Model Comparison

GPT-4 Turbo vs Codestral-22B

GPT-4 Turbo significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

GPT-4 Turbo significantly outperforms across most benchmarks.

Wed Jun 03 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).

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Wed Jun 03 2026 • llm-stats.com

License

Usage and distribution terms

GPT-4 Turbo 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.

GPT-4 Turbo

Proprietary

Closed source

Codestral-22B

MNPL-0.1

Open weights

Release Timeline

When each model was launched

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

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

GPT-4 Turbo

Apr 9, 2024

2.2 years ago

Codestral-22B

May 29, 2024

2.0 years ago

1mo newer

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.

GPT-4 Turbo

Dec 2023

Codestral-22B

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Outputs Comparison

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Key Takeaways

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

Detailed Comparison

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

FAQ

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

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

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

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

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

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

GPT-4 Turbo supports 128K 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.

What are the main differences between GPT-4 Turbo and Codestral-22B?

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

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

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