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Gemini 3.7 Flash vs Muse Wonder Full

Gemini 3.7 Flash and Muse Wonder Full are closely matched at 47.6 and 52.1 on the LLM Stats Score.

Google · Meta · Updated for 2026

Which is better?

Gemini 3.7 Flash and Muse Wonder Full are closely matched on the overall LLM Stats Score at 47.6 and 52.1.

The models split the 4 individual benchmarks reported for both models evenly.

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

Choose Gemini 3.7 Flash

  • you want predictable pricing at $0.75/M input and $3.75/M output

Choose Muse Wonder Full

  • your work emphasizes coding and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Gemini 3.7 Flash
Google
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
47.6
#30
52.1
#13
Reasoning
45.3
#34
38.4
#71
Coding
32.2
#47
41.5
#8
Agents
31.3
#36
38.5
#8
Cost, coverage & limits
Benchmark wins
2 of 4
2 of 4
Input price
$0.75 / M
— / M
Output price
$3.75 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 3.7 Flash
Muse Wonder Full
Vision
32.1#25
31.7#28
Multimodal
33.2#19
31.8#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Gemini 3.7 Flash · 16 for Muse Wonder Full

4 shared

Gemini 3.7 Flash outperforms in 2 benchmarks (GDP.pdf, Harvey LAB-AA), while Muse Wonder Full is better at 1 benchmark (DeepSWE 1.1).

Gemini 3.7 Flash has a slight edge in benchmark performance.

Tue Oct 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 3.7 Flash specifies input context (1,000,000 tokens). Only Gemini 3.7 Flash specifies output context (1,000,000 tokens).

Google
Gemini 3.7 Flash
Input1,000,000 tokens
Output1,000,000 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Tue Oct 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.7 Flash and Muse Wonder Full support multimodal inputs.

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

Gemini 3.7 Flash

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3.7 Flash

Proprietary

Closed source

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.7 Flash was released on 2026-08-13, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 2 months newer than Gemini 3.7 Flash.

Gemini 3.7 Flash

Aug 13, 2026

2 months ago

Muse Wonder Full

Oct 12, 2026

0 days ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while Muse Wonder Full's cutoff date is not specified.

We can confirm Gemini 3.7 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Muse Wonder Full's cutoff date.

Gemini 3.7 Flash

Mar 2026

Muse Wonder Full

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 3.7 Flash and Muse Wonder Full side-by-side, then vote on the output you prefer.

Gemini 3.7 Flash
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Gemini 3.7 Flash vs Muse Wonder Full.

Which is better, Gemini 3.7 Flash or Muse Wonder Full?

Gemini 3.7 Flash and Muse Wonder Full are closely matched on the LLM Stats Score at 47.6 and 52.1. Gemini 3.7 Flash 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 3.7 Flash compare to Muse Wonder Full in benchmarks?

Gemini 3.7 Flash scores MRCR v2 (8-needle): 97.0%, Harvey LAB-AA: 90.7%, CharXiv-R: 88.7%, Terminal-Bench 2.1: 85.8%, LVBench: 85.4%. 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 3.7 Flash and Muse Wonder Full?

Gemini 3.7 Flash 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 3.7 Flash and Muse Wonder Full?

Key differences include LLM Stats Score (47.6 vs 52.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.7 Flash and Muse Wonder Full?

Gemini 3.7 Flash is developed by Google and Muse Wonder Full is developed by Meta.

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