Model Comparison

Codestral-22B vs GPT-4 Turbo

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

GPT-4 Turbo significantly outperforms across most benchmarks.

Tue May 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

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

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Tue May 19 2026 • llm-stats.com

License

Usage and distribution terms

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

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while GPT-4 Turbo was released on 2024-04-09.

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

Codestral-22B

May 29, 2024

2.0 years ago

1mo newer
GPT-4 Turbo

Apr 9, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Codestral-22B's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Codestral-22B's cutoff date.

Codestral-22B

—

GPT-4 Turbo

Dec 2023

Outputs Comparison

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Key Takeaways

Mistral AI
Has open weights
OpenAI
Larger context window (128,000 tokens)
Higher HumanEval score (87.1% vs 81.1%)

Detailed Comparison

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

FAQ

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

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

GPT-4 Turbo significantly outperforms across most benchmarks. Codestral-22B is made by Mistral AI and GPT-4 Turbo 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-4 Turbo in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%.

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

Codestral-22B supports an unknown number of tokens and GPT-4 Turbo 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-4 Turbo?

Key differences include licensing (MNPL-0.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and GPT-4 Turbo?

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