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Codestral-22B vs GPT-6 Cyber

GPT-6 Cyber leads the LLM Stats Score 41.0 to -0.5.

Mistral AI · OpenAI · Updated for 2026

Which is better?

GPT-6 Cyber leads the overall LLM Stats Score 41.0 to -0.5, ranking #77 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-6 Cyber

  • overall performance matters — it scores 41.0 and ranks #77 on LLM Stats
  • your work emphasizes coding — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Core performance indexes
-0.5
#369
41.0
#77
2.3
#263
33.5
#49
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$20.00 / M
Output price
— / M
$100.00 / M
Context window
—
1,050,000

Individual benchmarks

7 reported for Codestral-22B · 1 for GPT-6 Cyber

No common benchmarks found

Codestral-22B and GPT-6 Cyberdon'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-6 Cyber specifies input context (1,050,000 tokens). Only GPT-6 Cyber specifies output context (128,000 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
OpenAI
GPT-6 Cyber
Input1,050,000 tokens
Output128,000 tokens
Mon Nov 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Cyber supports multimodal inputs, whereas Codestral-22B does not.

GPT-6 Cyber can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

GPT-6 Cyber

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while GPT-6 Cyber 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-6 Cyber

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while GPT-6 Cyber was released on 2026-11-05.

GPT-6 Cyber is 30 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.4 years ago

GPT-6 Cyber

Nov 5, 2026

4 days ago

2.4yr 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?

Judge for yourself.

Run your own prompts against Codestral-22B and GPT-6 Cyber side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
GPT-6 Cyber
Open in Playground

FAQ

Common questions about Codestral-22B vs GPT-6 Cyber.

Which is better, Codestral-22B or GPT-6 Cyber?

GPT-6 Cyber leads the LLM Stats Score 41.0 to -0.5. Codestral-22B is made by Mistral AI and GPT-6 Cyber 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-6 Cyber in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. GPT-6 Cyber scores ExploitGym: 48.5%.

What are the context window sizes for Codestral-22B and GPT-6 Cyber?

Codestral-22B supports an unknown number of tokens and GPT-6 Cyber supports 1.1M 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-6 Cyber?

Key differences include LLM Stats Score (-0.5 vs 41.0), 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-6 Cyber?

Codestral-22B is developed by Mistral AI and GPT-6 Cyber is developed by OpenAI.