Model Comparison

Gemini 3 Flash vs DiffusionGemma 26B-A4BWhich is better in 2026?

Gemini 3 Flash significantly outperforms across most benchmarks.

Verdict: Gemini 3 Flash vs DiffusionGemma 26B-A4B — which is better?

Gemini 3 Flash (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 Flash outperforms in 5 benchmarks (GPQA, Humanity's Last Exam, MMMLU, MMMU-Pro, t2-bench), while DiffusionGemma 26B-A4B is better at 1 benchmark (OmniDocBench 1.5). Gemini 3 Flash significantly outperforms across most benchmarks.

Choose Gemini 3 Flash if…

  • you want the strongest raw capability — it leads on 5 of 6 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
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemini 3 Flash outperforms in 5 benchmarks (GPQA, Humanity's Last Exam, MMMLU, MMMU-Pro, t2-bench), while DiffusionGemma 26B-A4B is better at 1 benchmark (OmniDocBench 1.5).

Gemini 3 Flash 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 Flash specifies input context (1,000,000 tokens). Only Gemini 3 Flash specifies output context (65,536 tokens).

Google
Gemini 3 Flash
Input1,000,000 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 Flash and DiffusionGemma 26B-A4B support multimodal inputs.

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

Gemini 3 Flash

Text
Images
Audio
Video

DiffusionGemma 26B-A4B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Flash 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 Flash

Proprietary

Closed source

DiffusionGemma 26B-A4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3 Flash was released on 2025-12-17, while DiffusionGemma 26B-A4B was released on 2026-06-10.

DiffusionGemma 26B-A4B is 6 months newer than Gemini 3 Flash.

Gemini 3 Flash

Dec 17, 2025

5 months ago

DiffusionGemma 26B-A4B

Jun 10, 2026

0 days ago

5mo newer

Knowledge Cutoff

When training data ends

Gemini 3 Flash has a knowledge cutoff of 2025-01-31, while DiffusionGemma 26B-A4B has a cutoff of 2025-01-01.

Gemini 3 Flash 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 Flash

Jan 2025

DiffusionGemma 26B-A4B

Jan 2025

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,000,000 tokens)
Higher GPQA score (90.4% vs 73.2%)
Higher Humanity's Last Exam score (43.5% vs 11.9%)
Higher MMMLU score (91.8% vs 81.5%)
Higher MMMU-Pro score (81.2% vs 54.3%)
Higher t2-bench score (90.2% vs 56.2%)
Google
Has open weights
Higher OmniDocBench 1.5 score (31.9% vs 12.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Flash
Google
DiffusionGemma 26B-A4B

FAQ

Common questions about Gemini 3 Flash vs DiffusionGemma 26B-A4B.

Which is better, Gemini 3 Flash or DiffusionGemma 26B-A4B?

Gemini 3 Flash significantly outperforms across most benchmarks. Gemini 3 Flash 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 Flash compare to DiffusionGemma 26B-A4B in benchmarks?

Gemini 3 Flash scores Vending-Bench 2: 100.0%, AIME 2025: 99.7%, Global PIQA: 92.8%, MMMLU: 91.8%, GPQA: 90.4%. 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 Flash and DiffusionGemma 26B-A4B?

Gemini 3 Flash 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 Flash 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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