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Gemini Diffusion vs Llama 4 Scout

Llama 4 Scout leads the LLM Stats Score 8.0 to 1.0.

Google · Meta · Updated for 2026

Which is better?

Llama 4 Scout leads the overall LLM Stats Score 8.0 to 1.0, ranking #272 overall.

In the 3 individual benchmarks reported for both models, Llama 4 Scout wins 2; this is a narrower head-to-head signal than the composite indexes.

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 Llama 4 Scout

  • overall performance matters — it scores 8.0 and ranks #272 on LLM Stats
  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini Diffusion
Google
Llama 4 Scout
Meta
Core performance indexes
LLM Stats Score
1.0
#311
8.0
#272
Reasoning
1.0
#301
6.7
#274
Coding
3.0
#213
0.5
#231
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
— / M
$0.08 / M
Output price
— / M
$0.30 / M
Context window
—
10,000,000

Individual benchmarks

10 reported for Gemini Diffusion · 12 for Llama 4 Scout

3 shared

Gemini Diffusion outperforms in 1 benchmarks (MBPP), while Llama 4 Scout is better at 2 benchmarks (GPQA, LiveCodeBench).

Llama 4 Scout shows notably better performance in the majority of benchmarks.

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).

Google
Gemini Diffusion
Input- tokens
Output- tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Llama 4 Scout supports multimodal inputs, whereas Gemini Diffusion does not.

Llama 4 Scout can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini Diffusion

Text
Images
Audio
Video

Llama 4 Scout

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini Diffusion is licensed under a proprietary license, while Llama 4 Scout uses Llama 4 Community License Agreement.

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

Gemini Diffusion

Proprietary

Closed source

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while Llama 4 Scout was released on 2025-04-05.

Gemini Diffusion is 2 months newer than Llama 4 Scout.

Gemini Diffusion

May 20, 2025

1.3 years ago

1mo newer
Llama 4 Scout

Apr 5, 2025

1.4 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 Llama 4 Scout side-by-side, then vote on the output you prefer.

Gemini Diffusion
✓ Preferred
Llama 4 Scout
Open in Playground

FAQ

Common questions about Gemini Diffusion vs Llama 4 Scout.

Which is better, Gemini Diffusion or Llama 4 Scout?

Llama 4 Scout leads the LLM Stats Score 8.0 to 1.0. Gemini Diffusion is made by Google and Llama 4 Scout is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini Diffusion compare to Llama 4 Scout in benchmarks?

Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.

What are the context window sizes for Gemini Diffusion and Llama 4 Scout?

Gemini Diffusion supports an unknown number of tokens and Llama 4 Scout supports 10.0M 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 Llama 4 Scout?

Key differences include LLM Stats Score (1.0 vs 8.0), multimodal support (no vs yes), licensing (Proprietary vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini Diffusion and Llama 4 Scout?

Gemini Diffusion is developed by Google and Llama 4 Scout is developed by Meta.

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