Model Comparison

Codestral-22B vs o1-mini

o1-mini 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 o1-mini is better at 1 benchmark (HumanEval).

o1-mini significantly outperforms across most benchmarks.

Wed Apr 22 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
Wed Apr 22 2026 • llm-stats.com
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
OpenAI
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
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Context Window

Maximum input and output token capacity

Only o1-mini specifies input context (128,000 tokens). Only o1-mini specifies output context (65,536 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Wed Apr 22 2026 • llm-stats.com

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while o1-mini 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

o1-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while o1-mini was released on 2024-09-12.

o1-mini is 4 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

1.9 years ago

o1-mini

Sep 12, 2024

1.6 years ago

3mo 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
OpenAI
Larger context window (128,000 tokens)
Higher HumanEval score (92.4% vs 81.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Codestral-22B
OpenAI
o1-mini

FAQ

Common questions about Codestral-22B vs o1-mini

o1-mini significantly outperforms across most benchmarks. Codestral-22B is made by Mistral AI and o1-mini is made by OpenAI. 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%. o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.
Codestral-22B supports an unknown number of tokens and o1-mini supports 128K 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 o1-mini is developed by OpenAI.