Model Comparison

Gemma 2 27B vs Muse Spark 1.1Which is better in 2026?

Comparing Gemma 2 27B and Muse Spark 1.1 across benchmarks, pricing, and capabilities.

Verdict: Gemma 2 27B vs Muse Spark 1.1 — which is better?

Gemma 2 27B (by Google) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Gemma 2 27B if…

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

Choose Muse Spark 1.1 if…

  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 2 27B and Muse Spark 1.1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Muse Spark 1.1 specifies input context (1,048,576 tokens). Only Muse Spark 1.1 specifies output context (131,072 tokens).

Google
Gemma 2 27B
Input- tokens
Output- tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Muse Spark 1.1 supports multimodal inputs, whereas Gemma 2 27B does not.

Muse Spark 1.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 27B

Text
Images
Audio
Video

Muse Spark 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 27B is licensed under Gemma, while Muse Spark 1.1 uses a proprietary license.

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

Gemma 2 27B

Gemma

Open weights

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 2 27B was released on 2024-06-27, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 25 months newer than Gemma 2 27B.

Gemma 2 27B

Jun 27, 2024

2.1 years ago

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

2.0yr 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?Start an Issue discussion→

Key Takeaways

Google
Has open weights
Meta
Larger context window (1,048,576 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 2 27B and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

Gemma 2 27B
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 2 27B
Meta
Muse Spark 1.1

FAQ

Common questions about Gemma 2 27B vs Muse Spark 1.1.

Which is better, Gemma 2 27B or Muse Spark 1.1?

Gemma 2 27B (Google) and Muse Spark 1.1 (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 2 27B compare to Muse Spark 1.1 in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%.

What are the context window sizes for Gemma 2 27B and Muse Spark 1.1?

Gemma 2 27B supports an unknown number of tokens and Muse Spark 1.1 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 2 27B and Muse Spark 1.1?

Key differences include multimodal support (no vs yes), licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 27B and Muse Spark 1.1?

Gemma 2 27B is developed by Google and Muse Spark 1.1 is developed by Meta.

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