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Gemini 3.8 Flash Cyber vs Pixtral-12B

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.7 to -1.4.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 42.7 to -1.4, ranking #44 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 42.7 and ranks #44 on LLM Stats
  • your work emphasizes coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Pixtral-12B

  • 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
Pixtral-12B
Mistral AI
Core performance indexes
LLM Stats Score
42.7
#44
-1.4
#322
Coding
36.1
#25
-2.5
#239
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.15 / M
Output price
— / M
$0.15 / M
Context window
—
128,000

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 12 for Pixtral-12B

No common benchmarks found

Gemini 3.8 Flash Cyber and Pixtral-12Bdon'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 Pixtral-12B specifies input context (128,000 tokens). Only Pixtral-12B specifies output context (8,192 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Wed Sep 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Pixtral-12B supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

Pixtral-12B 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

Pixtral-12B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash Cyber is licensed under a proprietary license, while Pixtral-12B 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

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while Pixtral-12B was released on 2024-09-17.

Gemini 3.8 Flash Cyber is 24 months newer than Pixtral-12B.

Gemini 3.8 Flash Cyber

Sep 2, 2026

0 days ago

2.0yr newer
Pixtral-12B

Sep 17, 2024

2.0 years 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 Pixtral-12B side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
Pixtral-12B
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs Pixtral-12B.

Which is better, Gemini 3.8 Flash Cyber or Pixtral-12B?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.7 to -1.4. Gemini 3.8 Flash Cyber is made by Google and Pixtral-12B 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 Pixtral-12B 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%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.

What are the context window sizes for Gemini 3.8 Flash Cyber and Pixtral-12B?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and Pixtral-12B 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 Gemini 3.8 Flash Cyber and Pixtral-12B?

Key differences include LLM Stats Score (42.7 vs -1.4), 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 Pixtral-12B?

Gemini 3.8 Flash Cyber is developed by Google and Pixtral-12B is developed by Mistral AI.

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