |
| claude-sonnet-4-6 | ×42 | $3 / $15 · Arena rank #45 · Context 1,000,000 | ×60 / ×38 |
| claude-opus-5-5 | ×56 | $4 / $20 · Context 1,000,000 | ×80 / ×50 |
| claude-opus-4-5 | ×70 | $5 / $25 · Context 200,000 | ×100 / ×63 |
| claude-opus-4-6 | ×70 | $5 / $25 · Arena rank #8 · Context 1,000,000 | ×100 / ×63 |
| claude-opus-4-7 | ×70 | $5 / $25 · Arena rank #11 · Context 1,000,000 | ×100 / ×63 |
| claude-opus-4-8 | ×70 | $5 / $25 · Arena rank #40 · Context 1,000,000 | ×100 / ×63 |
| claude-opus-5 | ×70 | $5 / $25 · Context 1,000,000 | ×100 / ×63 |
| claude-fable-5 | ×140 | $10 / $50 · Context 1,000,000 | ×200 / ×125 |
| claude-fable-5-1 | ×140 | $10 / $50 · Context 1,000,000 | ×200 / ×125 |
| claude-mythos-5 | ×140 | $10 / $50 | ×200 / ×125 |
| claude-mythos-5-1 | ×140 | $10 / $50 | ×200 / ×125 |
| claude-opus-4 | ×210 | $15 / $75 · Context 200,000 | ×300 / ×188 |
| claude-opus-4-1 Retired Aug 5, 2026 | ×210 | $15 / $75 · Context 200,000 | ×300 / ×188 |
OpenAI AI Developer
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| gpt-5-nano Deprecated · retires Dec 11, 2026 | ×1.0 | $0.05 / $0.4 · Arena rank #236Arena evaluated gpt-5-nano-high (High), not the base model.This reviewed representative evaluation is used for OpenAI: GPT-5 Nano's rank, filters and quality comparisons. · Context 400,000 | ×1.0 / ×1.0 |
| gpt-4.1-nano Deprecated · retires Oct 23, 2026 | ×1.2 | $0.1 / $0.4 · Context 1,047,576 | ×2.0 / ×1.0 |
| gpt-6-luna | ×1.4 | $0.1 / $0.5Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,050,000 | ×2.0 / ×1.3 |
| gpt-4o-mini-search-preview Retired Jul 23, 2026 | ×1.8 | $0.15 / $0.6 · Context 128,000 | ×3.0 / ×1.5 |
| gpt-4o-mini Deprecated · retires Jan 14, 2027 | ×1.8 | $0.15 / $0.6 · Context 128,000 | ×3.0 / ×1.5 |
| babbage-002 Retired Sep 28, 2026 | ×2.4 | $0.4 / $0.4 | ×8.0 / ×1.0 |
| gpt-5.6-luna | ×3.2 | $0.2 / $1.2Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #75Arena evaluated gpt-5.6-luna-xhigh (xHigh), not the base model.This reviewed representative evaluation is used for gpt-5.6-luna's rank, filters and quality comparisons. · Context 1,050,000 | ×4.0 / ×3.0 |
| gpt-5.4-nano Deprecated · retires Apr 1, 2027 | ×3.3 | $0.2 / $1.25 · Arena rank #161Arena evaluated gpt-5.4-nano-high (High), not the base model.This reviewed representative evaluation is used for OpenAI: GPT-5.4 Nano's rank, filters and quality comparisons. · Context 400,000 | ×4.0 / ×3.1 |
| gpt-4.1-mini Deprecated · retires Jan 14, 2027 | ×4.8 | $0.4 / $1.6 · Context 1,047,576 | ×8.0 / ×4.0 |
| gpt-3.5-turbo Deprecated · retires Oct 23, 2026 | ×5.0 | $0.5 / $1.5 · Context 16,385 | ×10 / ×3.8 |
| gpt-3.5-turbo-0125 Deprecated · retires Oct 23, 2026 | ×5.0 | $0.5 / $1.5 · Arena rank #335 · Context 16,385 | ×10 / ×3.8 |
| gpt-5-mini Deprecated · retires Dec 11, 2026 | ×5.0 | $0.25 / $2 · Arena rank #177Arena evaluated gpt-5-mini-high (High), not the base model.This reviewed representative evaluation is used for OpenAI: GPT-5 Mini's rank, filters and quality comparisons. · Context 400,000 | ×5.0 / ×5.0 |
| gpt-5.1-codex-mini Retired Jul 23, 2026 | ×5.0 | $0.25 / $2 · Context 400,000 | ×5.0 / ×5.0 |
| gpt-3.5-turbo-1106 Retired Sep 28, 2026 | ×8.0 | $1 / $2 · Arena rank #345 · Context 16,385 | ×20 / ×5.0 |
| gpt-3.5-turbo-instruct Retired Sep 28, 2026 | ×10 | $1.5 / $2 · Context 16,385 | ×30 / ×5.0 |
| davinci-002 Retired Sep 28, 2026 | ×12 | $2 / $2 | ×40 / ×5.0 |
| gpt-5.4-mini | ×12 | $0.75 / $4.5 · Arena rank #85Arena evaluated gpt-5.4-mini-high (High), not the base model.This reviewed representative evaluation is used for OpenAI: GPT-5.4 Mini's rank, filters and quality comparisons. · Context 400,000 | ×15 / ×11 |
| o1-mini Retired Oct 27, 2025 | ×13 | $1.1 / $4.4 · Arena rank #237 · Context 128,000 | ×22 / ×11 |
| o3-mini Deprecated · retires Oct 23, 2026 | ×13 | $1.1 / $4.4 · Arena rank #220 · Context 200,000 | ×22 / ×11 |
| o4-mini Deprecated · retires Oct 23, 2026 | ×13 | $1.1 / $4.4 · Context 200,000 | ×22 / ×11 |
| codex-mini-latest Retired Feb 12, 2026 | ×18 | $1.5 / $6 · Context 200,000 | ×30 / ×15 |
| gpt-4.1 Deprecated · retires Jan 14, 2027 | ×24 | $2 / $8 · Context 1,047,576 | ×40 / ×20 |
| o3 Deprecated · retires Dec 11, 2026 | ×24 | $2 / $8 · Context 200,000 | ×40 / ×20 |
| o4-mini-deep-research Retired Jul 23, 2026 | ×24 | $2 / $8 · Context 200,000 | ×40 / ×20 |
| gpt-5-codex Retired Jul 23, 2026 | ×25 | $1.25 / $10 · Context 400,000 | ×25 / ×25 |
| gpt-5-search-api | ×25 | $1.25 / $10 | ×25 / ×25 |
| gpt-5.1-chat-latest Retired Jul 23, 2026 | ×25 | $1.25 / $10 · Context 128,000 | ×25 / ×25 |
| gpt-5-chat-latest Retired Jul 23, 2026 | ×25 | $1.25 / $10 · Context 128,000 | ×25 / ×25 |
| gpt-5 Deprecated · retires Dec 11, 2026 | ×25 | $1.25 / $10 · Arena rank #106Arena evaluated gpt-5-high (High), not the base model.This reviewed representative evaluation is used for OpenAI: GPT-5's rank, filters and quality comparisons. · Context 400,000 | ×25 / ×25 |
| gpt-5.1 Deprecated · retires Apr 1, 2027 | ×25 | $1.25 / $10 · Arena rank #99 · Context 400,000 | ×25 / ×25 |
| gpt-5.1-codex Retired Jul 23, 2026 | ×25 | $1.25 / $10 · Context 400,000 | ×25 / ×25 |
| gpt-5.1-codex-max Retired Jul 23, 2026 | ×25 | $1.25 / $10 · Context 400,000 | ×25 / ×25 |
| gpt-6.1-sol | ×28 | $2 / $10Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,050,000 | ×40 / ×25 |
| gpt-6-sol | ×28 | $2 / $10Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,050,000 | ×40 / ×25 |
| gpt-4o Deprecated · retires Jan 14, 2027 | ×30 | $2.5 / $10 · Context 128,000 | ×50 / ×25 |
| gpt-4o-search-preview Retired Jul 23, 2026 | ×30 | $2.5 / $10 · Context 128,000 | ×50 / ×25 |
| gpt-5.6-terra | ×32 | $2 / $12Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #51Arena evaluated gpt-5.6-terra-xhigh (xHigh), not the base model.This reviewed representative evaluation is used for gpt-5.6-terra's rank, filters and quality comparisons. · Context 1,050,000 | ×40 / ×30 |
| gpt-5.2 | ×35 | $1.75 / $14 · Arena rank #105 · Context 400,000 | ×35 / ×35 |
| gpt-5.2-chat-latest Retired Aug 10, 2026 | ×35 | $1.75 / $14 · Context 128,000 | ×35 / ×35 |
| gpt-5.2-codex Retired Jul 23, 2026 | ×35 | $1.75 / $14 · Context 400,000 | ×35 / ×35 |
| gpt-5.3-chat-latest Retired Aug 10, 2026 | ×35 | $1.75 / $14 · Arena rank #78 · Context 128,000 | ×35 / ×35 |
| gpt-5.3-codex Deprecated · retires Apr 1, 2027 | ×35 | $1.75 / $14 · Context 400,000 | ×35 / ×35 |
| computer-use-preview Retired Jul 23, 2026 | ×36 | $3 / $12 · Context 8,192 | ×60 / ×30 |
| gpt-5.4 | ×40 | $2.5 / $15Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #55 · Context 1,050,000 | ×50 / ×38 |
| chatgpt-4o-latest Retired Feb 17, 2026 | ×50 | $5 / $15 · Context 128,000 | ×100 / ×38 |
| gpt-5.6-sol | ×56 | $4 / $20Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #21Arena evaluated gpt-5.6-sol-xhigh (xHigh), not the base model.This reviewed representative evaluation is used for gpt-5.6-sol's rank, filters and quality comparisons. · Context 1,050,000 | ×80 / ×50 |
| chat-latest | ×80 | $5 / $30 · Context 400,000 | ×100 / ×75 |
| gpt-5.5 | ×80 | $5 / $30Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #31 · Context 1,050,000 | ×100 / ×75 |
| gpt-4-turbo Deprecated · retires Oct 23, 2026 | ×100 | $10 / $30 · Context 128,000 | ×200 / ×75 |
| gpt-4-turbo-preview Retired Mar 26, 2026 | ×100 | $10 / $30 · Context 128,000 | ×200 / ×75 |
| o3-deep-research Retired Jul 23, 2026 | ×120 | $10 / $40 · Context 200,000 | ×200 / ×100 |
| gpt-6-astra | ×140 | $10 / $50Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,050,000 | ×200 / ×125 |
| o1 Deprecated · retires Oct 23, 2026 | ×180 | $15 / $60 · Context 200,000 | ×300 / ×150 |
| o1-preview Retired Jul 28, 2025 | ×180 | $15 / $60 · Arena rank #178 · Context 128,000 | ×300 / ×150 |
| gpt-4 Deprecated · retires Oct 23, 2026 | ×240 | $30 / $60 · Context 8,192 | ×600 / ×150 |
| gpt-4-0613 Deprecated · retires Oct 23, 2026 | ×240 | $30 / $60 · Arena rank #307 · Context 8,192 | ×600 / ×150 |
| o3-pro Deprecated · retires Dec 11, 2026 | ×240 | $20 / $80 · Context 200,000 | ×400 / ×200 |
| gpt-5-pro Deprecated · retires Dec 11, 2026 | ×300 | $15 / $120 · Context 400,000 | ×300 / ×300 |
| gpt-5.2-pro | ×420 | $21 / $168 · Context 400,000 | ×420 / ×420 |
| gpt-5.4-pro | ×480 | $30 / $180Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,050,000 | ×600 / ×450 |
| gpt-5.5-pro | ×480 | $30 / $180Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,050,000 | ×600 / ×450 |
| gpt-4.5-preview Retired Jul 14, 2025 | ×600 | $75 / $150 · Context 128,000 | ×1500 / ×375 |
| o1-pro Deprecated · retires Oct 23, 2026 | ×1800 | $150 / $600 · Context 200,000 | ×3000 / ×1500 |
Google AI Developer
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| gemini-2.5-flash-lite | ×1.2 | $0.1 / $0.4 · Context 1,048,576 | ×2.0 / ×1.0 |
| gemini-3.1-flash-lite | ×4.0 | $0.25 / $1.5 · Context 1,048,576 | ×5.0 / ×3.8 |
| gemini-2.5-flash | ×6.2 | $0.3 / $2.5 · Arena rank #151 · Context 1,048,576 | ×6.0 / ×6.3 |
| gemini-3.5-flash-lite | ×6.2 | $0.3 / $2.5 · Arena rank #72 · Context 1,048,576 | ×6.0 / ×6.3 |
| gemini-3-flash-preview | ×8.0 | $0.5 / $3 · Context 1,048,576 | ×10 / ×7.5 |
| gemini-3.6-flash | ×11 | $0.75 / $3.75 · Arena rank #23Arena evaluated gemini-3.6-flash-high (High), not the base model.This reviewed representative evaluation is used for Gemini 3.6 Flash's rank, filters and quality comparisons. · Context 1,048,576 | ×15 / ×9.4 |
| gemini-3.7-flash | ×11 | $0.75 / $3.75 · Context 1,048,576 | ×15 / ×9.4 |
| gemini-3.8-flash | ×11 | $0.75 / $3.75 · Context 1,048,576 | ×15 / ×9.4 |
| gemini-robotics-er-2-preview | ×14 | $1 / $5 · Context 131,072 | ×20 / ×13 |
| gemini-3.5-flash | ×24 | $1.5 / $9 · Arena rank #33Arena has 2 reviewed evaluations for Gemini 3.5 Flash.AI for Less conservatively uses the lowest-performing result: gemini-3.5-flash-medium (Medium).gemini-3.5-flash-high (High): Arena #29, rating 1477.gemini-3.5-flash-medium (Medium): Arena #33, rating 1476 — used. · Context 1,048,576 | ×30 / ×23 |
| gemini-2.5-pro | ×25 | $1.25 / $10 · Arena rank #87 · Context 1,048,576 | ×25 / ×25 |
| gemini-4-argon | ×28 | $2 / $10 · Context 1,048,576 | ×40 / ×25 |
| gemini-3.1-pro-preview | ×32 | $2 / $12 · Arena rank #19 · Context 1,048,576 | ×40 / ×30 |
| gemini-3.1-pro-preview-customtools | ×32 | $2 / $12 · Context 1,048,576 | ×40 / ×30 |
Z.AI AI Developer
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| glm-5.3-flashx | ×4.0 | $0.37 / $1.25 · Context 1,048,576 | ×7.4 / ×3.1 |
Alibaba / Qwen AI Developer
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| qwen3.7-flash | ×0.4 | $0.03 / $0.13Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,000,000 | ×0.6 / ×0.3 |
| qwen-turbo | ×0.6 | $0.05 / $0.2 | ×1.0 / ×0.5 |
| qwen-flash | ×1.0 | $0.05 / $0.4Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,000,000 | ×1.0 / ×1.0 |
| qwen3.5-flash | ×1.2 | $0.1 / $0.4Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #166 · Context 1,000,000 | ×2.0 / ×1.0 |
| qwen3.8-flash | ×1.5 | $0.15 / $0.47Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,000,000 | ×3.0 / ×1.2 |
| qwen-plus-latest | ×4.0 | $0.4 / $1.2Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,000,000 | ×8.0 / ×3.0 |
| qwen-plus | ×4.0 | $0.4 / $1.2Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,000,000 | ×8.0 / ×3.0 |
| qwen3.6-flash | ×4.0 | $0.25 / $1.5Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,000,000 | ×5.0 / ×3.8 |
| qwen3-coder-flash | ×4.2 | $0.3 / $1.5Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,000,000 | ×6.0 / ×3.8 |
| qwen3.7-plus | ×4.8 | $0.4 / $1.6Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #69 · Context 1,000,000 | ×8.0 / ×4.0 |
| qwen3.5-plus | ×6.4 | $0.4 / $2.4Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,000,000 | ×8.0 / ×6.0 |
| qwen3.6-plus | ×8.0 | $0.5 / $3Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #90 · Context 1,000,000 | ×10 / ×7.5 |
| qwq-plus | ×8.0 | $0.8 / $2.4 | ×16 / ×6.0 |
| qwen3-coder-plus | ×14 | $1 / $5Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,000,000 | ×20 / ×13 |
| qwen3-max | ×17 | $1.2 / $6Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 262,144 | ×24 / ×15 |
| qwen3-max-preview | ×17 | $1.2 / $6Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #107 | ×24 / ×15 |
| qwen3.8-max | ×20 | $2 / $6Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #24 · Context 1,000,000 | ×40 / ×15 |
| qwen3.8-max-0902 | ×20 | $2 / $6Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,000,000 | ×40 / ×15 |
| qwen3.6-max-preview | ×21 | $1.3 / $7.8Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #60 · Context 262,144 | ×26 / ×20 |
| qwen3.7-max | ×25 | $2.5 / $7.5Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,000,000 | ×50 / ×19 |
| qwen3.7-max-preview | ×25 | $2.5 / $7.5Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #39 · Context 1,000,000 | ×50 / ×19 |
Xiaomi MiMo AI Developer
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| mimo-v2.6-pro-ultraspeed | ×35 | $4.35 / $8.7 · Context 1,000,000 | ×87 / ×22 |
Mistral AI AI Developer
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| voxtral-small-2507 | ×1.2 | $0.1 / $0.4 · Context 32,768 | ×2.0 / ×1.0 |
| magistral-small-latest | ×1.8 | $0.15 / $0.6 · Context 262,144 | ×3.0 / ×1.5 |
| codestral-2508 | ×3.0 | $0.3 / $0.9 · Context 256,000 | ×6.0 / ×2.3 |
| mistral-large-2512 | ×5.0 | $0.5 / $1.5 · Context 262,144 | ×10 / ×3.8 |
| mistral-large-4 | ×6.9 | $0.68 / $2.09 · Arena rank #111 · Context 1,048,576 | ×14 / ×5.2 |
| magistral-medium-latest | ×21 | $1.5 / $7.5 · Arena rank #117 · Context 262,144 | ×30 / ×19 |
xAI AI Developer
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| grok-build-0.1 | ×8.0 | $1 / $2 · Context 256,000 | ×20 / ×5.0 |
| grok-4.20-0309-non-reasoning | ×10 | $1.25 / $2.5 · Context 1,000,000 | ×25 / ×6.3 |
| grok-4.20-0309-reasoning | ×10 | $1.25 / $2.5 · Context 1,000,000 | ×25 / ×6.3 |
| grok-4.20-multi-agent-0309 | ×10 | $1.25 / $2.5 · Context 1,000,000 | ×25 / ×6.3 |
| grok-4.3 | ×10 | $1.25 / $2.5 · Arena rank #93 · Context 1,000,000 | ×25 / ×6.3 |
| grok-4.5 | ×20 | $2 / $6 · Arena rank #52 · Context 500,000 | ×40 / ×15 |
| grok-4.6 | ×20 | $2 / $6 · Arena rank #73Arena evaluated grok-4.6-high (High), not the base model.This reviewed representative evaluation is used for Grok 4.6's rank, filters and quality comparisons. · Context 500,000 | ×40 / ×15 |
| grok-4.7 | ×20 | $2 / $6 · Context 500,000 | ×40 / ×15 |
DeepSeek AI Developer
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| deepseek-flash | ≈×3.6 | Off-peak Input 0.15 · Output 0.6 / 1M tokensPeak Input 0.3 · Output 1.2 / 1M tokensApprox. current: Peak · Chinese public holidays ignored. · Context 1,048,576 | Approx. Peak · ×6.0 / ×3.0 |
Cohere AI Developer
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| command-r7b-12-2024 | ×0.5 | $0.0375 / $0.15 · Context 128,000 | ×0.8 / ×0.4 |
| command-r-08-2024 | ×1.8 | $0.15 / $0.6 · Arena rank #322 · Context 128,000 | ×3.0 / ×1.5 |
| c4ai-aya-expanse-32b | ×5.0 | $0.5 / $1.5 · Arena rank #312 · Context 128,000 | ×10 / ×3.8 |
| command-r-plus-08-2024 | ×30 | $2.5 / $10 · Arena rank #306 · Context 128,000 | ×50 / ×25 |
| command-a-03-2025 | ×30 | $2.5 / $10 · Arena rank #212 · Context 256,000 | ×50 / ×25 |
Meta AI Developer
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| muse-spark-1.2 | ×14 | $1.25 / $4.25 · Context 1,048,576 | ×25 / ×11 |
OpenRouter Aggregator
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| cohere/north-mini-code:free | ×0.0 | Free · Context 256,000 | ×0.0 / ×0.0 |
| stealth/space-bunny-alpha | ×0.0 | Free · Context 1,000,000 | ×0.0 / ×0.0 |
| inclusionai/ling-3.0-flash | ×0.2 | $0.021 / $0.063 · Context 262,144 | ×0.4 / ×0.2 |
| qwen/qwen3.7-flash | ×0.4 | $0.03 / $0.13 · Context 1,000,000 | ×0.6 / ×0.3 |
| inclusionai/ling-3.0-flash-fin | ×0.4 | $0.042 / $0.1232 · Context 262,144 | ×0.8 / ×0.3 |
| amazon/nova-micro-v1 | ×0.4 | $0.035 / $0.14 · Context 128,000 | ×0.7 / ×0.4 |
| cohere/command-r7b-12-2024 | ×0.5 | $0.0375 / $0.15 · Context 128,000 | ×0.8 / ×0.4 |
| amazon/nova-lite-v1 | ×0.7 | $0.06 / $0.24 · Context 300,000 | ×1.2 / ×0.6 |
| qwen/qwen3.5-flash-02-23 | ×0.8 | $0.065 / $0.26 · Context 1,000,000 | ×1.3 / ×0.7 |
| bytedance/ui-tars-1.5-7b | ×0.8 | $0.1 / $0.2 · Context 128,000 | ×2.0 / ×0.5 |
| meta/muse-spark-1.2-contributor | ×0.8 | $0.1 / $0.2 · Context 1,048,576 | ×2.0 / ×0.5 |
| meta/muse-spark-1.3-contributor | ×0.8 | $0.1 / $0.2 · Context 1,048,576 | ×2.0 / ×0.5 |
| openai/gpt-5-nano Deprecated · retires Dec 11, 2026 · at developer | ×1.0 | $0.05 / $0.4 · Arena rank #236Arena evaluated gpt-5-nano-high (High), not the base model.This reviewed representative evaluation is used for OpenAI: GPT-5 Nano's rank, filters and quality comparisons. · Context 400,000 | ×1.0 / ×1.0 |
| google/gemini-2.5-flash-lite | ×1.2 | $0.1 / $0.4 · Context 1,048,576 | ×2.0 / ×1.0 |
| openai/gpt-4.1-nano Deprecated · retires Oct 23, 2026 · at developer | ×1.2 | $0.1 / $0.4 · Context 1,047,576 | ×2.0 / ×1.0 |
| nvidia/nemotron-3.5-content-safety | ×1.2 | $0.2 / $0.2 · Context 131,072 | ×4.0 / ×0.5 |
| anthropic/claude-haiku-5.5 | ×1.4 | $0.1 / $0.5Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,000,000 | ×2.0 / ×1.3 |
| openai/gpt-6-luna | ×1.4 | $0.1 / $0.5Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,050,000 | ×2.0 / ×1.3 |
| qwen/qwen3.8-flash | ×1.5 | $0.15 / $0.47 · Context 1,000,000 | ×3.0 / ×1.2 |
| qwen/qwen3.8-omni-flash | ×1.5 | $0.15 / $0.47 · Context 1,000,000 | ×3.0 / ×1.2 |
| openai/gpt-5.6-luna-pro:batch | ×1.6 | $0.1 / $0.6Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #75Arena evaluated gpt-5.6-luna-xhigh (xHigh), not the base model.This reviewed representative evaluation is used for gpt-5.6-luna's rank, filters and quality comparisons. · Context 1,050,000 | ×2.0 / ×1.5 |
| cohere/command-r-08-2024 | ×1.8 | $0.15 / $0.6 · Arena rank #322 · Context 128,000 | ×3.0 / ×1.5 |
| openai/gpt-4o-mini Deprecated · retires Jan 14, 2027 · at developer | ×1.8 | $0.15 / $0.6 · Context 128,000 | ×3.0 / ×1.5 |
| mistralai/mistral-small-2603 | ×1.8 | $0.15 / $0.6 · Context 262,144 | ×3.0 / ×1.5 |
| mistralai/mistral-saba | ×2.0 | $0.2 / $0.6 · Context 32,768 | ×4.0 / ×1.5 |
| qwen/qwen-plus | ×2.6 | $0.26 / $0.78 · Context 1,000,000 | ×5.2 / ×2.0 |
| qwen/qwen3-coder-flash | ×2.7 | $0.195 / $0.975 · Context 1,000,000 | ×3.9 / ×2.4 |
| mistralai/codestral-2508 | ×3.0 | $0.3 / $0.9 · Context 256,000 | ×6.0 / ×2.3 |
| minimax/minimax-01 | ×3.0 | $0.2 / $1.1 · Context 1,000,192 | ×4.0 / ×2.8 |
| qwen/qwen3.6-flash | ×3.0 | $0.1875 / $1.125 · Context 1,000,000 | ×3.8 / ×2.8 |
| deepseek/deepseek-chat | ×3.1 | $0.32 / $0.89 · Context 163,840 | ×6.4 / ×2.2 |
| openai/gpt-5.4-nano Deprecated · retires Apr 1, 2027 · at developer | ×3.3 | $0.2 / $1.25 · Arena rank #161Arena evaluated gpt-5.4-nano-high (High), not the base model.This reviewed representative evaluation is used for OpenAI: GPT-5.4 Nano's rank, filters and quality comparisons. · Context 400,000 | ×4.0 / ×3.1 |
| deepseek/deepseek-v4.1-flash-1017 | ×3.6 | $0.3 / $1.2 · Context 1,048,576 | ×6.0 / ×3.0 |
| minimax/minimax-m2-her | ×3.6 | $0.3 / $1.2 · Context 65,536 | ×6.0 / ×3.0 |
| microsoft/wizardlm-2-8x22b | ×3.7 | $0.62 / $0.62 · Context 65,535 | ×12 / ×1.6 |
| qwen/qwen3.7-plus | ×3.8 | $0.32 / $1.28 · Arena rank #69 · Context 1,000,000 | ×6.4 / ×3.2 |
| z-ai/glm-5.3-flashx | ×4.0 | $0.37 / $1.25 · Context 1,048,576 | ×7.4 / ×3.1 |
| google/gemini-3.1-flash-lite | ×4.0 | $0.25 / $1.5 · Context 1,048,576 | ×5.0 / ×3.8 |
| google/gemini-3.1-flash-lite-preview | ×4.0 | $0.25 / $1.5 · Arena rank #110 · Context 1,048,576 | ×5.0 / ×3.8 |
| qwen/qwen3.5-plus-02-15 | ×4.2 | $0.26 / $1.56 · Context 1,000,000 | ×5.2 / ×3.9 |
| cohere/command-a-plus | ×4.2 | $0.3 / $1.5 · Context 192,000 | ×6.0 / ×3.8 |
| openai/gpt-4.1-mini Deprecated · retires Jan 14, 2027 · at developer | ×4.8 | $0.4 / $1.6 · Context 1,047,576 | ×8.0 / ×4.0 |
| openai/gpt-3.5-turbo Deprecated · retires Oct 23, 2026 · at developer | ×5.0 | $0.5 / $1.5 · Context 16,385 | ×10 / ×3.8 |
| mistralai/mistral-large-2512 | ×5.0 | $0.5 / $1.5 · Context 262,144 | ×10 / ×3.8 |
| openai/gpt-5-mini Deprecated · retires Dec 11, 2026 · at developer | ×5.0 | $0.25 / $2 · Arena rank #177Arena evaluated gpt-5-mini-high (High), not the base model.This reviewed representative evaluation is used for OpenAI: GPT-5 Mini's rank, filters and quality comparisons. · Context 400,000 | ×5.0 / ×5.0 |
| openai/gpt-5.1-codex-mini Retired Jul 23, 2026 · at developer | ×5.0 | $0.25 / $2 · Context 400,000 | ×5.0 / ×5.0 |
| sao10k/l3.1-euryale-70b | ×5.1 | $0.85 / $0.85 · Context 131,072 | ×17 / ×2.1 |
| qwen/qwen3.6-plus | ×5.2 | $0.325 / $1.95 · Arena rank #90 · Context 1,000,000 | ×6.5 / ×4.9 |
| mistralai/mistral-medium-3 | ×5.6 | $0.4 / $2 · Context 131,072 | ×8.0 / ×5.0 |
| mistralai/mistral-medium-3.1 | ×5.6 | $0.4 / $2 · Context 131,072 | ×8.0 / ×5.0 |
| amazon/nova-2-lite-v1 | ×6.2 | $0.3 / $2.5 · Arena rank #243 · Context 1,000,000 | ×6.0 / ×6.3 |
| google/gemini-2.5-flash | ×6.2 | $0.3 / $2.5 · Arena rank #151 · Context 1,048,576 | ×6.0 / ×6.3 |
| google/gemini-3.5-flash-lite | ×6.2 | $0.3 / $2.5 · Arena rank #72 · Context 1,048,576 | ×6.0 / ×6.3 |
| minimax/minimax-m1 | ×6.6 | $0.55 / $2.2 · Arena rank #202 · Context 1,000,000 | ×11 / ×5.5 |
| mistralai/mistral-large-4-0 | ×6.9 | $0.68 / $2.09 · Arena rank #111 · Context 1,048,576 | ×14 / ×5.2 |
| google/gemini-3-flash-preview | ×8.0 | $0.5 / $3 · Context 1,048,576 | ×10 / ×7.5 |
| openai/gpt-3.5-turbo-0613 Retired Sep 13, 2024 · at developer | ×8.0 | $1 / $2 · Context 4,095 | ×20 / ×5.0 |
| x-ai/grok-build-0.1 | ×8.0 | $1 / $2 · Context 256,000 | ×20 / ×5.0 |
| qwen/qwen3-coder-plus | ×9.1 | $0.65 / $3.25 · Context 1,000,000 | ×13 / ×8.1 |
| amazon/nova-pro-v1 | ×9.6 | $0.8 / $3.2 · Context 300,000 | ×16 / ×8.0 |
| x-ai/grok-4.20 | ×10 | $1.25 / $2.5 · Context 1,000,000 | ×25 / ×6.3 |
| x-ai/grok-4.20-multi-agent | ×10 | $1.25 / $2.5 · Context 1,000,000 | ×25 / ×6.3 |
| openai/gpt-3.5-turbo-instruct Retired Sep 28, 2026 · at developer | ×10 | $1.5 / $2 · Context 16,385 | ×30 / ×5.0 |
| x-ai/grok-4.3 | ×10 | $1.25 / $2.5 · Arena rank #93 · Context 1,000,000 | ×25 / ×6.3 |
| google/gemini-3.6-flash | ×11 | $0.75 / $3.75 · Arena rank #23Arena evaluated gemini-3.6-flash-high (High), not the base model.This reviewed representative evaluation is used for Gemini 3.6 Flash's rank, filters and quality comparisons. · Context 1,048,576 | ×15 / ×9.4 |
| google/gemini-3.7-flash | ×11 | $0.75 / $3.75 · Context 1,048,576 | ×15 / ×9.4 |
| qwen/qwen3-max | ×11 | $0.78 / $3.9 · Context 262,144 | ×16 / ×9.8 |
| qwen/qwen3-max-thinking | ×11 | $0.78 / $3.9 · Context 262,144 | ×16 / ×9.8 |
| google/gemini-3.8-flash | ×12 | $0.825 / $4.125 · Context 1,048,576 | ×17 / ×10 |
| openai/gpt-5.4-mini | ×12 | $0.75 / $4.5 · Arena rank #85Arena evaluated gpt-5.4-mini-high (High), not the base model.This reviewed representative evaluation is used for OpenAI: GPT-5.4 Mini's rank, filters and quality comparisons. · Context 400,000 | ×15 / ×11 |
| z-ai/glm-5-turbo | ×13 | $1.2 / $4 · Context 202,752 | ×24 / ×10 |
| z-ai/glm-5v-turbo | ×13 | $1.2 / $4 · Arena rank #109 · Context 202,752 | ×24 / ×10 |
| openai/o3-mini Deprecated · retires Oct 23, 2026 · at developer | ×13 | $1.1 / $4.4 · Arena rank #220 · Context 200,000 | ×22 / ×11 |
| openai/o4-mini Deprecated · retires Oct 23, 2026 · at developer | ×13 | $1.1 / $4.4 · Context 200,000 | ×22 / ×11 |
| meta/muse-spark-1.1 | ×14 | $1.25 / $4.25 · Arena rank #13 · Context 1,048,576 | ×25 / ×11 |
| meta/muse-spark-1.2 | ×14 | $1.25 / $4.25 · Context 1,048,576 | ×25 / ×11 |
| meta/muse-spark-1.3 | ×14 | $1.25 / $4.25 · Context 1,048,576 | ×25 / ×11 |
| meta/muse-spark-open | ×14 | $1.25 / $4.25 · Context 1,048,576 | ×25 / ×11 |
| anthropic/claude-haiku-4.5 | ×14 | $1 / $5 · Context 200,000 | ×20 / ×13 |
| openai/gpt-5.6-sol-pro:batch | ×14 | $1 / $5Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #21Arena evaluated gpt-5.6-sol-xhigh (xHigh), not the base model.This reviewed representative evaluation is used for gpt-5.6-sol's rank, filters and quality comparisons. · Context 1,050,000 | ×20 / ×13 |
| writer/palmyra-x5 | ×14 | $0.6 / $6 · Context 1,040,000 | ×12 / ×15 |
| qwen/qwen3.7-max | ×15 | $1.475 / $4.425 · Context 1,000,000 | ×30 / ×11 |
| openai/gpt-5.6-terra-pro:batch | ×16 | $1 / $6Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #51Arena evaluated gpt-5.6-terra-xhigh (xHigh), not the base model.This reviewed representative evaluation is used for gpt-5.6-terra's rank, filters and quality comparisons. · Context 1,050,000 | ×20 / ×15 |
| qwen/qwen3.6-max-preview | ×16 | $1.027 / $6.162 · Arena rank #60 · Context 262,144 | ×21 / ×15 |
| openai/gpt-3.5-turbo-16k Retired Sep 13, 2024 · at developer | ×20 | $3 / $4 · Context 16,385 | ×60 / ×10 |
| x-ai/grok-4.5 | ×20 | $2 / $6 · Arena rank #52 · Context 500,000 | ×40 / ×15 |
| x-ai/grok-4.6 | ×20 | $2 / $6 · Arena rank #73Arena evaluated grok-4.6-high (High), not the base model.This reviewed representative evaluation is used for Grok 4.6's rank, filters and quality comparisons. · Context 500,000 | ×40 / ×15 |
| x-ai/grok-4.7 | ×20 | $2 / $6 · Context 500,000 | ×40 / ×15 |
| mistralai/mistral-large | ×20 | $2 / $6 · Context 128,000 | ×40 / ×15 |
| mistralai/mistral-large-2407 | ×20 | $2 / $6 · Arena rank #269 · Context 131,072 | ×40 / ×15 |
| qwen/qwen3.8-max-0902 | ×20 | $2 / $6 · Context 1,000,000 | ×40 / ×15 |
| mistralai/mistral-medium-3-5 | ×21 | $1.5 / $7.5 · Arena rank #117 · Context 262,144 | ×30 / ×19 |
| google/gemini-3.5-flash | ×24 | $1.5 / $9 · Arena rank #33Arena has 2 reviewed evaluations for Gemini 3.5 Flash.AI for Less conservatively uses the lowest-performing result: gemini-3.5-flash-medium (Medium).gemini-3.5-flash-high (High): Arena #29, rating 1477.gemini-3.5-flash-medium (Medium): Arena #33, rating 1476 — used. · Context 1,048,576 | ×30 / ×23 |
| openai/gpt-4.1 Deprecated · retires Jan 14, 2027 · at developer | ×24 | $2 / $8 · Context 1,047,576 | ×40 / ×20 |
| openai/o3 Deprecated · retires Dec 11, 2026 · at developer | ×24 | $2 / $8 · Context 200,000 | ×40 / ×20 |
| google/gemini-2.5-pro | ×25 | $1.25 / $10 · Arena rank #87 · Context 1,048,576 | ×25 / ×25 |
| google/gemini-2.5-pro-preview | ×25 | $1.25 / $10 · Context 1,048,576 | ×25 / ×25 |
| openai/gpt-5 Deprecated · retires Dec 11, 2026 · at developer | ×25 | $1.25 / $10 · Arena rank #106Arena evaluated gpt-5-high (High), not the base model.This reviewed representative evaluation is used for OpenAI: GPT-5's rank, filters and quality comparisons. · Context 400,000 | ×25 / ×25 |
| openai/gpt-5.1 Deprecated · retires Apr 1, 2027 · at developer | ×25 | $1.25 / $10 · Arena rank #99 · Context 400,000 | ×25 / ×25 |
| openai/gpt-5.1-codex Retired Jul 23, 2026 · at developer | ×25 | $1.25 / $10 · Context 400,000 | ×25 / ×25 |
| openai/gpt-5.1-codex-max Retired Jul 23, 2026 · at developer | ×25 | $1.25 / $10 · Context 400,000 | ×25 / ×25 |
| anthropic/claude-sonnet-5 | ×28 | $2 / $10 · Arena rank #58Arena evaluated claude-sonnet-5-high (High), not the base model.This reviewed representative evaluation is used for Anthropic: Claude Sonnet 5's rank, filters and quality comparisons. · Context 1,000,000 | ×40 / ×25 |
| anthropic/claude-sonnet-5.5 | ×28 | $2 / $10 · Context 1,000,000 | ×40 / ×25 |
| google/gemini-4-argon | ×28 | $2 / $10 · Context 1,048,576 | ×40 / ×25 |
| openai/gpt-6.1-sol | ×28 | $2 / $10Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,050,000 | ×40 / ×25 |
| openai/gpt-6-sol | ×28 | $2 / $10Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,050,000 | ×40 / ×25 |
| z-ai/glm-5.3-prime | ×29 | $2.8 / $8.8 · Context 1,000,000 | ×56 / ×22 |
| cohere/command-a | ×30 | $2.5 / $10 · Context 256,000 | ×50 / ×25 |
| cohere/command-r-plus-08-2024 | ×30 | $2.5 / $10 · Arena rank #306 · Context 128,000 | ×50 / ×25 |
| openai/gpt-4o Deprecated · retires Jan 14, 2027 · at developer | ×30 | $2.5 / $10 · Context 128,000 | ×50 / ×25 |
| google/gemini-3.1-pro-preview | ×32 | $2 / $12 · Arena rank #19 · Context 1,048,576 | ×40 / ×30 |
| google/gemini-3.1-pro-preview-customtools | ×32 | $2 / $12 · Context 1,048,576 | ×40 / ×30 |
| xiaomi/mimo-v2.6-pro-ultraspeed | ×35 | $4.35 / $8.7 · Context 1,000,000 | ×87 / ×22 |
| amazon/nova-premier-v1 | ×35 | $2.5 / $12.5 · Context 1,000,000 | ×50 / ×31 |
| openai/gpt-5.2 | ×35 | $1.75 / $14 · Arena rank #105 · Context 400,000 | ×35 / ×35 |
| openai/gpt-5.2-codex Retired Jul 23, 2026 · at developer | ×35 | $1.75 / $14 · Context 400,000 | ×35 / ×35 |
| openai/gpt-5.2-chat | ×35 | $1.75 / $14 · Context 128,000 | ×35 / ×35 |
| openai/gpt-5.3-codex Deprecated · retires Apr 1, 2027 · at developer | ×35 | $1.75 / $14 · Context 400,000 | ×35 / ×35 |
| openai/gpt-5.4 | ×40 | $2.5 / $15Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #55 · Context 1,050,000 | ×50 / ×38 |
| qwen/qwen3.8-max-prime | ×40 | $4 / $12 · Context 1,000,000 | ×80 / ×30 |
| anthropic/claude-sonnet-4 | ×42 | $3 / $15Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 200,000 | ×60 / ×38 |
| anthropic/claude-sonnet-4.5 Deprecated · retires Nov 30, 2026 · at developer | ×42 | $3 / $15Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 200,000 | ×60 / ×38 |
| anthropic/claude-sonnet-4.6 | ×42 | $3 / $15 · Arena rank #45 · Context 1,000,000 | ×60 / ×38 |
| anthropic/claude-opus-5.5 | ×56 | $4 / $20 · Context 1,000,000 | ×80 / ×50 |
| meta/muse-wonder | ×56 | $4 / $20 · Context 1,048,576 | ×80 / ×50 |
| anthropic/claude-opus-4.5 | ×70 | $5 / $25 · Context 200,000 | ×100 / ×63 |
| anthropic/claude-opus-4.6 | ×70 | $5 / $25 · Arena rank #8 · Context 1,000,000 | ×100 / ×63 |
| anthropic/claude-opus-4.7 | ×70 | $5 / $25 · Arena rank #11 · Context 1,000,000 | ×100 / ×63 |
| anthropic/claude-opus-4.8 | ×70 | $5 / $25 · Arena rank #40 · Context 1,000,000 | ×100 / ×63 |
| anthropic/claude-opus-5 | ×70 | $5 / $25 · Context 1,000,000 | ×100 / ×63 |
| openai/gpt-chat-latest | ×80 | $5 / $30 · Context 400,000 | ×100 / ×75 |
| openai/gpt-5.5 | ×80 | $5 / $30Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Arena rank #31 · Context 1,050,000 | ×100 / ×75 |
| openai/gpt-4-turbo Deprecated · retires Oct 23, 2026 · at developer | ×100 | $10 / $30 · Context 128,000 | ×200 / ×75 |
| anthropic/claude-fable-5 | ×140 | $10 / $50 · Context 1,000,000 | ×200 / ×125 |
| anthropic/claude-fable-5.1 | ×140 | $10 / $50 · Context 1,000,000 | ×200 / ×125 |
| openai/gpt-6-astra | ×140 | $10 / $50Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,050,000 | ×200 / ×125 |
| openai/o1 Deprecated · retires Oct 23, 2026 · at developer | ×180 | $15 / $60 · Context 200,000 | ×300 / ×150 |
| anthropic/claude-opus-4.1 Retired Aug 5, 2026 · at developer | ×210 | $15 / $75 · Context 200,000 | ×300 / ×188 |
| openai/gpt-4 Deprecated · retires Oct 23, 2026 · at developer | ×240 | $30 / $60 · Context 8,192 | ×600 / ×150 |
| openai/o3-pro Deprecated · retires Dec 11, 2026 · at developer | ×240 | $20 / $80 · Context 200,000 | ×400 / ×200 |
| openai/gpt-5-pro Deprecated · retires Dec 11, 2026 · at developer | ×300 | $15 / $120 · Context 400,000 | ×300 / ×300 |
| openai/gpt-5.2-pro | ×420 | $21 / $168 · Context 400,000 | ×420 / ×420 |
| openai/gpt-5.4-pro | ×480 | $30 / $180Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,050,000 | ×600 / ×450 |
| openai/gpt-5.5-pro | ×480 | $30 / $180Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 1,050,000 | ×600 / ×450 |
| openai/o1-pro Deprecated · retires Oct 23, 2026 · at developer | ×1800 | $150 / $600 · Context 200,000 | ×3000 / ×1500 |
DeepInfra Aggregator
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo | ×0.2 | $0.02 / $0.04 · Context 128,000 | ×0.4 / ×0.1 |
| google/gemma-4-31B-it-turbo | ×1.0 | $0.09 / $0.34 · Context 256,000 | ×1.8 / ×0.9 |
| meta-llama/Llama-3.3-70B-Instruct-Turbo | ×1.0 | $0.1 / $0.32 · Context 128,000 | ×2.0 / ×0.8 |
| nvidia/Nemotron-Content-Safety-3.5 | ×1.2 | $0.2 / $0.2 · Context 128,000 | ×4.0 / ×0.5 |
| nvidia/NVIDIA-Nemotron-3.5-Super-VL | ×1.2 | $0.1 / $0.4 · Context 256,000 | ×2.0 / ×1.0 |
| meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo | ×2.4 | $0.4 / $0.4 · Context 128,000 | ×8.0 / ×1.0 |
| google/gemma-4-31B-it-Ultra | ×2.6 | $0.27 / $0.76 · Context 128,000 | ×5.4 / ×1.9 |
| Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo | ×3.2 | $0.3 / $1 · Context 256,000 | ×6.0 / ×2.5 |
| google/gemini-3.1-flash-lite | ×4.0 | $0.25 / $1.5 · Context 1,048,576 | ×5.0 / ×3.8 |
| google/gemini-2.5-flash | ×6.2 | $0.3 / $2.5 · Arena rank #151 · Context 1,048,576 | ×6.0 / ×6.3 |
| anthropic/claude-haiku-4-5 | ×14 | $1 / $5 · Context 200,000 | ×20 / ×13 |
| Qwen/Qwen3.8-Max | ×17 | $1.65 / $4.951 · Arena rank #24 · Context 1,000,000 | ×33 / ×12 |
| google/gemini-3.5-flash | ×24 | $1.5 / $9 · Arena rank #33Arena has 2 reviewed evaluations for Gemini 3.5 Flash.AI for Less conservatively uses the lowest-performing result: gemini-3.5-flash-medium (Medium).gemini-3.5-flash-high (High): Arena #29, rating 1477.gemini-3.5-flash-medium (Medium): Arena #33, rating 1476 — used. · Context 1,048,576 | ×30 / ×23 |
| google/gemini-2.5-pro | ×25 | $1.25 / $10 · Arena rank #87 · Context 1,048,576 | ×25 / ×25 |
| Qwen/Qwen3.7-Max | ×25 | $2.5 / $7.5 · Context 1,000,000 | ×50 / ×19 |
| google/gemini-3.1-pro | ×32 | $2 / $12 · Context 976,000 | ×40 / ×30 |
| anthropic/claude-sonnet-4-6 | ×42 | $3 / $15 · Arena rank #45 · Context 1,000,000 | ×60 / ×38 |
| anthropic/claude-sonnet-5 | ×42 | $3 / $15 · Arena rank #58Arena evaluated claude-sonnet-5-high (High), not the base model.This reviewed representative evaluation is used for Anthropic: Claude Sonnet 5's rank, filters and quality comparisons. · Context 1,000,000 | ×60 / ×38 |
| anthropic/claude-opus-4-7 | ×70 | $5 / $25 · Arena rank #11 · Context 1,000,000 | ×100 / ×63 |
| anthropic/claude-opus-4-8 | ×70 | $5 / $25 · Arena rank #40 · Context 1,000,000 | ×100 / ×63 |
| anthropic/claude-opus-5 | ×70 | $5 / $25 · Context 1,000,000 | ×100 / ×63 |
| anthropic/claude-fable-5 | ×140 | $10 / $50 · Context 1,000,000 | ×200 / ×125 |
Novita AI Aggregator
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| inclusionai/ling-3.0-flash | ×0.6 | $0.06 / $0.18 · Context 262,144 | ×1.2 / ×0.5 |
| inclusionai/ling-3.0-flash-sante | ×0.7 | $0.075 / $0.22 · Context 262,144 | ×1.5 / ×0.6 |
| inclusionai/ling-3.0-flash-fin | ×0.7 | $0.075 / $0.22 · Context 262,144 | ×1.5 / ×0.6 |
| inclusionai/ling-3.0-flash-vl | ×0.7 | $0.075 / $0.22 · Context 131,072 | ×1.5 / ×0.6 |
| baidu/ernie-4.5-21B-a3b | ×0.8 | $0.07 / $0.28 · Context 120,000 | ×1.4 / ×0.7 |
| qwen/qwen3.8-flash | ×1.5 | $0.15 / $0.47 · Context 1,000,000 | ×3.0 / ×1.2 |
| qwen/qwen-mt-plus | ×2.5 | $0.25 / $0.75 · Context 16,384 | ×5.0 / ×1.9 |
| inclusionai/ling-3.1-flash | ×3.0 | $0.3 / $0.9 · Context 262,144 | ×6.0 / ×2.3 |
| baidu/cobuddy | ×3.4 | $0.28 / $1.13 · Context 131,072 | ×5.6 / ×2.8 |
| deepseek/deepseek-v4.1-flash-1017 | ×3.6 | $0.3 / $1.2 · Context 1,048,576 | ×6.0 / ×3.0 |
| microsoft/wizardlm-2-8x22b | ×3.7 | $0.62 / $0.62 · Context 65,535 | ×12 / ×1.6 |
| minimax/minimax-m2.5-highspeed | ×7.2 | $0.6 / $2.4 · Context 204,800 | ×12 / ×6.0 |
| deepseek/deepseek-r1-turbo | ×7.8 | $0.7 / $2.5 · Context 64,000 | ×14 / ×6.3 |
| qwen/qwen3-max | ×10 | $0.845 / $3.38Prices vary by input length.The compact input/output pair and Cost Index use the starting input-length tier. Open the model page to see every published tier. · Context 262,144 | ×17 / ×8.5 |
| qwen/qwen3.7-max | ×13 | $1.25 / $3.75 · Context 1,000,000 | ×25 / ×9.4 |
| qwen/qwen3.8-max | ×20 | $2 / $6 · Arena rank #24 · Context 1,000,000 | ×40 / ×15 |
Hugging Face Inference Providers Aggregator
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| inclusionAI/Ling-3.0-flash | ×0.6 | $0.06 / $0.18 · Context 262,144 | ×1.2 / ×0.5 |
| inclusionAI/Ling-3.0-flash-Fin | ×0.6 | $0.06 / $0.18 · Context 262,144 | ×1.2 / ×0.5 |
| inclusionAI/Ling-3.0-flash-VL | ×0.6 | $0.06 / $0.18 · Context 131,072 | ×1.2 / ×0.5 |
| nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4 | ×1.8 | $0.2 / $0.5 · Arena rank #138 · Context 1,048,576 | ×4.0 / ×1.3 |
| inclusionAI/Ling-3.1-flash | ×3.0 | $0.3 / $0.9 · Context 262,144 | ×6.0 / ×2.3 |
| meta-models/Muse-Spark-Open-816B-A42B | ×14 | $1.25 / $4.25 · Context 1,048,576 | ×25 / ×11 |
Together AI Aggregator
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| Qwen/Qwen3.8-Flash | ×1.5 | $0.15 / $0.47 · Context 1,000,000 | ×3.0 / ×1.2 |
| nvidia/NVIDIA-Nemotron-3.5-Super-VL | ×1.6 | $0.15 / $0.5 · Context 256,000 | ×3.0 / ×1.3 |
| Qwen/Qwen3.7-Plus | ×3.8 | $0.32 / $1.28 · Arena rank #69 · Context 1,000,000 | ×6.4 / ×3.2 |
| meta-llama/Llama-3.3-70B-Instruct-Turbo | ×6.2 | $1.04 / $1.04 · Context 128,000 | ×21 / ×2.6 |
| Qwen/Qwen3.6-Plus | ×8.0 | $0.5 / $3 · Arena rank #90 · Context 1,000,000 | ×10 / ×7.5 |
| meta-models/Muse-Spark-Open-816B-A42B | ×14 | $1.25 / $4.25 · Context 1,048,576 | ×25 / ×11 |
| Qwen/Qwen3.7-Max | ×25 | $2.5 / $7.5 · Context 1,000,000 | ×50 / ×19 |
Fireworks AI Aggregator
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| accounts/fireworks/models/glm-5p3-flash | ×1.6 | $0.15 / $0.5 · Context 1,000,000 | ×3.0 / ×1.3 |
| accounts/fireworks/routers/glm-5p3-flash-us | ×2.4 | $0.225 / $0.75 · Context 1,000,000 | ×4.5 / ×1.9 |
| accounts/fireworks/models/deepseek-v4p1-flash | ×3.6 | $0.3 / $1.2 · Context 1,000,000 | ×6.0 / ×3.0 |
| accounts/fireworks/models/deepseek-v4p1-flash-1017 | ×3.6 | $0.3 / $1.2 · Context 1,000,000 | ×6.0 / ×3.0 |
| accounts/fireworks/routers/deepseek-v4p1-flash-us | ×5.4 | $0.45 / $1.8 · Context 1,000,000 | ×9.0 / ×4.5 |
| accounts/fireworks/models/nemotron-3-ultra-nvfp4 | ×7.2 | $0.6 / $2.4 · Context 1,000,000 | ×12 / ×6.0 |
| accounts/fireworks/models/glm-5p3 | ×14 | $1.4 / $4.4 · Context 1,000,000 | ×28 / ×11 |
| accounts/fireworks/models/qwen3p8-max | ×20 | $2 / $6 · Arena rank #24 · Context 1,000,000 | ×40 / ×15 |
| accounts/fireworks/routers/glm-5p3-us | ×22 | $2.1 / $6.6 · Context 1,000,000 | ×42 / ×17 |
| accounts/fireworks/routers/glm-5p3-fast | ×22 | $2.1 / $6.6 · Context 1,000,000 | ×42 / ×17 |
| accounts/fireworks/routers/kimi-k3-fast | ×63 | $4.5 / $22.5 · Context 1,000,000 | ×90 / ×56 |
Cloudflare Aggregator
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| @cf/meta/llama-3.1-8b-instruct-fp8-fast | ×0.9 | $0.045 / $0.384 | ×0.9 / ×1.0 |
| @cf/meta/llama-3-8b-instruct-awq Deprecated | ×1.0 | $0.123 / $0.266 · Context 8,192 | ×2.5 / ×0.7 |
| @cf/meta/llama-3.1-8b-instruct-awq Deprecated | ×1.0 | $0.123 / $0.266 · Context 8,192 | ×2.5 / ×0.7 |
| @cf/meta/llama-3.1-8b-instruct-fp8 | ×1.2 | $0.152 / $0.287 · Context 32,000 | ×3.0 / ×0.7 |
| @cf/ai4bharat/indictrans2-en-indic-1B | ×2.1 | $0.342 / $0.342 | ×6.8 / ×0.9 |
| @cf/meta/m2m100-1.2b | ×2.1 | $0.342 / $0.342 | ×6.8 / ×0.9 |
| @cf/meta/llama-3-8b-instruct Deprecated | ×2.8 | $0.282 / $0.827 · Arena rank #337 · Context 7,968 | ×5.6 / ×2.1 |
| @cf/moondream/moondream3.1-9B-A2B | ×3.2 | $0.3 / $1 | ×6.0 / ×2.5 |
| @cf/nvidia/nemotron-3-120b-a12b | ×5.0 | $0.5 / $1.5 · Context 256,000 | ×10 / ×3.8 |
| @cf/meta/llama-3.1-70b-instruct-fp8-fast | ×5.7 | $0.293 / $2.253 | ×5.9 / ×5.6 |
| @cf/meta/llama-3.3-70b-instruct-fp8-fast | ×5.7 | $0.293 / $2.253 · Context 24,000 | ×5.9 / ×5.6 |
| @cf/meta/llama-2-7b-chat-fp16 Deprecated | ×16 | $0.556 / $6.667 · Context 4,096 | ×11 / ×17 |
Amazon Bedrock Aggregator
| Model | Cost Index | Input / output price, Arena rank and context | Input / output index |
|---|---|---|---|
| NovaMicro | ×0.4 | $0.035 / $0.14 · Context 128,000 | ×0.7 / ×0.4 |
| Ministral-3-3b-Instruct | ×0.6 | $0.1 / $0.1 | ×2.0 / ×0.3 |
| Nemotron-Nano-9B-V2 | ×0.7 | $0.06 / $0.23 | ×1.2 / ×0.6 |
| NovaLite | ×0.7 | $0.06 / $0.24 · Context 300,000 | ×1.2 / ×0.6 |
| Nemotron-Nano-3-30B | ×0.7 | $0.06 / $0.24 | ×1.2 / ×0.6 |
| Ministral-3-8b-Instruct | ×0.9 | $0.15 / $0.15 | ×3.0 / ×0.4 |
| Llama3-2-11B | ×1.0 | $0.16 / $0.16 | ×3.2 / ×0.4 |
| TitanTextG1-Lite | ×1.0 | $0.15 / $0.2 | ×3.0 / ×0.5 |
| Mistral7B | ×1.0 | $0.15 / $0.2 | ×3.0 / ×0.5 |
| Voxtral-Mini-24B-2507 | ×1.0 | $0.1 / $0.3 | ×2.0 / ×0.8 |
| Ministral-3-14b-Instruct | ×1.2 | $0.2 / $0.2 | ×4.0 / ×0.5 |
| writer.palmyra-vision-7b | ×1.8 | $0.15 / $0.6 | ×3.0 / ×1.5 |
| Llama4-Scout-17B | ×2.0 | $0.17 / $0.66 | ×3.4 / ×1.7 |
| Nemotron-Nano-12B-V2-VL-BF16 | ×2.0 | $0.2 / $0.6 | ×4.0 / ×1.5 |
| TitanTextG1-Express | ×2.0 | $0.2 / $0.6 | ×4.0 / ×1.5 |
| Llama3-8B | ×2.4 | $0.3 / $0.6 | ×6.0 / ×1.5 |
| Llama4-Maverick-17B | ×2.9 | $0.24 / $0.97 | ×4.8 / ×2.4 |
| Mixtral8x7B | ×3.2 | $0.45 / $0.7 | ×9.0 / ×1.8 |
| Llama3-2-90B | ×4.3 | $0.72 / $0.72 | ×14 / ×1.8 |
| TitanText-Premier | ×5.0 | $0.5 / $1.5 | ×10 / ×3.8 |
| Mistral-Large-3-675b-Instruct | ×5.0 | $0.5 / $1.5 | ×10 / ×3.8 |
| mistral.devstral-2-123b | ×5.6 | $0.4 / $2 | ×8.0 / ×5.0 |
| Nova2.0Lite | ×6.8 | $0.33 / $2.75 · Arena rank #243 · Context 1,000,000 | ×6.6 / ×6.9 |
| Qwen3-VL-235B-A22B | ×7.4 | $0.53 / $2.66 | ×11 / ×6.7 |
| NovaPro | ×9.6 | $0.8 / $3.2 · Context 300,000 | ×16 / ×8.0 |
| MistralSmall | ×10 | $1 / $3 | ×20 / ×7.5 |
| Llama3-70B | ×18 | $2.65 / $3.5 | ×53 / ×8.8 |
| PixtralLarge2502 | ×20 | $2 / $6 | ×40 / ×15 |
| NovaPremier | ×35 | $2.5 / $12.5 · Context 1,000,000 | ×50 / ×31 |
| MistralLarge | ×40 | $4 / $12 · Context 128,000 | ×80 / ×30 |
Arena quality & value
| Model | Arena rank | Rating | Cost Index | Cheapest provider | Evaluation |
|---|---|---|---|---|---|
| Amazon Nova 2 Lite | 243 | 1335 | ×6.2 | OpenRouter | nova-2-lite |
| Anthropic: Claude Opus 4.6 | 8 | 1497 | ×70 | Anthropic | Claude Opus 4.6 |
| Anthropic: Claude Opus 4.7 | 11 | 1494 | ×70 | Anthropic | Claude Opus 4.7 |
| Anthropic: Claude Opus 4.8 | 40 | 1474 | ×70 | Anthropic | claude-opus-4-8 |
| Anthropic: Claude Sonnet 4.6 | 45 | 1472 | ×42 | Anthropic | claude-sonnet-4-6 |
| Anthropic: Claude Sonnet 5 | 58 | 1461 | ×28 | Anthropic | Arena evaluated claude-sonnet-5-high (High), not the base model. This reviewed representative evaluation is used for Anthropic: Claude Sonnet 5's rank, filters and quality comparisons. |
| c4ai-aya-expanse-32b | 312 | 1267 | ×5.0 | Cohere | c4ai-aya-expanse-32b |
| Claude Haiku 4 5 20251001 | 144 | 1414 | ×14 | Anthropic | claude-haiku-4-5-20251001 |
| Claude Opus 4 5 20251101 | 48 | 1470 | ×70 | Anthropic | claude-opus-4-5-20251101 |
| Claude Sonnet 4 5 20250929 | 70 | 1455 | ×42 | Anthropic | claude-sonnet-4-5-20250929 |
| Cohere: Command R (08-2024) | 322 | 1251 | ×1.8 | Cohere | command-r-08-2024 |
| Cohere: Command R+ (08-2024) | 306 | 1276 | ×30 | Cohere | command-r-plus-08-2024 |
| command-a-03-2025 | 212 | 1354 | ×30 | Cohere | command-a-03-2025 |
| DeepSeek V4 Flash 0423 (Preview) | 104 | 1436 | ×0.7 | DeepInfra | deepseek-v4-flash |
| DeepSeek-V3 | 208 | 1358 | ×3.1 | DeepInfra | deepseek-v3 |
| DeepSeek-V3-0324 | 167 | 1395 | ×2.8 | Hugging Face Inference Providers | deepseek-v3-0324 |
| DeepSeek-V3.1 | 135 | 1417 | ×2.9 | DeepInfra | deepseek-v3.1 |
| DeepSeek: DeepSeek V3.1 Terminus | 141 | 1415 | ×3.0 | Hugging Face Inference Providers | deepseek-v3.1-terminus |
| DeepSeek: DeepSeek V3.2 | 123 | 1425 | ×1.8 | DeepInfra | deepseek-v3.2 |
| DeepSeek: DeepSeek V3.2 Exp | 129 | 1422 | ×1.9 | Novita AI | deepseek-v3.2-exp |
| DeepSeek: DeepSeek V4 Pro 0423 | 64 | 1458 | ×7.6 | OpenRouter | deepseek-v4-pro |
| DeepSeek: R1 | 165 | 1398 | ×7.8 | Hugging Face Inference Providers | deepseek-r1 |
| DeepSeek: R1 0528 | 130 | 1421 | ×6.3 | DeepInfra | deepseek-r1-0528 |
| Gemini 2.5 Flash | 151 | 1409 | ×6.2 | DeepInfra | gemini-2.5-flash |
| Gemini 2.5 Pro | 87 | 1445 | ×25 | DeepInfra | gemini-2.5-pro |
| Gemini 3.1 Flash-Lite Preview | 110 | 1433 | ×4.0 | OpenRouter | gemini-3.1-flash-lite-preview |
| Gemini 3.1 Pro Preview | 19 | 1487 | ×32 | Gemini 3.1 Pro Preview | |
| Gemini 3.5 Flash | 33 | 1476 | ×24 | DeepInfra | Arena has 2 reviewed evaluations for Gemini 3.5 Flash. AI for Less conservatively uses the lowest-performing result: gemini-3.5-flash-medium (Medium). gemini-3.5-flash-high (High): Arena #29, rating 1477. gemini-3.5-flash-medium (Medium): Arena #33, rating 1476 — used. |
| Gemini 3.5 Flash-Lite | 72 | 1455 | ×6.2 | gemini-3.5-flash-lite | |
| Gemini 3.6 Flash | 23 | 1483 | ×11 | Arena evaluated gemini-3.6-flash-high (High), not the base model. This reviewed representative evaluation is used for Gemini 3.6 Flash's rank, filters and quality comparisons. | |
| Gemma 2 27B | 293 | 1290 | ×3.9 | OpenRouter | gemma-2-27b-it |
| Gemma 3 12B | 233 | 1342 | ×0.5 | DeepInfra | gemma-3-12b-it |
| Gemma 3 27B | 200 | 1365 | ×0.6 | DeepInfra | gemma-3-27b-it |
| Gemma 3 4B | 284 | 1303 | ×0.3 | Amazon Bedrock | gemma-3-4b-it |
| Gemma 4 31B | 76 | 1452 | ×6.9 | Cerebras | gemma-4-31b |
| GLM-4.5 | 150 | 1411 | ×6.8 | OpenRouter | glm-4.5 |
| GLM-4.5-Air | 196 | 1373 | ×2.2 | Hugging Face Inference Providers | glm-4.5-air |
| GLM-4.6 | 125 | 1424 | ×6.0 | Hugging Face Inference Providers | glm-4.6 |
| GLM-4.6V | 191 | 1378 | ×3.0 | Novita AI | glm-4.6v |
| GLM-4.7 | 95 | 1441 | ×5.1 | Hugging Face Inference Providers | glm-4.7 |
| GLM-4.7-Flash | 201 | 1365 | ×1.0 | Cloudflare | glm-4.7-flash |
| GLM-5 | 65 | 1457 | ×6.6 | Hugging Face Inference Providers | glm-5 |
| GLM-5.1 | 54 | 1465 | ×9.9 | OpenRouter | glm-5.1 |
| GLM-5.2 | 32 | 1476 | ×7.3 | OpenRouter | Arena evaluated glm-5.2-max (Max), not the base model. This reviewed representative evaluation is used for GLM-5.2's rank, filters and quality comparisons. |
| GLM-5.3 | 28 | 1479 | ×3.1 | OpenRouter | Arena evaluated glm-5.3-max (Max), not the base model. This reviewed representative evaluation is used for GLM-5.3's rank, filters and quality comparisons. |
| GLM-5V-Turbo | 109 | 1434 | ×13 | OpenRouter | glm-5v-turbo |
| gpt-3.5-turbo-0125 | 335 | 1226 | ×5.0 | OpenAI | gpt-3.5-turbo-0125 |
| gpt-3.5-turbo-1106 | 345 | 1204 | ×8.0 | OpenAI | gpt-3.5-turbo-1106 |
| GPT-4 Turbo (2024-04-09) | 253 | 1325 | ×100 | OpenAI | gpt-4-turbo-2024-04-09 |
| GPT-4 Turbo Preview | 272 | 1313 | ×100 | OpenAI | gpt-4-0125-preview |
| gpt-4-0314 | 296 | 1288 | ×240 | OpenAI | gpt-4-0314 |
| gpt-4-0613 | 307 | 1276 | ×240 | OpenAI | gpt-4-0613 |
| gpt-4.1-2025-04-14 | 142 | 1415 | ×24 | OpenAI | gpt-4.1-2025-04-14 |
| gpt-4.1-mini-2025-04-14 | 187 | 1383 | ×4.8 | OpenAI | gpt-4.1-mini-2025-04-14 |
| gpt-4.1-nano-2025-04-14 | 258 | 1322 | ×1.2 | OpenAI | gpt-4.1-nano-2025-04-14 |
| GPT-4.5 Preview (2025-02-27) | 88 | 1445 | ×600 | OpenAI | gpt-4.5-preview-2025-02-27 |
| gpt-4o-mini-2024-07-18 | 265 | 1318 | ×1.8 | OpenAI | gpt-4o-mini-2024-07-18 |
| gpt-5.2 | 105 | 1435 | ×35 | OpenAI | gpt-5.2 |
| gpt-5.3-chat-latest | 78 | 1450 | ×35 | OpenAI | gpt-5.3-chat-latest |
| gpt-5.6-luna | 75 | 1453 | ×1.6 | OpenRouter | Arena evaluated gpt-5.6-luna-xhigh (xHigh), not the base model. This reviewed representative evaluation is used for gpt-5.6-luna's rank, filters and quality comparisons. |
| gpt-5.6-sol | 21 | 1485 | ×14 | OpenRouter | Arena evaluated gpt-5.6-sol-xhigh (xHigh), not the base model. This reviewed representative evaluation is used for gpt-5.6-sol's rank, filters and quality comparisons. |
| gpt-5.6-terra | 51 | 1466 | ×16 | OpenRouter | Arena evaluated gpt-5.6-terra-xhigh (xHigh), not the base model. This reviewed representative evaluation is used for gpt-5.6-terra's rank, filters and quality comparisons. |
| gpt-oss-120b | 215 | 1352 | ×0.5 | Hugging Face Inference Providers | gpt-oss-120b |
| gpt-oss-20b | 267 | 1317 | ×0.3 | OpenRouter | gpt-oss-20b |
| Granite-4.2-30B | 235 | 1340 | ×1.9 | Hugging Face Inference Providers | granite-4.2-30b |
| Granite-4.2-3B | 292 | 1290 | ×0.4 | Hugging Face Inference Providers | granite-4.2-3b |
| Granite-4.2-8B | 290 | 1290 | ×0.7 | Hugging Face Inference Providers | granite-4.2-8b |
| Grok 4.5 | 52 | 1466 | ×20 | OpenRouter | grok-4.5 |
| Grok 4.6 | 73 | 1454 | ×20 | OpenRouter | Arena evaluated grok-4.6-high (High), not the base model. This reviewed representative evaluation is used for Grok 4.6's rank, filters and quality comparisons. |
| Llama 3 8b Instruct | 337 | 1224 | ×2.8 | Cloudflare | llama-3-8b-instruct |
| Meta: Llama 3.1 70B Instruct | 289 | 1293 | ×2.4 | OpenRouter | llama-3.1-70b-instruct |
| Meta: Llama 3.1 8B Instruct | 343 | 1211 | ×0.2 | Hugging Face Inference Providers | llama-3.1-8b-instruct |
| Meta: Llama 3.2 1B Instruct | 398 | 1111 | ×0.5 | Cloudflare | llama-3.2-1b-instruct |
| Meta: Llama 3.2 3B Instruct | 369 | 1167 | ×0.9 | OpenRouter | llama-3.2-3b-instruct |
| Meta: Llama 3.3 70B Instruct | 264 | 1318 | ×1.0 | OpenRouter | llama-3.3-70b-instruct |
| Meta: Llama 4 Maverick | 249 | 1327 | ×2.1 | OpenRouter | llama-4-maverick-17b-128e-instruct |
| Meta: Llama 4 Scout | 260 | 1322 | ×0.9 | Hugging Face Inference Providers | llama-4-scout-17b-16e-instruct |
| Meta: Muse Spark 1.1 | 13 | 1490 | ×14 | OpenRouter | Muse Spark 1.1 |
| MiniMax-M1 | 202 | 1364 | ×6.6 | OpenRouter | minimax-m1 |
| MiniMax-M2 | 227 | 1343 | ×3.1 | OpenRouter | minimax-m2 |
| MiniMax-M2.5 | 176 | 1391 | ×3.0 | OpenRouter | minimax-m2.5 |
| MiniMax-M2.7 | 140 | 1415 | ×3.0 | Hugging Face Inference Providers | minimax-m2.7 |
| MiniMax-M3 | 96 | 1441 | ×3.3 | Hugging Face Inference Providers | minimax-m3 |
| Mistral Large 2407 | 269 | 1314 | ×20 | OpenRouter | mistral-large-2407 |
| Mistral Large 4 | 111 | 1432 | ×6.9 | Mistral AI | mistral-large-4 |
| Mistral Medium 3.5 | 117 | 1426 | ×21 | Mistral AI | mistral-medium-3.5 |
| Mistral Small 3 | 308 | 1274 | ×0.4 | DeepInfra | mistral-small-24b-instruct-2501 |
| MoonshotAI: Kimi K2.5 | 114 | 1431 | ×6.3 | Hugging Face Inference Providers | Arena has 2 reviewed evaluations for MoonshotAI: Kimi K2.5. AI for Less conservatively uses the lowest-performing result: kimi-k2.5-instant (Instant). kimi-k2.5-thinking (Thinking): Arena #79, rating 1450. kimi-k2.5-instant (Instant): Arena #114, rating 1431 — used. |
| MoonshotAI: Kimi K2.6 | 59 | 1461 | ×9.4 | OpenRouter | kimi-k2.6 |
| Nemotron-3-Nano-30B-A3B | 271 | 1314 | ×0.6 | Novita AI | Arena evaluated nvidia-nemotron-3-nano-30b-a3b-bf16 (BF16), not the base model. This reviewed representative evaluation is used for Nemotron-3-Nano-30B-A3B's rank, filters and quality comparisons. |
| Nvidia Nemotron 3 Ultra 550b A55b Nvfp4 | 121 | 1426 | ×7.2 | Hugging Face Inference Providers | nvidia-nemotron-3-ultra-550b-a55b-nvfp4 |
| Nvidia Nemotron 3.5 Super Vl 120b A12b Nvfp4 | 138 | 1416 | ×1.8 | Hugging Face Inference Providers | nvidia-nemotron-3.5-super-vl-120b-a12b-nvfp4 |
| NVIDIA-Nemotron-3-Super-120B-A12B | 206 | 1360 | ×1.1 | DeepInfra | nvidia-nemotron-3-super-120b-a12b |
| o1-2024-12-17 | 158 | 1402 | ×180 | OpenAI | o1-2024-12-17 |
| o1-mini | 237 | 1337 | ×13 | OpenAI | o1-mini |
| o1-preview | 178 | 1389 | ×180 | OpenAI | o1-preview |
| o3-mini | 220 | 1348 | ×13 | OpenAI | o3-mini |
| o4-mini-2025-04-16 | 174 | 1391 | ×13 | OpenAI | o4-mini-2025-04-16 |
| OpenAI: GPT-4o (2024-05-13) | 225 | 1346 | ×50 | OpenAI | gpt-4o-2024-05-13 |
| OpenAI: GPT-4o (2024-08-06) | 240 | 1336 | ×30 | OpenAI | gpt-4o-2024-08-06 |
| OpenAI: GPT-5 | 106 | 1435 | ×25 | OpenAI | Arena evaluated gpt-5-high (High), not the base model. This reviewed representative evaluation is used for OpenAI: GPT-5's rank, filters and quality comparisons. |
| OpenAI: GPT-5 Mini | 177 | 1390 | ×5.0 | OpenAI | Arena evaluated gpt-5-mini-high (High), not the base model. This reviewed representative evaluation is used for OpenAI: GPT-5 Mini's rank, filters and quality comparisons. |
| OpenAI: GPT-5 Nano | 236 | 1338 | ×1.0 | OpenAI | Arena evaluated gpt-5-nano-high (High), not the base model. This reviewed representative evaluation is used for OpenAI: GPT-5 Nano's rank, filters and quality comparisons. |
| OpenAI: GPT-5.1 | 99 | 1439 | ×25 | OpenAI | gpt-5.1 |
| OpenAI: GPT-5.4 | 55 | 1465 | ×40 | OpenAI | gpt-5.4 |
| OpenAI: GPT-5.4 Mini | 85 | 1447 | ×12 | OpenAI | Arena evaluated gpt-5.4-mini-high (High), not the base model. This reviewed representative evaluation is used for OpenAI: GPT-5.4 Mini's rank, filters and quality comparisons. |
| OpenAI: GPT-5.4 Nano | 161 | 1401 | ×3.3 | OpenAI | Arena evaluated gpt-5.4-nano-high (High), not the base model. This reviewed representative evaluation is used for OpenAI: GPT-5.4 Nano's rank, filters and quality comparisons. |
| OpenAI: GPT-5.5 | 31 | 1477 | ×80 | OpenAI | gpt-5.5 |
| Phi-4 | 320 | 1256 | ×0.6 | DeepInfra | phi-4 |
| Qwen: Qwen3 235B A22B | 192 | 1375 | ×2.0 | Hugging Face Inference Providers | qwen3-235b-a22b |
| Qwen: Qwen3 235B A22B Thinking 2507 | 163 | 1400 | ×5.5 | Alibaba / Qwen | qwen3-235b-a22b-thinking-2507 |
| Qwen: Qwen3 30B A3B | 250 | 1327 | ×1.5 | DeepInfra | qwen3-30b-a3b |
| Qwen: Qwen3 30B A3B Instruct 2507 | 188 | 1382 | ×1.0 | OpenRouter | qwen3-30b-a3b-instruct-2507 |
| Qwen: Qwen3 32B | 223 | 1347 | ×0.8 | Hugging Face Inference Providers | qwen3-32b |
| Qwen: Qwen3 Next 80B A3B Instruct | 164 | 1399 | ×2.6 | DeepInfra | qwen3-next-80b-a3b-instruct |
| Qwen: Qwen3 Next 80B A3B Thinking | 198 | 1369 | ×3.0 | Alibaba / Qwen | qwen3-next-80b-a3b-thinking |
| Qwen: Qwen3 VL 235B A22B Instruct | 146 | 1413 | ×2.6 | DeepInfra | qwen3-vl-235b-a22b-instruct |
| Qwen: Qwen3 VL 235B A22B Thinking | 168 | 1395 | ×9.6 | OpenRouter | qwen3-vl-235b-a22b-thinking |
| Qwen: Qwen3.5 397B A17B | 94 | 1442 | ×7.8 | DeepInfra | qwen3.5-397b-a17b |
| Qwen: Qwen3.5-122B-A10B | 136 | 1416 | ×5.2 | OpenRouter | qwen3.5-122b-a10b |
| Qwen: Qwen3.5-27B | 153 | 1409 | ×3.9 | OpenRouter | qwen3.5-27b |
| Qwen: Qwen3.5-35B-A3B | 169 | 1394 | ×2.6 | DeepInfra | qwen3.5-35b-a3b |
| Qwen: Qwen3.6 Max Preview | 60 | 1461 | ×16 | OpenRouter | qwen3.6-max-preview |
| Qwen: Qwen3.6 Plus | 90 | 1443 | ×5.2 | OpenRouter | qwen3.6-plus |
| Qwen: Qwen3.7 Plus | 69 | 1456 | ×3.8 | OpenRouter | qwen3.7-plus |
| Qwen: Qwen3.8 27B | 100 | 1438 | ×0.0 | OpenRouter | qwen3.8-27b |
| Qwen: Qwen3.8 Max | 24 | 1482 | ×17 | DeepInfra | qwen3.8-max |
| Qwen2.5 Coder 32b Instruct | 311 | 1271 | ×0.6 | Hugging Face Inference Providers | qwen2.5-coder-32b-instruct |
| Qwen2.5-72B-Instruct | 285 | 1303 | ×2.2 | DeepInfra | qwen2.5-72b-instruct |
| Qwen3-235B-A22B-Instruct-2507 | 128 | 1422 | ×1.5 | DeepInfra | qwen3-235b-a22b-instruct-2507 |
| Qwen3-Coder-480B-A35B-Instruct | 180 | 1388 | ×4.6 | Hugging Face Inference Providers | qwen3-coder-480b-a35b-instruct |
| qwen3-max-2025-09-23 | 126 | 1423 | ×17 | Alibaba / Qwen | qwen3-max-2025-09-23 |
| qwen3-max-preview | 107 | 1434 | ×17 | Alibaba / Qwen | qwen3-max-preview |
| qwen3.5-flash | 166 | 1396 | ×1.2 | Alibaba / Qwen | qwen3.5-flash |
| qwen3.7-max-preview | 39 | 1474 | ×25 | Alibaba / Qwen | qwen3.7-max-preview |
| Qwq 32b | 241 | 1336 | ×4.6 | Cloudflare | qwq-32b |
| Tencent: Hy3 | 74 | 1453 | ×1.6 | Hugging Face Inference Providers | hy3 |
| xAI: Grok 4.3 | 93 | 1442 | ×10 | OpenRouter | grok-4.3 |
| Xiaomi: MiMo-V2.5 | 108 | 1434 | ×1.1 | Hugging Face Inference Providers | mimo-v2.5 |
| Xiaomi: MiMo-V2.5-Pro | 49 | 1467 | ×3.5 | OpenRouter | mimo-v2.5-pro |
| Xiaomi: MiMo-V2.6-Flash | 77 | 1451 | ×1.1 | Novita AI | mimo-v2.6-flash |
| Xiaomi: MiMo-V2.6-Pro | 27 | 1479 | ×3.5 | Novita AI | mimo-v2.6-pro |
| Z.ai: GLM 4.5V | 214 | 1352 | ×6.0 | Hugging Face Inference Providers | glm-4.5v |
| Z.ai: GLM 5.3 Flash | 41 | 1474 | ×0.6 | OpenRouter | glm-5.3-flash |
Quality vs cost
Arena Top 10
| Model | Arena rank and Cost Index |
|---|---|
| Anthropic: Claude Opus 4.6 | Arena #8 · Cost ×70 |
| Anthropic: Claude Opus 4.7 | Arena #11 · Cost ×70 |
| Meta: Muse Spark 1.1 | Arena #13 · Cost ×14 |
| Gemini 3.1 Pro Preview | Arena #19 · Cost ×32 |
| gpt-5.6-sol | Arena #21 · Cost ×14Arena evaluated gpt-5.6-sol-xhigh (xHigh), not the base model.This reviewed representative evaluation is used for gpt-5.6-sol's rank, filters and quality comparisons. |
| Gemini 3.6 Flash | Arena #23 · Cost ×11Arena evaluated gemini-3.6-flash-high (High), not the base model.This reviewed representative evaluation is used for Gemini 3.6 Flash's rank, filters and quality comparisons. |
| Qwen: Qwen3.8 Max | Arena #24 · Cost ×17 |
| Xiaomi: MiMo-V2.6-Pro | Arena #27 · Cost ×3.5 |
| GLM-5.3 | Arena #28 · Cost ×3.1Arena evaluated glm-5.3-max (Max), not the base model.This reviewed representative evaluation is used for GLM-5.3's rank, filters and quality comparisons. |
| OpenAI: GPT-5.5 | Arena #31 · Cost ×80 |