Model Comparison

GPT-3.5 Turbo vs Codestral-22B

Codestral-22B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-3.5 Turbo outperforms in 0 benchmarks, while Codestral-22B is better at 1 benchmark (HumanEval).

Codestral-22B significantly outperforms across most benchmarks.

Mon Apr 06 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
Mon Apr 06 2026 • llm-stats.com
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only GPT-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Mon Apr 06 2026 • llm-stats.com

License

Usage and distribution terms

GPT-3.5 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-3.5 Turbo

Proprietary

Closed source

Codestral-22B

MNPL-0.1

Open weights

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while Codestral-22B was released on 2024-05-29.

Codestral-22B is 15 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.0 years ago

Codestral-22B

May 29, 2024

1.9 years ago

1.2yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Codestral-22B's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without Codestral-22B's cutoff date.

GPT-3.5 Turbo

Sep 2021

Codestral-22B

—

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (16,385 tokens)
Mistral AI
Has open weights
Higher HumanEval score (81.1% vs 68.0%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-3.5 Turbo
Mistral AI
Codestral-22B

FAQ

Common questions about GPT-3.5 Turbo vs Codestral-22B

Codestral-22B significantly outperforms across most benchmarks. GPT-3.5 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.
GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%.
GPT-3.5 Turbo supports 16K 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.
Key differences include licensing (Proprietary vs MNPL-0.1). See the full comparison above for benchmark-by-benchmark results.
GPT-3.5 Turbo is developed by OpenAI and Codestral-22B is developed by Mistral AI.