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Gemini 3.8 Flash Cyber vs Magistral Medium

Gemini 3.8 Flash Cyber leads the LLM Stats Score 41.1 to 13.1.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 41.1 to 13.1, ranking #52 overall.

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

Choose Gemini 3.8 Flash Cyber

  • overall performance matters — it scores 41.1 and ranks #52 on LLM Stats
  • your work emphasizes coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Magistral Medium

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

At a glance

The differences that matter most.

Core performance indexes
41.1
#52
13.1
#246
35.0
#30
3.5
#215
Cost, coverage & limits
Benchmark wins
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 6 for Magistral Medium

No common benchmarks found

Gemini 3.8 Flash Cyber and Magistral Mediumdon'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

Input capabilities

Documented input modalities across available providers

Magistral Medium supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

Magistral Medium can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.8 Flash Cyber

Text
Images
Audio
Video

Magistral Medium

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash Cyber is licensed under a proprietary license, while Magistral Medium uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3.8 Flash Cyber

Proprietary

Closed source

Magistral Medium

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while Magistral Medium was released on 2025-06-10.

Gemini 3.8 Flash Cyber is 15 months newer than Magistral Medium.

Gemini 3.8 Flash Cyber

Sep 2, 2026

1 weeks ago

1.2yr newer
Magistral Medium

Jun 10, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Magistral Medium has a documented knowledge cutoff of 2025-06-01, while Gemini 3.8 Flash Cyber's cutoff date is not specified.

We can confirm Magistral Medium's training data extends to 2025-06-01, but cannot make a direct comparison without Gemini 3.8 Flash Cyber's cutoff date.

Gemini 3.8 Flash Cyber

Magistral Medium

Jun 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash Cyber and Magistral Medium side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
Magistral Medium
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FAQ

Common questions about Gemini 3.8 Flash Cyber vs Magistral Medium.

Which is better, Gemini 3.8 Flash Cyber or Magistral Medium?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 41.1 to 13.1. Gemini 3.8 Flash Cyber is made by Google and Magistral Medium is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.8 Flash Cyber compare to Magistral Medium in benchmarks?

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%. Magistral Medium scores AIME 2024: 73.6%, GPQA: 70.8%, AIME 2025: 64.9%, LiveCodeBench: 50.3%, Aider-Polyglot: 47.1%.

What are the main differences between Gemini 3.8 Flash Cyber and Magistral Medium?

Key differences include LLM Stats Score (41.1 vs 13.1), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and Magistral Medium?

Gemini 3.8 Flash Cyber is developed by Google and Magistral Medium is developed by Mistral AI.