The AI arena is free today

Open Superagent

Gemini 4 Argon vs Muse Wonder Full

Gemini 4 Argon and Muse Wonder Full are closely matched at 55.4 and 52.1 on the LLM Stats Score.

Google · Meta · Updated for 2026

Which is better?

Gemini 4 Argon and Muse Wonder Full are closely matched on the overall LLM Stats Score at 55.4 and 52.1.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose Gemini 4 Argon

  • your work emphasizes reasoning — it leads those capability indexes

Choose Muse Wonder Full

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

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
55.4
#4
52.1
#13
Reasoning
53.3
#6
38.4
#71
Coding
43.0
#7
41.5
#8
Agents
40.9
#4
38.5
#8
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 4 Argon
Muse Wonder Full
Vision
36.8#8
31.7#28
Multimodal
37.0#8
31.8#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 16 for Muse Wonder Full

2 shared

Gemini 4 Argon outperforms in 1 benchmarks (Vals Finance Agent v2), while Muse Wonder Full is better at 1 benchmark (DeepSWE 1.1).

Both models are evenly matched across the benchmarks.

Mon Oct 12 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and Muse Wonder Full support multimodal inputs.

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

Gemini 4 Argon

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 4 Argon

Proprietary

Closed source

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 0 month newer than Gemini 4 Argon.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

Muse Wonder Full

Oct 12, 2026

0 days ago

1w 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?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and Muse Wonder Full side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Muse Wonder Full.

Which is better, Gemini 4 Argon or Muse Wonder Full?

Gemini 4 Argon and Muse Wonder Full are closely matched on the LLM Stats Score at 55.4 and 52.1. Gemini 4 Argon 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 4 Argon compare to Muse Wonder Full in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. 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 main differences between Gemini 4 Argon and Muse Wonder Full?

Key differences include LLM Stats Score (55.4 vs 52.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Muse Wonder Full?

Gemini 4 Argon is developed by Google and Muse Wonder Full is developed by Meta.

Related comparisons