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Codestral-22B vs Gemini 3.8 Flash Cyber

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.5 to 0.2.

Mistral AI · Google · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 42.5 to 0.2, ranking #45 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 Gemini 3.8 Flash Cyber

  • overall performance matters — it scores 42.5 and ranks #45 on LLM Stats
  • your work emphasizes coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Codestral-22B
Mistral AI
Gemini 3.8 Flash Cyber
Google
Core performance indexes
LLM Stats Score
0.2
#313
42.5
#45
Coding
2.5
#217
35.6
#24
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

7 reported for Codestral-22B · 4 for Gemini 3.8 Flash Cyber

No common benchmarks found

Codestral-22B and Gemini 3.8 Flash 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

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Gemini 3.8 Flash 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

Gemini 3.8 Flash Cyber

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Gemini 3.8 Flash Cyber was released on 2026-09-02.

Gemini 3.8 Flash Cyber is 28 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.3 years ago

Gemini 3.8 Flash Cyber

Sep 2, 2026

0 days ago

2.3yr 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 Gemini 3.8 Flash Cyber side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
Gemini 3.8 Flash Cyber
Open in Playground

FAQ

Common questions about Codestral-22B vs Gemini 3.8 Flash Cyber.

Which is better, Codestral-22B or Gemini 3.8 Flash Cyber?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.5 to 0.2. Codestral-22B is made by Mistral AI and Gemini 3.8 Flash Cyber is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Codestral-22B compare to Gemini 3.8 Flash Cyber in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Gemini 3.8 Flash Cyber scores Gray Swan IPI Benchmark: 94.0%, CyberGym: 86.2%, Google Real-world Vulnerability Discovery: 71.0%, CWE-Bench: 47.2%.

What are the main differences between Codestral-22B and Gemini 3.8 Flash Cyber?

Key differences include LLM Stats Score (0.2 vs 42.5), licensing (MNPL-0.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Gemini 3.8 Flash Cyber?

Codestral-22B is developed by Mistral AI and Gemini 3.8 Flash Cyber is developed by Google.

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