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Codestral-22B vs GPT-3.5 Turbo

Codestral-22B leads the LLM Stats Score 0.2 to -9.2.

Mistral AI · OpenAI · Updated for 2026

Which is better?

Codestral-22B leads the overall LLM Stats Score 0.2 to -9.2, ranking #313 overall.

In the 1 individual benchmarks reported for both models, Codestral-22B wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Codestral-22B

  • overall performance matters — it scores 0.2 and ranks #313 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped May 2024
  • you need open weights you can self-host or fine-tune

Choose GPT-3.5 Turbo

  • you want predictable pricing at $0.50/M input and $1.50/M output

At a glance

The differences that matter most.

Core performance indexes
0.2
#313
-9.2
#351
0.1
#306
-8.5
#343
2.5
#217
-4.4
#248
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.50 / M
Output price
— / M
$1.50 / M
Context window
16,385

Individual benchmarks

7 reported for Codestral-22B · 8 for GPT-3.5 Turbo

1 shared

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

Codestral-22B significantly outperforms across most benchmarks.

Thu Sep 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Thu Sep 03 2026 • llm-stats.com

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while GPT-3.5 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-3.5 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

Codestral-22B

May 29, 2024

2.3 years ago

1.2yr newer
GPT-3.5 Turbo

Mar 21, 2023

3.5 years ago

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.

Codestral-22B

GPT-3.5 Turbo

Sep 2021

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Codestral-22B and GPT-3.5 Turbo side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
GPT-3.5 Turbo
Open in Playground

FAQ

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

Which is better, Codestral-22B or GPT-3.5 Turbo?

Codestral-22B leads the LLM Stats Score 0.2 to -9.2. Codestral-22B is made by Mistral AI and GPT-3.5 Turbo is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Codestral-22B compare to GPT-3.5 Turbo in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%.

What are the context window sizes for Codestral-22B and GPT-3.5 Turbo?

Codestral-22B supports an unknown number of tokens and GPT-3.5 Turbo supports 16K 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-3.5 Turbo?

Key differences include LLM Stats Score (0.2 vs -9.2), licensing (MNPL-0.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and GPT-3.5 Turbo?

Codestral-22B is developed by Mistral AI and GPT-3.5 Turbo is developed by OpenAI.