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Gemini Diffusion vs Muse Spark Open

Muse Spark Open leads the LLM Stats Score 45.3 to 0.4.

Google · Meta · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 45.3 to 0.4, ranking #42 overall.

In the 1 individual benchmarks reported for both models, Muse Spark Open wins 1; 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 are already invested in the Google ecosystem

Choose Muse Spark Open

  • overall performance matters — it scores 45.3 and ranks #42 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini Diffusion
Google
Muse Spark Open
Meta
Core performance indexes
LLM Stats Score
0.4
#349
45.3
#42
Reasoning
0.4
#341
45.7
#35
Coding
2.5
#247
33.5
#40
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$1.25 / M
Output price
— / M
$4.25 / M
Context window
—
1,048,576

Individual benchmarks

10 reported for Gemini Diffusion · 17 for Muse Spark Open

1 shared

Gemini Diffusion outperforms in 0 benchmarks, while Muse Spark Open is better at 1 benchmark (GPQA).

Muse Spark Open significantly outperforms across most 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 Muse Spark Open specifies input context (1,048,576 tokens). Only Muse Spark Open specifies output context (1,048,576 tokens).

Google
Gemini Diffusion
Input- tokens
Output- tokens
Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark Open supports multimodal inputs, whereas Gemini Diffusion does not.

Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini Diffusion

Text
Images
Audio
Video

Muse Spark Open

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini Diffusion is licensed under a proprietary license, while Muse Spark Open uses Muse Model License.

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

Gemini Diffusion

Proprietary

Closed source

Muse Spark Open

Muse Model License

Open weights

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while Muse Spark Open was released on 2026-10-15.

Muse Spark Open is 17 months newer than Gemini Diffusion.

Gemini Diffusion

May 20, 2025

1.4 years ago

Muse Spark Open

Oct 15, 2026

4 days ago

1.4yr newer

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

Gemini Diffusion
✓ Preferred
Muse Spark Open
Open in Playground

FAQ

Common questions about Gemini Diffusion vs Muse Spark Open.

Which is better, Gemini Diffusion or Muse Spark Open?

Muse Spark Open leads the LLM Stats Score 45.3 to 0.4. Gemini Diffusion is made by Google and Muse Spark Open 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 Muse Spark Open in benchmarks?

Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. Muse Spark Open scores MCP Atlas: 89.2%, GPQA: 89.0%, OSWorld-Verified: 80.4%, BabyVision: 80.2%, Terminal-Bench 2.1: 76.4%.

What are the context window sizes for Gemini Diffusion and Muse Spark Open?

Gemini Diffusion supports an unknown number of tokens and Muse Spark Open 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 Gemini Diffusion and Muse Spark Open?

Key differences include LLM Stats Score (0.4 vs 45.3), multimodal support (no vs yes), licensing (Proprietary vs Muse Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini Diffusion and Muse Spark Open?

Gemini Diffusion is developed by Google and Muse Spark Open is developed by Meta.

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