Claude 3.7 Sonnet vs Pixtral Large
Claude 3.7 Sonnet leads the LLM Stats Score 24.2 to 12.2. Pixtral Large 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 24.2 to 12.2, ranking #153 overall.
In the 1 individual benchmarks reported for both models, Claude 3.7 Sonnet wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Pixtral Large 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 24.2 and ranks #153 on LLM Stats
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Feb 2025
Choose Pixtral Large
- 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.
Individual benchmarks
11 reported for Claude 3.7 Sonnet · 7 for Pixtral Large
Claude 3.7 Sonnet outperforms in 1 benchmarks (MMMU), while Pixtral Large is better at 0 benchmarks.
Claude 3.7 Sonnet significantly outperforms across most benchmarks.
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 Pixtral Large ($2.00/1M tokens).
For output processing, Claude 3.7 Sonnet ($15.00/1M tokens) is 2.5x more expensive than Pixtral Large ($6.00/1M tokens).
In conclusion, Claude 3.7 Sonnet is more expensive than Pixtral Large.*
* 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 Pixtral Large's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude 3.7 Sonnet and Pixtral Large support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude 3.7 Sonnet
Pixtral Large
License
Usage and distribution terms
Claude 3.7 Sonnet is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Open weights
Release Timeline
When each model was launched
Claude 3.7 Sonnet was released on 2025-02-24, while Pixtral Large was released on 2024-11-18.
Claude 3.7 Sonnet is 3 months newer than Pixtral Large.
Feb 24, 2025
1.5 years ago
3mo newerNov 18, 2024
1.8 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. Pixtral Large is available from Mistral AI.
Claude 3.7 Sonnet
Pixtral Large
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3.7 Sonnet and Pixtral Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.7 Sonnet vs Pixtral Large.