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Gemini Diffusion vs Gemma 3 27B

Gemma 3 27B leads the LLM Stats Score 7.8 to 0.4.

Google · Google · Updated for 2026

Which is better?

Gemma 3 27B leads the overall LLM Stats Score 7.8 to 0.4, ranking #306 overall.

The models split the 6 individual benchmarks reported for both models evenly.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini Diffusion

  • you want the most recent training data — it shipped May 2025

Choose Gemma 3 27B

  • overall performance matters — it scores 7.8 and ranks #306 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
0.4
#349
7.8
#306
0.4
#341
8.1
#297
2.5
#247
5.2
#222
Cost, coverage & limits
Benchmark wins
3 of 6
3 of 6
Input price
— / M
$0.08 / M
Output price
— / M
$0.16 / M
Context window
—
131,072

Individual benchmarks

10 reported for Gemini Diffusion · 27 for Gemma 3 27B

6 shared

Gemini Diffusion outperforms in 3 benchmarks (HumanEval, LiveCodeBench, MBPP), while Gemma 3 27B is better at 3 benchmarks (BIG-Bench Extra Hard, Global-MMLU-Lite, GPQA).

Both models are evenly matched across the benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemma 3 27B specifies input context (131,072 tokens). Only Gemma 3 27B specifies output context (131,072 tokens).

Google
Gemini Diffusion
Input- tokens
Output- tokens
Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 3 27B supports multimodal inputs, whereas Gemini Diffusion does not.

Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini Diffusion

Text
Images
Audio
Video

Gemma 3 27B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini Diffusion is licensed under a proprietary license, while Gemma 3 27B uses Gemma.

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

Gemini Diffusion

Proprietary

Closed source

Gemma 3 27B

Gemma

Open weights

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while Gemma 3 27B was released on 2025-03-12.

Gemini Diffusion is 2 months newer than Gemma 3 27B.

Gemini Diffusion

May 20, 2025

1.4 years ago

2mo newer
Gemma 3 27B

Mar 12, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini Diffusion and Gemma 3 27B side-by-side, then vote on the output you prefer.

Gemini Diffusion
✓ Preferred
Gemma 3 27B
Open in Playground

FAQ

Common questions about Gemini Diffusion vs Gemma 3 27B.

Which is better, Gemini Diffusion or Gemma 3 27B?

Gemma 3 27B leads the LLM Stats Score 7.8 to 0.4. Gemini Diffusion is made by Google and Gemma 3 27B is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini Diffusion compare to Gemma 3 27B in benchmarks?

Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%.

What are the context window sizes for Gemini Diffusion and Gemma 3 27B?

Gemini Diffusion supports an unknown number of tokens and Gemma 3 27B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini Diffusion and Gemma 3 27B?

Key differences include LLM Stats Score (0.4 vs 7.8), multimodal support (no vs yes), licensing (Proprietary vs Gemma). See the full comparison above for benchmark-by-benchmark results.