Claude 3.7 Sonnet vs Mistral Large 2
Claude 3.7 Sonnet leads the LLM Stats Score 24.1 to 7.7. Mistral Large 2 is 2.0x cheaper per token.
Anthropic · Mistral AI · Updated for 2026
Which is better?
Claude 3.7 Sonnet leads the overall LLM Stats Score 24.1 to 7.7, ranking #159 overall.
On price, Mistral Large 2 is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3.7 Sonnet also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude 3.7 Sonnet
- overall performance matters — it scores 24.1 and ranks #159 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Feb 2025
Choose Mistral Large 2
- cost matters — it's about 2.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Claude 3.7 Sonnet · 5 for Mistral Large 2
Claude 3.7 Sonnet and Mistral Large 2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3.7 Sonnet ($3.00/1M tokens) is 1.5x more expensive than Mistral Large 2 ($2.00/1M tokens).
For output processing, Claude 3.7 Sonnet ($15.00/1M tokens) is 2.5x more expensive than Mistral Large 2 ($6.00/1M tokens).
In conclusion, Claude 3.7 Sonnet is more expensive than Mistral Large 2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3.7 Sonnet accepts 200,000 input tokens compared to Mistral Large 2's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude 3.7 Sonnet supports multimodal inputs, whereas Mistral Large 2 does not.
Claude 3.7 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3.7 Sonnet
Mistral Large 2
License
Usage and distribution terms
Claude 3.7 Sonnet is licensed under a proprietary license, while Mistral Large 2 uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Mistral Research License
Open weights
Release Timeline
When each model was launched
Claude 3.7 Sonnet was released on 2025-02-24, while Mistral Large 2 was released on 2024-07-24.
Claude 3.7 Sonnet is 7 months newer than Mistral Large 2.
Feb 24, 2025
1.5 years ago
7mo newerJul 24, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3.7 Sonnet is available from Anthropic, Bedrock, Google. Mistral Large 2 is available from Google, Mistral AI.
Claude 3.7 Sonnet
Mistral Large 2
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3.7 Sonnet and Mistral Large 2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.7 Sonnet vs Mistral Large 2.