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DiffusionGemma 26B-A4B vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 54.4 to 19.4.

Google · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 54.4 to 19.4, ranking #6 overall.

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

Choose DiffusionGemma 26B-A4B

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

Choose Muse Spark 1.3

  • overall performance matters — it scores 54.4 and ranks #6 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DiffusionGemma 26B-A4B
Google
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
19.4
#204
54.4
#6
Reasoning
19.1
#201
51.8
#7
Agents
0.5
#170
40.4
#6
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.20 / M
Context window
—
1,048,576

Individual benchmarks

14 reported for DiffusionGemma 26B-A4B · 11 for Muse Spark 1.3

No common benchmarks found

DiffusionGemma 26B-A4B and Muse Spark 1.3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Muse Spark 1.3 specifies input context (1,048,576 tokens). Only Muse Spark 1.3 specifies output context (943,718 tokens).

Google
DiffusionGemma 26B-A4B
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Fri Sep 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DiffusionGemma 26B-A4B and Muse Spark 1.3 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 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

DiffusionGemma 26B-A4B is licensed under Apache 2.0, while Muse Spark 1.3 uses a proprietary 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 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

DiffusionGemma 26B-A4B was released on 2026-06-10, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 3 months newer than DiffusionGemma 26B-A4B.

DiffusionGemma 26B-A4B

Jun 10, 2026

3 months ago

Muse Spark 1.3

Sep 2, 2026

1 weeks ago

2mo newer

Knowledge Cutoff

When training data ends

DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while Muse Spark 1.3'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 1.3's cutoff date.

DiffusionGemma 26B-A4B

Jan 2025

Muse Spark 1.3

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DiffusionGemma 26B-A4B and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

DiffusionGemma 26B-A4B
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about DiffusionGemma 26B-A4B vs Muse Spark 1.3.

Which is better, DiffusionGemma 26B-A4B or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 54.4 to 19.4. DiffusionGemma 26B-A4B is made by Google and Muse Spark 1.3 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 1.3 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 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%.

What are the context window sizes for DiffusionGemma 26B-A4B and Muse Spark 1.3?

DiffusionGemma 26B-A4B supports an unknown number of tokens and Muse Spark 1.3 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 1.3?

Key differences include LLM Stats Score (19.4 vs 54.4), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DiffusionGemma 26B-A4B and Muse Spark 1.3?

DiffusionGemma 26B-A4B is developed by Google and Muse Spark 1.3 is developed by Meta.

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