Model Comparison

DiffusionGemma 26B-A4B vs Gemma 4 E4BWhich is better in 2026?

DiffusionGemma 26B-A4B significantly outperforms across most benchmarks.

Verdict: DiffusionGemma 26B-A4B vs Gemma 4 E4B — which is better?

DiffusionGemma 26B-A4B (by Google) and Gemma 4 E4B (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.

DiffusionGemma 26B-A4B outperforms in 9 benchmarks (AIME 2026, BIG-Bench Extra Hard, GPQA, LiveCodeBench v6, MathVision, MedXpertQA, MMLU-Pro, MMMLU, MMMU-Pro), while Gemma 4 E4B is better at 1 benchmark (t2-bench). DiffusionGemma 26B-A4B significantly outperforms across most benchmarks.

Choose DiffusionGemma 26B-A4B if…

  • you want the strongest raw capability — it leads on 9 of 10 shared benchmarks
  • you want the most recent training data — it shipped Jun 2026

Choose Gemma 4 E4B if…

  • you are already invested in the Google ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

10 benchmarks

DiffusionGemma 26B-A4B outperforms in 9 benchmarks (AIME 2026, BIG-Bench Extra Hard, GPQA, LiveCodeBench v6, MathVision, MedXpertQA, MMLU-Pro, MMMLU, MMMU-Pro), while Gemma 4 E4B is better at 1 benchmark (t2-bench).

DiffusionGemma 26B-A4B significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

17.2B diff

DiffusionGemma 26B-A4B has 17.2B more parameters than Gemma 4 E4B, making it 215.0% larger.

Google
DiffusionGemma 26B-A4B
25.2Bparameters
Google
Gemma 4 E4B
8.0Bparameters
25.2B
DiffusionGemma 26B-A4B
8.0B
Gemma 4 E4B

Input Capabilities

Supported data types and modalities

Both DiffusionGemma 26B-A4B and Gemma 4 E4B support multimodal inputs.

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

DiffusionGemma 26B-A4B

Text
Images
Audio
Video

Gemma 4 E4B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

DiffusionGemma 26B-A4B

Apache 2.0

Open weights

Gemma 4 E4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DiffusionGemma 26B-A4B was released on 2026-06-10, while Gemma 4 E4B was released on 2026-04-02.

DiffusionGemma 26B-A4B is 2 months newer than Gemma 4 E4B.

DiffusionGemma 26B-A4B

Jun 10, 2026

1 months ago

2mo newer
Gemma 4 E4B

Apr 2, 2026

3 months ago

Knowledge Cutoff

When training data ends

Both models have the same knowledge cutoff date of 2025-01-01.

They should have similar awareness of historical events and information up to this date.

DiffusionGemma 26B-A4B

Jan 2025

Gemma 4 E4B

Jan 2025

Outputs Comparison

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Key Takeaways

Google
Higher AIME 2026 score (69.1% vs 42.5%)
Higher BIG-Bench Extra Hard score (47.6% vs 33.1%)
Higher GPQA score (73.2% vs 58.6%)
Higher LiveCodeBench v6 score (69.1% vs 52.0%)
Higher MathVision score (70.5% vs 59.5%)
Higher MedXpertQA score (49.0% vs 28.7%)
Higher MMLU-Pro score (77.6% vs 69.4%)
Higher MMMLU score (81.5% vs 76.6%)
Higher MMMU-Pro score (54.3% vs 52.6%)
Google
Higher t2-bench score (57.5% vs 56.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DiffusionGemma 26B-A4B and Gemma 4 E4B side-by-side, then vote on the output you prefer.

DiffusionGemma 26B-A4B
✓ Preferred
Gemma 4 E4B
Open in Playground
AI Model Comparison Table
Feature
Google
DiffusionGemma 26B-A4B
Google
Gemma 4 E4B

FAQ

Common questions about DiffusionGemma 26B-A4B vs Gemma 4 E4B.

Which is better, DiffusionGemma 26B-A4B or Gemma 4 E4B?

DiffusionGemma 26B-A4B significantly outperforms across most benchmarks. DiffusionGemma 26B-A4B is made by Google and Gemma 4 E4B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DiffusionGemma 26B-A4B compare to Gemma 4 E4B in benchmarks?

DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%. Gemma 4 E4B scores MMMLU: 76.6%, MMLU-Pro: 69.4%, MathVision: 59.5%, GPQA: 58.6%, t2-bench: 57.5%.

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