Model Comparison

Codestral-22B vs Claude 3.5 Haiku

Claude 3.5 Haiku significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

Claude 3.5 Haiku significantly outperforms across most benchmarks.

Tue Apr 14 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 14 2026 • llm-stats.com
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Anthropic
Claude 3.5 Haiku
Input tokens$0.80
Output tokens$4.00
Best providerAWS Bedrock
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Context Window

Maximum input and output token capacity

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

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Anthropic
Claude 3.5 Haiku
Input200,000 tokens
Output200,000 tokens
Tue Apr 14 2026 • llm-stats.com

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Claude 3.5 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 3.5 Haiku

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

Codestral-22B

May 29, 2024

1.9 years ago

Claude 3.5 Haiku

Oct 22, 2024

1.5 years ago

4mo newer

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
Anthropic
Larger context window (200,000 tokens)
Higher HumanEval score (88.1% vs 81.1%)

Detailed Comparison

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

FAQ

Common questions about Codestral-22B vs Claude 3.5 Haiku

Claude 3.5 Haiku significantly outperforms across most benchmarks. Codestral-22B is made by Mistral AI and Claude 3.5 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 3.5 Haiku scores HumanEval: 88.1%, MGSM: 85.6%, DROP: 83.1%, MATH: 69.4%, MMLU-Pro: 65.0%.
Codestral-22B supports an unknown number of tokens and Claude 3.5 Haiku supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include 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 3.5 Haiku is developed by Anthropic.