Model Comparison

Codestral-22B vs Claude 3 Haiku

Codestral-22B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

Codestral-22B significantly outperforms across most benchmarks.

Tue Apr 07 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 Apr 07 2026 • llm-stats.com
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Anthropic
Claude 3 Haiku
Input tokens$0.25
Output tokens$1.25
Best providerAnthropic
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Context Window

Maximum input and output token capacity

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

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Anthropic
Claude 3 Haiku
Input200,000 tokens
Output200,000 tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Claude 3 Haiku 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 Haiku

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Claude 3 Haiku 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 Haiku

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Claude 3 Haiku was released on 2024-03-13.

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

Codestral-22B

May 29, 2024

1.9 years ago

2mo newer
Claude 3 Haiku

Mar 13, 2024

2.1 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

Mistral AI
Has open weights
Higher HumanEval score (81.1% vs 75.9%)
Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs

Detailed Comparison

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

FAQ

Common questions about Codestral-22B vs Claude 3 Haiku

Codestral-22B significantly outperforms across most benchmarks. Codestral-22B is made by Mistral AI and Claude 3 Haiku is made by Anthropic. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Claude 3 Haiku scores ARC-C: 89.2%, GSM8k: 88.9%, HellaSwag: 85.9%, DROP: 78.4%, HumanEval: 75.9%.
Codestral-22B supports an unknown number of tokens and Claude 3 Haiku supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes), licensing (MNPL-0.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Codestral-22B is developed by Mistral AI and Claude 3 Haiku is developed by Anthropic.