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Gemini 3.8 Flash Cyber vs Pixtral Large

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.5 to 11.9.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 42.5 to 11.9, ranking #45 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 42.5 and ranks #45 on LLM Stats
  • you want the most recent training data — it shipped Sep 2026

Choose Pixtral Large

  • 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 Large
Mistral AI
Core performance indexes
LLM Stats Score
42.5
#45
11.9
#244
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
—
128,000

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 7 for Pixtral Large

No common benchmarks found

Gemini 3.8 Flash Cyber and Pixtral Largedon'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 Large specifies input context (128,000 tokens). Only Pixtral Large specifies output context (128,000 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Pixtral Large supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

Pixtral Large 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 Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash Cyber is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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 Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while Pixtral Large was released on 2024-11-18.

Gemini 3.8 Flash Cyber is 22 months newer than Pixtral Large.

Gemini 3.8 Flash Cyber

Sep 2, 2026

0 days ago

1.8yr newer
Pixtral Large

Nov 18, 2024

1.8 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 Large side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
Pixtral Large
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs Pixtral Large.

Which is better, Gemini 3.8 Flash Cyber or Pixtral Large?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.5 to 11.9. Gemini 3.8 Flash Cyber is made by Google and Pixtral Large 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 Large 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 Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

What are the context window sizes for Gemini 3.8 Flash Cyber and Pixtral Large?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and Pixtral Large 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 Large?

Key differences include LLM Stats Score (42.5 vs 11.9), multimodal support (no vs yes), licensing (Proprietary vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and Pixtral Large?

Gemini 3.8 Flash Cyber is developed by Google and Pixtral Large is developed by Mistral AI.

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