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Gemini 3.8 Flash Cyber vs Ministral 3 (14B Base 2512)

Gemini 3.8 Flash Cyber leads the LLM Stats Score 40.3 to 3.6.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 40.3 to 3.6, ranking #55 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 40.3 and ranks #55 on LLM Stats
  • you want the most recent training data — it shipped Sep 2026

Choose Ministral 3 (14B Base 2512)

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

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
Ministral 3 (14B Base 2512)
Mistral AI
Core performance indexes
LLM Stats Score
40.3
#55
3.6
#308
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 Ministral 3 (14B Base 2512)

No common benchmarks found

Gemini 3.8 Flash Cyber and Ministral 3 (14B Base 2512)don'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

Ministral 3 (14B Base 2512) supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

Ministral 3 (14B Base 2512) 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

Ministral 3 (14B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash Cyber is licensed under a proprietary license, while Ministral 3 (14B Base 2512) 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

Ministral 3 (14B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while Ministral 3 (14B Base 2512) was released on 2025-12-04.

Gemini 3.8 Flash Cyber is 9 months newer than Ministral 3 (14B Base 2512).

Gemini 3.8 Flash Cyber

Sep 2, 2026

1 weeks ago

9mo newer
Ministral 3 (14B Base 2512)

Dec 4, 2025

9 months ago

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 Gemini 3.8 Flash Cyber and Ministral 3 (14B Base 2512) side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
Ministral 3 (14B Base 2512)
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs Ministral 3 (14B Base 2512).

Which is better, Gemini 3.8 Flash Cyber or Ministral 3 (14B Base 2512)?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 40.3 to 3.6. Gemini 3.8 Flash Cyber is made by Google and Ministral 3 (14B Base 2512) 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 Ministral 3 (14B Base 2512) 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%. Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%.

What are the main differences between Gemini 3.8 Flash Cyber and Ministral 3 (14B Base 2512)?

Key differences include LLM Stats Score (40.3 vs 3.6), 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 Ministral 3 (14B Base 2512)?

Gemini 3.8 Flash Cyber is developed by Google and Ministral 3 (14B Base 2512) is developed by Mistral AI.

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