Model Comparison

Codestral-22B vs o3

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

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

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

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

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

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
OpenAI
o3
Input200,000 tokens
Output100,000 tokens
Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o3 supports multimodal inputs, whereas Codestral-22B does not.

o3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

o3

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while o3 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

o3

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while o3 was released on 2025-04-16.

o3 is 11 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.0 years ago

o3

Apr 16, 2025

1.1 years ago

10mo newer

Knowledge Cutoff

When training data ends

o3 has a documented knowledge cutoff of 2024-05-31, while Codestral-22B's cutoff date is not specified.

We can confirm o3's training data extends to 2024-05-31, but cannot make a direct comparison without Codestral-22B's cutoff date.

Codestral-22B

—

o3

May 2024

Outputs Comparison

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Key Takeaways

Mistral AI
Has open weights
OpenAI
Larger context window (200,000 tokens)
Supports multimodal inputs
Mistral AICodestral-22B
OpenAIo3
Compare in Playground

Detailed Comparison

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

FAQ

Common questions about Codestral-22B vs o3.

Which is better, Codestral-22B or o3?

Codestral-22B (Mistral AI) and o3 (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Codestral-22B compare to o3 in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. o3 scores COLLIE: 98.4%, AIME 2024: 91.6%, ARC-AGI: 88.0%, MathVista: 86.8%, AIME 2025: 86.4%.

What are the context window sizes for Codestral-22B and o3?

Codestral-22B supports an unknown number of tokens and o3 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Codestral-22B and o3?

Key differences include multimodal support (no vs yes), licensing (MNPL-0.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and o3?

Codestral-22B is developed by Mistral AI and o3 is developed by OpenAI.