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Codestral-22B vs GPT-4o

GPT-4o leads the LLM Stats Score 14.1 to 0.0.

Mistral AI · OpenAI · Updated for 2026

Which is better?

GPT-4o leads the overall LLM Stats Score 14.1 to 0.0, ranking #244 overall.

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

Choose Codestral-22B

  • you need open weights you can self-host or fine-tune

Choose GPT-4o

  • overall performance matters — it scores 14.1 and ranks #244 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Aug 2024

At a glance

The differences that matter most.

Core performance indexes
0.0
#332
14.1
#244
-0.1
#324
15.9
#225
2.5
#231
-0.6
#251
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$2.50 / M
Output price
— / M
$10.00 / M
Context window
—
128,000

Individual benchmarks

7 reported for Codestral-22B · 38 for GPT-4o

No common benchmarks found

Codestral-22B and GPT-4odon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (16,384 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Sun Sep 27 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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 2024-08-06.

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

Codestral-22B

May 29, 2024

2.3 years ago

GPT-4o

Aug 6, 2024

2.1 years ago

2mo newer

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→

Judge for yourself.

Run your own prompts against Codestral-22B and GPT-4o side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
GPT-4o
Open in Playground

FAQ

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

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

GPT-4o leads the LLM Stats Score 14.1 to 0.0. Codestral-22B is made by Mistral AI and GPT-4o 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-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 AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%.

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 LLM Stats Score (0.0 vs 14.1), 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.