Model Comparison

Claude 3.7 Sonnet vs Codestral-22B

Comparing Claude 3.7 Sonnet and Codestral-22B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Claude 3.7 Sonnet and Codestral-22B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Mar 27 2026 • llm-stats.com
Anthropic
Claude 3.7 Sonnet
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

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).

Anthropic
Claude 3.7 Sonnet
Input200,000 tokens
Output128,000 tokens
Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Fri Mar 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3.7 Sonnet supports multimodal inputs, whereas Codestral-22B 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

Text
Images
Audio
Video

Codestral-22B

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3.7 Sonnet is licensed under a proprietary license, while Codestral-22B uses MNPL-0.1.

License differences may affect how you can use these models in commercial or open-source projects.

Claude 3.7 Sonnet

Proprietary

Closed source

Codestral-22B

MNPL-0.1

Open weights

Release Timeline

When each model was launched

Claude 3.7 Sonnet was released on 2025-02-24, while Codestral-22B was released on 2024-05-29.

Claude 3.7 Sonnet is 9 months newer than Codestral-22B.

Claude 3.7 Sonnet

Feb 24, 2025

1.1 years ago

9mo newer
Codestral-22B

May 29, 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.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs
Mistral AI
Has open weights
AnthropicClaude 3.7 Sonnet
Mistral AICodestral-22B
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Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3.7 Sonnet
Mistral AI
Codestral-22B

FAQ

Common questions about Claude 3.7 Sonnet vs Codestral-22B

Claude 3.7 Sonnet (Anthropic) and Codestral-22B (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Claude 3.7 Sonnet scores MATH-500: 96.2%, IFEval: 93.2%, MMMLU: 86.1%, GPQA: 84.8%, TAU-bench Retail: 81.2%. Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%.
Claude 3.7 Sonnet supports 200K tokens and Codestral-22B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (Proprietary vs MNPL-0.1). See the full comparison above for benchmark-by-benchmark results.
Claude 3.7 Sonnet is developed by Anthropic and Codestral-22B is developed by Mistral AI.