Claude 3.7 Sonnet Extended Thinking vs Mistral Large: Benchmarks, Pricing, and Context Window Comparison
Claude 3.7 Sonnet Extended Thinking vs Mistral Large compares provider, context window, token pricing, benchmark performance, and release timeline in one side-by-side view. Use this page to quickly identify which model is a better fit for your production constraints, quality targets, and estimated cost per request.
Verdict
Mistral Large has lower listed token pricing, while Claude 3.7 Sonnet Extended Thinking can still be preferable if benchmark results better match your workload.
Author: Mirai Minds Research Team
Last updated:
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Overview
Claude 3.7 Sonnet Extended Thinking was released 12 months after Mistral Large.
 Claude 3.7 Sonnet Extended Thinking | Mistral Large | |
|---|---|---|
Provider The entity that provides this model. | Anthropic | Mistral |
Input Context Window The number of tokens supported by the input context window. | 200K tokens | 32K tokens |
Maximum Output Tokens The number of tokens that can be generated by the model in a single request. | 64000 tokens | 4,096 tokens |
Release Date When the model was first released. | Feb 24, 2025 over 1 yearago 2025-02-24 | Feb 26, 2024 over 1 year 2024-02-26 |
Leaderboard
| Claude 3.7 Sonnet Extended Thinking | Mistral Large | |
|---|---|---|
Rank | Unknown | Unknown |
Arena Elo | Not specified. | Not specified. |
95% CI | Not specified. | Not specified. |
Votes | Not specified. | Not specified. |
License | Not specified. | Not specified. |
Knowledge Cutoff | Unknown | Unknown |
Pricing
| Claude 3.7 Sonnet Extended Thinking | Mistral Large | |
|---|---|---|
Input Cost of input data provided to the model. | $3 per million tokens | $8.00 per million tokens |
Output Cost of output tokens generated by the model. | $15 per million tokens | $8.00 per million tokens |
Benchmarks
Compare relevant benchmarks between Claude 3.7 Sonnet Extended Thinking and Mistral Large Instruct.
| Claude 3.7 Sonnet Extended Thinking | Mistral Large | |
|---|---|---|
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings. | Benchmark not available. | 81.2 (5-shot) |
MMMU A wide ranging multi-discipline and multimodal benchmark. | 75 | Benchmark not available. |
HellaSwag A challenging sentence completion benchmark. | Benchmark not available. | 89.2 (10-shot) |