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Gemini Diffusion vs Gemma 3 12B

Gemini Diffusion and Gemma 3 12B are closely matched at 0.9 and 5.6 on the LLM Stats Score.

Google · Google · Updated for 2026

Which is better?

Gemini Diffusion and Gemma 3 12B are closely matched on the overall LLM Stats Score at 0.9 and 5.6.

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 12B

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

At a glance

The differences that matter most.

Core performance indexes
0.9
#322
5.6
#294
0.9
#314
5.9
#288
2.8
#220
2.8
#221
Cost, coverage & limits
Benchmark wins
3 of 6
3 of 6
Input price
— / M
$0.05 / M
Output price
— / M
$0.15 / M
Context window
131,072

Individual benchmarks

10 reported for Gemini Diffusion · 26 for Gemma 3 12B

6 shared

Gemini Diffusion outperforms in 3 benchmarks (HumanEval, LiveCodeBench, MBPP), while Gemma 3 12B is better at 3 benchmarks (BIG-Bench Extra Hard, Global-MMLU-Lite, GPQA).

Both models are evenly matched across the benchmarks.

Sun Sep 13 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 12B specifies input context (131,072 tokens). Only Gemma 3 12B specifies output context (131,072 tokens).

Google
Gemini Diffusion
Input- tokens
Output- tokens
Google
Gemma 3 12B
Input131,072 tokens
Output131,072 tokens
Sun Sep 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 3 12B supports multimodal inputs, whereas Gemini Diffusion does not.

Gemma 3 12B 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 12B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini Diffusion is licensed under a proprietary license, while Gemma 3 12B 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 12B

Gemma

Open weights

Release Timeline

When each model was launched

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

Gemini Diffusion is 2 months newer than Gemma 3 12B.

Gemini Diffusion

May 20, 2025

1.3 years ago

2mo newer
Gemma 3 12B

Mar 12, 2025

1.5 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?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini Diffusion and Gemma 3 12B side-by-side, then vote on the output you prefer.

Gemini Diffusion
✓ Preferred
Gemma 3 12B
Open in Playground

FAQ

Common questions about Gemini Diffusion vs Gemma 3 12B.

Which is better, Gemini Diffusion or Gemma 3 12B?

Gemini Diffusion and Gemma 3 12B are closely matched on the LLM Stats Score at 0.9 and 5.6. Gemini Diffusion is made by Google and Gemma 3 12B 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 12B 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 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%.

What are the context window sizes for Gemini Diffusion and Gemma 3 12B?

Gemini Diffusion supports an unknown number of tokens and Gemma 3 12B 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 12B?

Key differences include LLM Stats Score (0.9 vs 5.6), multimodal support (no vs yes), licensing (Proprietary vs Gemma). See the full comparison above for benchmark-by-benchmark results.