Model Comparison
Claude 3.7 Sonnet vs Pixtral LargeWhich is better in 2026?
Claude 3.7 Sonnet significantly outperforms across most benchmarks. Pixtral Large is 2.0x cheaper per token.
Verdict: Claude 3.7 Sonnet vs Pixtral Large — which is better?
Claude 3.7 Sonnet (by Anthropic) and Pixtral Large (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
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.
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.
Choose Claude 3.7 Sonnet if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- 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 if…
- cost matters — it's about 2.0x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
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.
Arena Performance
Human preference votes
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
Supported data types and modalities
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
1.3 years ago
3mo newerNov 18, 2024
1.5 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
Key Takeaways
Claude 3.7 Sonnet
View detailsAnthropic
Pixtral Large
View detailsMistral AI
Claude 3.7 SonnetPixtral LargeDetailed Comparison
| Feature | | |
|---|
FAQ
Common questions about Claude 3.7 Sonnet vs Pixtral Large.