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Gemini 3.8 Flash Cyber vs Mistral Large 4

Gemini 3.8 Flash Cyber and Mistral Large 4 are closely matched at 39.4 and 46.2 on the LLM Stats Score.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber and Mistral Large 4 are closely matched on the overall LLM Stats Score at 39.4 and 46.2.

In the 1 individual benchmarks reported for both models, Gemini 3.8 Flash Cyber wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose Gemini 3.8 Flash Cyber

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

Choose Mistral Large 4

  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
39.4
#69
46.2
#34
Coding
32.1
#49
35.4
#27
Agents
28.4
#51
34.0
#26
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.68 / M
Output price
— / M
$2.09 / M
Context window
—
1,000,000

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 18 for Mistral Large 4

1 shared

Gemini 3.8 Flash Cyber outperforms in 1 benchmarks (CyberGym), while Mistral Large 4 is better at 0 benchmarks.

Gemini 3.8 Flash Cyber significantly outperforms across most benchmarks.

Mon Oct 19 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

Mistral Large 4 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

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3.8 Flash Cyber

Proprietary

Closed source

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 1 month newer than Gemini 3.8 Flash Cyber.

Gemini 3.8 Flash Cyber

Sep 2, 2026

1 months ago

Mistral Large 4

Oct 6, 2026

1 weeks ago

1mo 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?

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash Cyber and Mistral Large 4 side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs Mistral Large 4.

Which is better, Gemini 3.8 Flash Cyber or Mistral Large 4?

Gemini 3.8 Flash Cyber and Mistral Large 4 are closely matched on the LLM Stats Score at 39.4 and 46.2. Gemini 3.8 Flash Cyber is made by Google and Mistral Large 4 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 Mistral Large 4 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%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

What are the context window sizes for Gemini 3.8 Flash Cyber and Mistral Large 4?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and Mistral Large 4 supports 1.0M 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 Mistral Large 4?

Key differences include LLM Stats Score (39.4 vs 46.2), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and Mistral Large 4?

Gemini 3.8 Flash Cyber is developed by Google and Mistral Large 4 is developed by Mistral AI.

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