The AI arena is free today

Open Superagent

Gemini 2.5 Flash-Lite vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.1 to 10.4.

Google · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to 10.4, ranking #13 overall.

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

Choose Gemini 2.5 Flash-Lite

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

Choose Muse Wonder Full

  • overall performance matters — it scores 52.1 and ranks #13 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
10.4
#280
52.1
#13
10.9
#274
38.4
#71
-2.9
#266
41.5
#8
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.40 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 2.5 Flash-Lite
Muse Wonder Full
3.5#174
31.7#28
11.5#122
31.8#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 2.5 Flash-Lite · 16 for Muse Wonder Full

No common benchmarks found

Gemini 2.5 Flash-Lite and Muse Wonder Fulldon'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 Gemini 2.5 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.5 Flash-Lite specifies output context (65,536 tokens).

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Sat Oct 17 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.5 Flash-Lite and Muse Wonder Full support multimodal inputs.

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

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while Muse Wonder Full uses a proprietary license.

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

Gemini 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.5 Flash-Lite was released on 2025-06-17, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 16 months newer than Gemini 2.5 Flash-Lite.

Gemini 2.5 Flash-Lite

Jun 17, 2025

1.3 years ago

Muse Wonder Full

Oct 12, 2026

4 days ago

1.3yr newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while Muse Wonder Full's cutoff date is not specified.

We can confirm Gemini 2.5 Flash-Lite's training data extends to 2025-01-01, but cannot make a direct comparison without Muse Wonder Full's cutoff date.

Gemini 2.5 Flash-Lite

Jan 2025

Muse Wonder Full

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 2.5 Flash-Lite and Muse Wonder Full side-by-side, then vote on the output you prefer.

Gemini 2.5 Flash-Lite
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Gemini 2.5 Flash-Lite vs Muse Wonder Full.

Which is better, Gemini 2.5 Flash-Lite or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.1 to 10.4. Gemini 2.5 Flash-Lite is made by Google and Muse Wonder Full 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 2.5 Flash-Lite compare to Muse Wonder Full in benchmarks?

Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%. Muse Wonder Full scores MemoryBench: 85.5%, DeepSWE 1.1: 79.0%, OSWorld 2.1 (partial): 78.4%, JobBench: 75.3%, HealthBench Professional: 62.3%.

What are the context window sizes for Gemini 2.5 Flash-Lite and Muse Wonder Full?

Gemini 2.5 Flash-Lite supports 1.0M tokens and Muse Wonder Full supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.5 Flash-Lite and Muse Wonder Full?

Key differences include LLM Stats Score (10.4 vs 52.1), licensing (Creative Commons Attribution 4.0 License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Flash-Lite and Muse Wonder Full?

Gemini 2.5 Flash-Lite is developed by Google and Muse Wonder Full is developed by Meta.