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DiffusionGemma 26B-A4B vs Gemini 3.8 Flash

Gemini 3.8 Flash leads the LLM Stats Score 50.6 to 19.4.

Google · Google · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 50.6 to 19.4, ranking #16 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

  • overall performance matters — it scores 50.6 and ranks #16 on LLM Stats
  • your work emphasizes reasoning and 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
Google
Core performance indexes
LLM Stats Score
19.4
#204
50.6
#16
Reasoning
19.1
#201
46.9
#24
Agents
0.5
#170
35.8
#17
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.75 / M
Output price
— / M
$3.75 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DiffusionGemma 26B-A4B
Gemini 3.8 Flash
Vision
10.6#118
34.1#13
Multimodal
14.8#91
35.3#11
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DiffusionGemma 26B-A4B · 13 for Gemini 3.8 Flash

No common benchmarks found

DiffusionGemma 26B-A4B and Gemini 3.8 Flashdon'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

Context Window

Maximum input and output token capacity

Only Gemini 3.8 Flash specifies input context (1,048,576 tokens). Only Gemini 3.8 Flash specifies output context (65,536 tokens).

Google
DiffusionGemma 26B-A4B
Input- tokens
Output- tokens
Google
Gemini 3.8 Flash
Input1,048,576 tokens
Output65,536 tokens
Fri Sep 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DiffusionGemma 26B-A4B and Gemini 3.8 Flash 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 3.8 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DiffusionGemma 26B-A4B is licensed under Apache 2.0, while Gemini 3.8 Flash 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

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

DiffusionGemma 26B-A4B

Jun 10, 2026

3 months ago

Gemini 3.8 Flash

Sep 2, 2026

1 weeks ago

2mo newer

Knowledge Cutoff

When training data ends

DiffusionGemma 26B-A4B has a knowledge cutoff of 2025-01-01, while Gemini 3.8 Flash has a cutoff of 2026-03-31.

Gemini 3.8 Flash 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 3.8 Flash

Mar 2026

1.2 yr newer

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 side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Gemini 3.8 Flash leads the LLM Stats Score 50.6 to 19.4. DiffusionGemma 26B-A4B is made by Google and Gemini 3.8 Flash 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 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 scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 73.7%.

What are the context window sizes for DiffusionGemma 26B-A4B and Gemini 3.8 Flash?

DiffusionGemma 26B-A4B supports an unknown number of tokens and Gemini 3.8 Flash 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 3.8 Flash?

Key differences include LLM Stats Score (19.4 vs 50.6), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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