Codestral-22B vs Claude 3 Opus Comparison

Comparing Codestral-22B and Claude 3 Opus across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Codestral-22B outperforms in 0 benchmarks, while Claude 3 Opus is better at 1 benchmark (HumanEval).

Claude 3 Opus significantly outperforms across most benchmarks.

Tue Mar 17 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
Tue Mar 17 2026 • llm-stats.com
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Anthropic
Claude 3 Opus
Input tokens$15.00
Output tokens$75.00
Best providerAnthropic
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Context Window

Maximum input and output token capacity

Only Claude 3 Opus specifies input context (200,000 tokens). Only Claude 3 Opus specifies output context (200,000 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Anthropic
Claude 3 Opus
Input200,000 tokens
Output200,000 tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3 Opus supports multimodal inputs, whereas Codestral-22B does not.

Claude 3 Opus can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

Claude 3 Opus

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Claude 3 Opus uses a proprietary license.

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

Codestral-22B

MNPL-0.1

Open weights

Claude 3 Opus

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Claude 3 Opus was released on 2024-02-29.

Codestral-22B is 3 months newer than Claude 3 Opus.

Codestral-22B

May 29, 2024

1.8 years ago

3mo newer
Claude 3 Opus

Feb 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

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Key Takeaways

Has open weights
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher HumanEval score (84.9% vs 81.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Codestral-22B
Anthropic
Claude 3 Opus