Model Comparison

Gemini 3.5 Flash Cyber vs Gemma 4 31BWhich is better in 2026?

Comparing Gemini 3.5 Flash Cyber and Gemma 4 31B across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.5 Flash Cyber vs Gemma 4 31B — which is better?

Gemini 3.5 Flash Cyber (by Google) and Gemma 4 31B (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Gemini 3.5 Flash Cyber if…

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

Choose Gemma 4 31B if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.5 Flash Cyber and Gemma 4 31Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemma 4 31B specifies input context (262,144 tokens). Only Gemma 4 31B specifies output context (131,072 tokens).

Google
Gemini 3.5 Flash Cyber
Input- tokens
Output- tokens
Google
Gemma 4 31B
Input262,144 tokens
Output131,072 tokens
Wed Jul 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 4 31B supports multimodal inputs, whereas Gemini 3.5 Flash Cyber does not.

Gemma 4 31B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.5 Flash Cyber

Text
Images
Audio
Video

Gemma 4 31B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.5 Flash Cyber is licensed under a proprietary license, while Gemma 4 31B uses Apache 2.0.

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

Gemini 3.5 Flash Cyber

Proprietary

Closed source

Gemma 4 31B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.5 Flash Cyber was released on 2026-07-21, while Gemma 4 31B was released on 2026-04-02.

Gemini 3.5 Flash Cyber is 4 months newer than Gemma 4 31B.

Gemini 3.5 Flash Cyber

Jul 21, 2026

0 days ago

3mo newer
Gemma 4 31B

Apr 2, 2026

3 months ago

Knowledge Cutoff

When training data ends

Gemma 4 31B has a documented knowledge cutoff of 2025-01-01, while Gemini 3.5 Flash Cyber's cutoff date is not specified.

We can confirm Gemma 4 31B's training data extends to 2025-01-01, but cannot make a direct comparison without Gemini 3.5 Flash Cyber's cutoff date.

Gemini 3.5 Flash Cyber

—

Gemma 4 31B

Jan 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google

No standout differentiators in the data we have for this pair.

Google
Larger context window (262,144 tokens)
Supports multimodal inputs
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash Cyber and Gemma 4 31B side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash Cyber
✓ Preferred
Gemma 4 31B
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.5 Flash Cyber
Google
Gemma 4 31B

FAQ

Common questions about Gemini 3.5 Flash Cyber vs Gemma 4 31B.

Which is better, Gemini 3.5 Flash Cyber or Gemma 4 31B?

Gemini 3.5 Flash Cyber (Google) and Gemma 4 31B (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.5 Flash Cyber compare to Gemma 4 31B in benchmarks?

Gemini 3.5 Flash Cyber scores CyberGym: 83.2%. Gemma 4 31B scores AIME 2026: 89.2%, MMMLU: 88.4%, t2-bench: 86.4%, MathVision: 85.6%, MMLU-Pro: 85.2%.

What are the context window sizes for Gemini 3.5 Flash Cyber and Gemma 4 31B?

Gemini 3.5 Flash Cyber supports an unknown number of tokens and Gemma 4 31B supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.5 Flash Cyber and Gemma 4 31B?

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

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