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DiffusionGemma 26B-A4B vs Gemini 3.8 Flash Cyber

Gemini 3.8 Flash Cyber leads the LLM Stats Score 41.1 to 19.4.

Google · Google · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 41.1 to 19.4, ranking #52 overall.

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

Choose DiffusionGemma 26B-A4B

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

Choose Gemini 3.8 Flash Cyber

  • overall performance matters — it scores 41.1 and ranks #52 on LLM Stats
  • your work emphasizes agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DiffusionGemma 26B-A4B
Google
Gemini 3.8 Flash Cyber
Google
Core performance indexes
LLM Stats Score
19.4
#204
41.1
#52
Agents
0.5
#170
31.1
#31
Cost, coverage & limits
Benchmark wins
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Input price
— / M
— / M
Output price
— / M
— / M
Context window
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Individual benchmarks

14 reported for DiffusionGemma 26B-A4B · 4 for Gemini 3.8 Flash Cyber

No common benchmarks found

DiffusionGemma 26B-A4B and Gemini 3.8 Flash Cyberdon'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

DiffusionGemma 26B-A4B supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

DiffusionGemma 26B-A4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

DiffusionGemma 26B-A4B

Text
Images
Audio
Video

Gemini 3.8 Flash Cyber

Text
Images
Audio
Video

License

Usage and distribution terms

DiffusionGemma 26B-A4B is licensed under Apache 2.0, while Gemini 3.8 Flash Cyber uses a proprietary license.

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

DiffusionGemma 26B-A4B

Apache 2.0

Open weights

Gemini 3.8 Flash Cyber

Proprietary

Closed source

Release Timeline

When each model was launched

DiffusionGemma 26B-A4B was released on 2026-06-10, while Gemini 3.8 Flash Cyber was released on 2026-09-02.

Gemini 3.8 Flash Cyber is 3 months newer than DiffusionGemma 26B-A4B.

DiffusionGemma 26B-A4B

Jun 10, 2026

3 months ago

Gemini 3.8 Flash Cyber

Sep 2, 2026

1 weeks ago

2mo newer

Knowledge Cutoff

When training data ends

DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while Gemini 3.8 Flash Cyber's cutoff date is not specified.

We can confirm DiffusionGemma 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without Gemini 3.8 Flash Cyber's cutoff date.

DiffusionGemma 26B-A4B

Jan 2025

Gemini 3.8 Flash Cyber

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Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DiffusionGemma 26B-A4B and Gemini 3.8 Flash Cyber side-by-side, then vote on the output you prefer.

DiffusionGemma 26B-A4B
✓ Preferred
Gemini 3.8 Flash Cyber
Open in Playground

FAQ

Common questions about DiffusionGemma 26B-A4B vs Gemini 3.8 Flash Cyber.

Which is better, DiffusionGemma 26B-A4B or Gemini 3.8 Flash Cyber?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 41.1 to 19.4. DiffusionGemma 26B-A4B is made by Google and Gemini 3.8 Flash Cyber is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DiffusionGemma 26B-A4B compare to Gemini 3.8 Flash Cyber in benchmarks?

DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%. 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%.

What are the main differences between DiffusionGemma 26B-A4B and Gemini 3.8 Flash Cyber?

Key differences include LLM Stats Score (19.4 vs 41.1), multimodal support (yes vs no), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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