The AI arena is free today

Open Superagent

DiffusionGemma 26B-A4B vs Muse Spark Open

Muse Spark Open leads the LLM Stats Score 45.3 to 19.0.

Google · Meta · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 45.3 to 19.0, 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 DiffusionGemma 26B-A4B

  • 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 agents — 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

At a glance

The differences that matter most.

DiffusionGemma 26B-A4B
Google
Muse Spark Open
Meta
Core performance indexes
LLM Stats Score
19.0
#230
45.3
#42
Reasoning
18.7
#228
45.7
#35
Agents
0.4
#197
30.8
#43
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

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DiffusionGemma 26B-A4B
Muse Spark Open
Math
17.5#203
33.3#58
Vision
10.4#137
31.3#33
Multimodal
14.6#110
33.1#20
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DiffusionGemma 26B-A4B · 17 for Muse Spark Open

1 shared

DiffusionGemma 26B-A4B outperforms in 0 benchmarks, while Muse Spark Open is better at 1 benchmark (GPQA).

Muse Spark Open significantly outperforms across most benchmarks.

Mon Oct 26 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

790.8B diff

Muse Spark Open has 790.8B more parameters than DiffusionGemma 26B-A4B, making it 3138.1% larger.

Google
DiffusionGemma 26B-A4B
25.2Bparameters
Meta
Muse Spark Open
816.0Bparameters
25.2B
DiffusionGemma 26B-A4B
816.0B
Muse Spark Open

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
DiffusionGemma 26B-A4B
Input- tokens
Output- tokens
Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Mon Oct 26 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DiffusionGemma 26B-A4B and Muse Spark Open support multimodal inputs.

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

DiffusionGemma 26B-A4B

Text
Images
Audio
Video

Muse Spark Open

Text
Images
Audio
Video

License

Usage and distribution terms

DiffusionGemma 26B-A4B is licensed under Apache 2.0, while Muse Spark Open uses Muse Model License.

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

DiffusionGemma 26B-A4B

Apache 2.0

Open weights

Muse Spark Open

Muse Model License

Open weights

Release Timeline

When each model was launched

DiffusionGemma 26B-A4B was released on 2026-06-10, while Muse Spark Open was released on 2026-10-15.

Muse Spark Open is 4 months newer than DiffusionGemma 26B-A4B.

DiffusionGemma 26B-A4B

Jun 10, 2026

4 months ago

Muse Spark Open

Oct 15, 2026

1 weeks ago

4mo newer

Knowledge Cutoff

When training data ends

DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while Muse Spark Open's cutoff date is not specified.

We can confirm DiffusionGemma 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without Muse Spark Open's cutoff date.

DiffusionGemma 26B-A4B

Jan 2025

Muse Spark Open

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DiffusionGemma 26B-A4B and Muse Spark Open side-by-side, then vote on the output you prefer.

DiffusionGemma 26B-A4B
✓ Preferred
Muse Spark Open
Open in Playground

FAQ

Common questions about DiffusionGemma 26B-A4B vs Muse Spark Open.

Which is better, DiffusionGemma 26B-A4B or Muse Spark Open?

Muse Spark Open leads the LLM Stats Score 45.3 to 19.0. DiffusionGemma 26B-A4B 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 DiffusionGemma 26B-A4B compare to Muse Spark Open in benchmarks?

DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%. 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 DiffusionGemma 26B-A4B and Muse Spark Open?

DiffusionGemma 26B-A4B 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 DiffusionGemma 26B-A4B and Muse Spark Open?

Key differences include LLM Stats Score (19.0 vs 45.3), licensing (Apache 2.0 vs Muse Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes DiffusionGemma 26B-A4B and Muse Spark Open?

DiffusionGemma 26B-A4B is developed by Google and Muse Spark Open is developed by Meta.

Related comparisons