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Claude 3.7 Sonnet vs Codestral-22B

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

Anthropic · Mistral AI · Updated for 2026

Which is better?

Claude 3.7 Sonnet and Codestral-22B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Claude 3.7 Sonnet

  • you want the most recent training data — it shipped Feb 2025

Choose Codestral-22B

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
200,000
Released
Feb 2025
May 2024
License
Proprietary
MNPL-0.1

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

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

Arena Performance

Playground indexes and blind preference scores

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
Wed Aug 26 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

1.5 years ago

9mo newer
Codestral-22B

May 29, 2024

2.2 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

Judge for yourself.

Run your own prompts against Claude 3.7 Sonnet and Codestral-22B side-by-side, then vote on the output you prefer.

Claude 3.7 Sonnet
✓ Preferred
Codestral-22B
Open in Playground

FAQ

Common questions about Claude 3.7 Sonnet vs Codestral-22B.

Which is better, Claude 3.7 Sonnet or 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.

How does Claude 3.7 Sonnet compare to Codestral-22B in benchmarks?

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%.

What are the context window sizes for Claude 3.7 Sonnet and Codestral-22B?

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.

What are the main differences between Claude 3.7 Sonnet 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 3.7 Sonnet and Codestral-22B?

Claude 3.7 Sonnet is developed by Anthropic and Codestral-22B is developed by Mistral AI.