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Codestral-22B vs GPT-4o

GPT-4o leads the LLM Stats Score 14.6 to 0.5.

Mistral AI · OpenAI · Updated for 2026

Which is better?

GPT-4o leads the overall LLM Stats Score 14.6 to 0.5, ranking #215 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 14.6 and ranks #215 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
0.5
#304
14.6
#215
0.4
#297
16.3
#199
2.6
#209
-0.2
#225
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
Fri Aug 28 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

2.2 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 14.6 to 0.5. 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 (0.5 vs 14.6), 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.