Model Comparison

o3-mini vs Codestral-22B

Comparing o3-mini and Codestral-22B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

o3-mini and Codestral-22B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Apr 10 2026 • llm-stats.com
OpenAI
o3-mini
Input tokens$1.10
Output tokens$4.40
Best providerAzure
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only o3-mini specifies input context (200,000 tokens). Only o3-mini specifies output context (100,000 tokens).

OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Fri Apr 10 2026 • llm-stats.com

License

Usage and distribution terms

o3-mini 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.

o3-mini

Proprietary

Closed source

Codestral-22B

MNPL-0.1

Open weights

Release Timeline

When each model was launched

o3-mini was released on 2025-01-30, while Codestral-22B was released on 2024-05-29.

o3-mini is 8 months newer than Codestral-22B.

o3-mini

Jan 30, 2025

1.2 years ago

8mo newer
Codestral-22B

May 29, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

o3-mini has a documented knowledge cutoff of 2023-09-30, while Codestral-22B's cutoff date is not specified.

We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without Codestral-22B's cutoff date.

o3-mini

Sep 2023

Codestral-22B

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Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (200,000 tokens)
Mistral AI
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o3-mini
Mistral AI
Codestral-22B

FAQ

Common questions about o3-mini vs Codestral-22B

o3-mini (OpenAI) and Codestral-22B (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%. Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%.
o3-mini supports 200K tokens and Codestral-22B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs MNPL-0.1). See the full comparison above for benchmark-by-benchmark results.
o3-mini is developed by OpenAI and Codestral-22B is developed by Mistral AI.