Model Comparison

Codestral-22B vs GPT-4oWhich is better in 2026?

GPT-4o significantly outperforms across most benchmarks.

Verdict: Codestral-22B vs GPT-4o — which is better?

Codestral-22B (by Mistral AI) and GPT-4o (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Codestral-22B outperforms in 0 benchmarks, while GPT-4o is better at 1 benchmark (HumanEval). GPT-4o significantly outperforms across most benchmarks.

Choose Codestral-22B if…

  • you want the most recent training data — it shipped May 2024
  • you need open weights you can self-host or fine-tune

Choose GPT-4o if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Codestral-22B outperforms in 0 benchmarks, while GPT-4o is better at 1 benchmark (HumanEval).

GPT-4o significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (4,096 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
OpenAI
GPT-4o
Input128,000 tokens
Output4,096 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

GPT-4o 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

Text
Images
Audio
Video

License

Usage and distribution terms

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

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while GPT-4o was released on 2024-05-13.

Codestral-22B is 1 month newer than GPT-4o.

Codestral-22B

May 29, 2024

2.0 years ago

2w newer
GPT-4o

May 13, 2024

2.1 years ago

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Has open weights
OpenAI
Larger context window (128,000 tokens)
Supports multimodal inputs
Higher HumanEval score (90.2% vs 81.1%)
Mistral AICodestral-22B
OpenAIGPT-4o
Compare in Playground

Detailed Comparison

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

FAQ

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

Which is better, Codestral-22B or GPT-4o?

GPT-4o significantly outperforms across most benchmarks. Codestral-22B is made by Mistral AI and GPT-4o is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Codestral-22B compare to GPT-4o in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. GPT-4o scores MGSM: 90.5%, HumanEval: 90.2%, MMLU: 88.7%, DROP: 83.4%, MATH: 76.6%.

What are the context window sizes for Codestral-22B and GPT-4o?

Codestral-22B supports an unknown number of tokens and GPT-4o supports 128K 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 GPT-4o?

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 GPT-4o?

Codestral-22B is developed by Mistral AI and GPT-4o is developed by OpenAI.

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