Claude 3.5 Sonnet vs Codestral-22B Comparison

Comparing Claude 3.5 Sonnet and Codestral-22B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Claude 3.5 Sonnet outperforms in 1 benchmarks (HumanEval), while Codestral-22B is better at 0 benchmarks.

Claude 3.5 Sonnet significantly outperforms across most benchmarks.

Sat Mar 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Mar 21 2026 • llm-stats.com
Anthropic
Claude 3.5 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
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Context Window

Maximum input and output token capacity

Only Claude 3.5 Sonnet specifies input context (200,000 tokens). Only Claude 3.5 Sonnet specifies output context (200,000 tokens).

Anthropic
Claude 3.5 Sonnet
Input200,000 tokens
Output200,000 tokens
Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Sat Mar 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3.5 Sonnet supports multimodal inputs, whereas Codestral-22B does not.

Claude 3.5 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3.5 Sonnet

Text
Images
Audio
Video

Codestral-22B

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3.5 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 3.5 Sonnet

Proprietary

Closed source

Codestral-22B

MNPL-0.1

Open weights

Release Timeline

When each model was launched

Claude 3.5 Sonnet was released on 2024-10-22, while Codestral-22B was released on 2024-05-29.

Claude 3.5 Sonnet is 5 months newer than Codestral-22B.

Claude 3.5 Sonnet

Oct 22, 2024

1.4 years ago

4mo 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

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Key Takeaways

Larger context window (200,000 tokens)
Supports multimodal inputs
Higher HumanEval score (93.7% vs 81.1%)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3.5 Sonnet
Mistral AI
Codestral-22B