Model Comparison

DiffusionGemma 26B-A4B vs Gemini 3.5 Flash-LiteWhich is better in 2026?

Comparing DiffusionGemma 26B-A4B and Gemini 3.5 Flash-Lite across benchmarks, pricing, and capabilities.

Verdict: DiffusionGemma 26B-A4B vs Gemini 3.5 Flash-Lite — which is better?

DiffusionGemma 26B-A4B (by Google) and Gemini 3.5 Flash-Lite (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 DiffusionGemma 26B-A4B if…

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

Choose Gemini 3.5 Flash-Lite if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DiffusionGemma 26B-A4B and Gemini 3.5 Flash-Litedon'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 Gemini 3.5 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 3.5 Flash-Lite specifies output context (65,536 tokens).

Google
DiffusionGemma 26B-A4B
Input- tokens
Output- tokens
Google
Gemini 3.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DiffusionGemma 26B-A4B and Gemini 3.5 Flash-Lite support multimodal inputs.

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

DiffusionGemma 26B-A4B

Text
Images
Audio
Video

Gemini 3.5 Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

DiffusionGemma 26B-A4B is licensed under Apache 2.0, while Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite

Proprietary

Closed source

Release Timeline

When each model was launched

DiffusionGemma 26B-A4B was released on 2026-06-10, while Gemini 3.5 Flash-Lite was released on 2026-07-21.

Gemini 3.5 Flash-Lite is 1 month newer than DiffusionGemma 26B-A4B.

DiffusionGemma 26B-A4B

Jun 10, 2026

1 months ago

Gemini 3.5 Flash-Lite

Jul 21, 2026

4 days ago

1mo newer

Knowledge Cutoff

When training data ends

DiffusionGemma 26B-A4B has a knowledge cutoff of 2025-01-01, while Gemini 3.5 Flash-Lite has a cutoff of 2026-03-31.

Gemini 3.5 Flash-Lite has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to DiffusionGemma 26B-A4B (2025-01-01).

DiffusionGemma 26B-A4B

Jan 2025

Gemini 3.5 Flash-Lite

Mar 2026

1.2 yr newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Has open weights
Google
Larger context window (1,048,576 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DiffusionGemma 26B-A4B and Gemini 3.5 Flash-Lite side-by-side, then vote on the output you prefer.

DiffusionGemma 26B-A4B
✓ Preferred
Gemini 3.5 Flash-Lite
Open in Playground
AI Model Comparison Table
Feature
Google
DiffusionGemma 26B-A4B
Google
Gemini 3.5 Flash-Lite

FAQ

Common questions about DiffusionGemma 26B-A4B vs Gemini 3.5 Flash-Lite.

Which is better, DiffusionGemma 26B-A4B or Gemini 3.5 Flash-Lite?

DiffusionGemma 26B-A4B (Google) and Gemini 3.5 Flash-Lite (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 DiffusionGemma 26B-A4B compare to Gemini 3.5 Flash-Lite in benchmarks?

DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%. Gemini 3.5 Flash-Lite scores CharXiv-R: 76.5%, OSWorld-Verified: 74.0%, SWE-Bench Pro: 54.2%, Terminal-Bench 2.1: 54.0%, MLE-Bench: 39.2%.

What are the context window sizes for DiffusionGemma 26B-A4B and Gemini 3.5 Flash-Lite?

DiffusionGemma 26B-A4B supports an unknown number of tokens and Gemini 3.5 Flash-Lite 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 DiffusionGemma 26B-A4B and Gemini 3.5 Flash-Lite?

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

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