Model Comparison

Claude Opus 4 vs Codestral-22B

Comparing Claude Opus 4 and Codestral-22B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Claude Opus 4 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 Opus 4 specifies input context (200,000 tokens). Only Claude Opus 4 specifies output context (32,000 tokens).

Anthropic
Claude Opus 4
Input200,000 tokens
Output32,000 tokens
Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude Opus 4 supports multimodal inputs, whereas Codestral-22B does not.

Claude Opus 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Opus 4

Text
Images
Audio
Video

Codestral-22B

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Opus 4 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 Opus 4

Proprietary

Closed source

Codestral-22B

MNPL-0.1

Open weights

Release Timeline

When each model was launched

Claude Opus 4 was released on 2025-05-22, while Codestral-22B was released on 2024-05-29.

Claude Opus 4 is 12 months newer than Codestral-22B.

Claude Opus 4

May 22, 2025

1.0 years ago

11mo newer
Codestral-22B

May 29, 2024

2.0 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 Opus 4
Mistral AICodestral-22B
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Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Opus 4
Mistral AI
Codestral-22B

FAQ

Common questions about Claude Opus 4 vs Codestral-22B.

Which is better, Claude Opus 4 or Codestral-22B?

Claude Opus 4 (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 Opus 4 compare to Codestral-22B in benchmarks?

Claude Opus 4 scores MMMLU: 88.8%, TAU-bench Retail: 81.4%, GPQA: 79.6%, MMMU (validation): 76.5%, AIME 2025: 75.5%. 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 Opus 4 and Codestral-22B?

Claude Opus 4 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 Opus 4 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 Opus 4 and Codestral-22B?

Claude Opus 4 is developed by Anthropic and Codestral-22B is developed by Mistral AI.