Model Comparison

Codestral-22B vs GPT-4o mini

GPT-4o 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 GPT-4o mini is better at 1 benchmark (HumanEval).

GPT-4o mini significantly outperforms across most benchmarks.

Fri Apr 10 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
Fri Apr 10 2026 • llm-stats.com
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
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Context Window

Maximum input and output token capacity

Only GPT-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Fri Apr 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o mini supports multimodal inputs, whereas Codestral-22B does not.

GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

GPT-4o mini

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while GPT-4o 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

GPT-4o mini

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while GPT-4o mini was released on 2024-07-18.

GPT-4o mini is 2 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

1.9 years ago

GPT-4o mini

Jul 18, 2024

1.7 years ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Codestral-22B's cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Codestral-22B's cutoff date.

Codestral-22B

—

GPT-4o mini

Oct 2023

Outputs Comparison

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Key Takeaways

Mistral AI
Has open weights
OpenAI
Larger context window (128,000 tokens)
Supports multimodal inputs
Higher HumanEval score (87.2% vs 81.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Codestral-22B
OpenAI
GPT-4o mini

FAQ

Common questions about Codestral-22B vs GPT-4o mini

GPT-4o mini significantly outperforms across most benchmarks. Codestral-22B is made by Mistral AI and GPT-4o 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%. GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%.
Codestral-22B supports an unknown number of tokens and GPT-4o mini supports 128K 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 GPT-4o mini is developed by OpenAI.