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Gemma 3n E2B Instructed vs Muse Spark Open

Muse Spark Open leads the LLM Stats Score 44.9 to -10.9.

Google · Meta · Updated for 2026

Which is better?

Muse Spark Open leads the overall LLM Stats Score 44.9 to -10.9, ranking #43 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 Gemma 3n E2B Instructed

  • you are already invested in the Google ecosystem

Choose Muse Spark Open

  • overall performance matters — it scores 44.9 and ranks #43 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.

Core performance indexes
-10.9
#392
44.9
#43
-11.3
#384
45.2
#39
-4.5
#280
33.0
#42
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

1 shared
Index
Gemma 3n E2B Instructed
Muse Spark Open
-8.0#336
31.6#69
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Gemma 3n E2B Instructed · 17 for Muse Spark Open

1 shared

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while Muse Spark Open is better at 1 benchmark (GPQA).

Muse Spark Open significantly outperforms across most benchmarks.

Wed Oct 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

808.0B diff

Muse Spark Open has 808.0B more parameters than Gemma 3n E2B Instructed, making it 10100.0% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
Meta
Muse Spark Open
816.0Bparameters
8.0B
Gemma 3n E2B Instructed
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
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
Meta
Muse Spark Open
Input1,048,576 tokens
Output1,048,576 tokens
Wed Oct 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 3n E2B Instructed and Muse Spark Open support multimodal inputs.

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

Gemma 3n E2B Instructed

Text
Images
Audio
Video

Muse Spark Open

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed 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.

Gemma 3n E2B Instructed

Proprietary

Closed source

Muse Spark Open

Muse Model License

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed was released on 2025-06-26, while Muse Spark Open was released on 2026-10-15.

Muse Spark Open is 16 months newer than Gemma 3n E2B Instructed.

Gemma 3n E2B Instructed

Jun 26, 2025

1.3 years ago

Muse Spark Open

Oct 15, 2026

5 days ago

1.3yr newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while Muse Spark Open's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Muse Spark Open's cutoff date.

Gemma 3n E2B Instructed

Jun 2024

Muse Spark Open

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed and Muse Spark Open side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed
✓ Preferred
Muse Spark Open
Open in Playground

FAQ

Common questions about Gemma 3n E2B Instructed vs Muse Spark Open.

Which is better, Gemma 3n E2B Instructed or Muse Spark Open?

Muse Spark Open leads the LLM Stats Score 44.9 to -10.9. Gemma 3n E2B Instructed 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 Gemma 3n E2B Instructed compare to Muse Spark Open in benchmarks?

Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%. 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 Gemma 3n E2B Instructed and Muse Spark Open?

Gemma 3n E2B Instructed 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 Gemma 3n E2B Instructed and Muse Spark Open?

Key differences include LLM Stats Score (-10.9 vs 44.9), licensing (Proprietary vs Muse Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B Instructed and Muse Spark Open?

Gemma 3n E2B Instructed is developed by Google and Muse Spark Open is developed by Meta.