Model Comparison

Gemini 3.1 Pro vs DiffusionGemma 26B-A4BWhich is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Verdict: Gemini 3.1 Pro vs DiffusionGemma 26B-A4B — which is better?

Gemini 3.1 Pro (by Google) and DiffusionGemma 26B-A4B (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.

Gemini 3.1 Pro outperforms in 5 benchmarks (GPQA, Humanity's Last Exam, MMMLU, MMMU-Pro, t2-bench), while DiffusionGemma 26B-A4B is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.

Choose Gemini 3.1 Pro if…

  • you want the strongest raw capability — it leads on 5 of 5 shared benchmarks

Choose DiffusionGemma 26B-A4B if…

  • you want the most recent training data — it shipped Jun 2026
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 3.1 Pro outperforms in 5 benchmarks (GPQA, Humanity's Last Exam, MMMLU, MMMU-Pro, t2-bench), while DiffusionGemma 26B-A4B is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Wed Jun 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 3.1 Pro specifies input context (1,048,576 tokens). Only Gemini 3.1 Pro specifies output context (65,536 tokens).

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Google
DiffusionGemma 26B-A4B
Input- tokens
Output- tokens
Wed Jun 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and DiffusionGemma 26B-A4B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3.1 Pro

Text
Images
Audio
Video

DiffusionGemma 26B-A4B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while DiffusionGemma 26B-A4B uses Apache 2.0.

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

Gemini 3.1 Pro

Proprietary

Closed source

DiffusionGemma 26B-A4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while DiffusionGemma 26B-A4B was released on 2026-06-10.

DiffusionGemma 26B-A4B is 4 months newer than Gemini 3.1 Pro.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

DiffusionGemma 26B-A4B

Jun 10, 2026

0 days ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a knowledge cutoff of 2025-01-31, while DiffusionGemma 26B-A4B has a cutoff of 2025-01-01.

Gemini 3.1 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to DiffusionGemma 26B-A4B (2025-01-01).

Gemini 3.1 Pro

Jan 2025

DiffusionGemma 26B-A4B

Jan 2025

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher GPQA score (94.3% vs 73.2%)
Higher Humanity's Last Exam score (51.4% vs 11.9%)
Higher MMMLU score (92.6% vs 81.5%)
Higher MMMU-Pro score (80.5% vs 54.3%)
Higher t2-bench score (99.3% vs 56.2%)
Google
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Google
DiffusionGemma 26B-A4B

FAQ

Common questions about Gemini 3.1 Pro vs DiffusionGemma 26B-A4B.

Which is better, Gemini 3.1 Pro or DiffusionGemma 26B-A4B?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and DiffusionGemma 26B-A4B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3.1 Pro compare to DiffusionGemma 26B-A4B in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%.

What are the context window sizes for Gemini 3.1 Pro and DiffusionGemma 26B-A4B?

Gemini 3.1 Pro supports 1.0M tokens and DiffusionGemma 26B-A4B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.1 Pro and DiffusionGemma 26B-A4B?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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