Model Comparison

Claude Sonnet 4.5 vs Codestral-22B

Comparing Claude Sonnet 4.5 and Codestral-22B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Claude Sonnet 4.5 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

Context Window

Maximum input and output token capacity

Only Claude Sonnet 4.5 specifies input context (200,000 tokens). Only Claude Sonnet 4.5 specifies output context (64,000 tokens).

Anthropic
Claude Sonnet 4.5
Input200,000 tokens
Output64,000 tokens
Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Wed May 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude Sonnet 4.5 supports multimodal inputs, whereas Codestral-22B does not.

Claude Sonnet 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Sonnet 4.5

Text
Images
Audio
Video

Codestral-22B

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Sonnet 4.5 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 Sonnet 4.5

Proprietary

Closed source

Codestral-22B

MNPL-0.1

Open weights

Release Timeline

When each model was launched

Claude Sonnet 4.5 was released on 2025-09-29, while Codestral-22B was released on 2024-05-29.

Claude Sonnet 4.5 is 16 months newer than Codestral-22B.

Claude Sonnet 4.5

Sep 29, 2025

7 months ago

1.3yr newer
Codestral-22B

May 29, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Claude Sonnet 4.5 has a documented knowledge cutoff of 2025-01-31, while Codestral-22B's cutoff date is not specified.

We can confirm Claude Sonnet 4.5's training data extends to 2025-01-31, but cannot make a direct comparison without Codestral-22B's cutoff date.

Claude Sonnet 4.5

Jan 2025

Codestral-22B

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Outputs Comparison

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Key Takeaways

Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs
Mistral AI
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Sonnet 4.5
Mistral AI
Codestral-22B

FAQ

Common questions about Claude Sonnet 4.5 vs Codestral-22B.

Which is better, Claude Sonnet 4.5 or Codestral-22B?

Claude Sonnet 4.5 (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.

How does Claude Sonnet 4.5 compare to Codestral-22B in benchmarks?

Claude Sonnet 4.5 scores MMMLU: 89.1%, AIME 2025: 87.0%, TAU-bench Retail: 86.2%, GPQA: 83.4%, MMMUval: 77.8%. Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%.

What are the context window sizes for Claude Sonnet 4.5 and Codestral-22B?

Claude Sonnet 4.5 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.

What are the main differences between Claude Sonnet 4.5 and Codestral-22B?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs MNPL-0.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Sonnet 4.5 and Codestral-22B?

Claude Sonnet 4.5 is developed by Anthropic and Codestral-22B is developed by Mistral AI.