Model Comparison
Claude 3.7 Sonnet vs Mistral Small 3.1 24B Instruct
Claude 3.7 Sonnet significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3.7 Sonnet outperforms in 2 benchmarks (GPQA, MMMU), while Mistral Small 3.1 24B Instruct 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
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only Claude 3.7 Sonnet specifies input context (200,000 tokens). Only Claude 3.7 Sonnet specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Both Claude 3.7 Sonnet and Mistral Small 3.1 24B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude 3.7 Sonnet
Mistral Small 3.1 24B Instruct
License
Usage and distribution terms
Claude 3.7 Sonnet is licensed under a proprietary license, while Mistral Small 3.1 24B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Claude 3.7 Sonnet was released on 2025-02-24, while Mistral Small 3.1 24B Instruct was released on 2025-03-17.
Mistral Small 3.1 24B Instruct is 1 month newer than Claude 3.7 Sonnet.
Feb 24, 2025
1.1 years ago
Mar 17, 2025
1.0 years ago
3w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Claude 3.7 Sonnet
View detailsAnthropic
Detailed Comparison
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FAQ
Common questions about Claude 3.7 Sonnet vs Mistral Small 3.1 24B Instruct