Muse Wonder vs Muse Wonder Full
Muse Wonder and Muse Wonder Full are closely matched at 47.9 and 52.1 on the LLM Stats Score.
Meta · Meta · Updated for 2026
Which is better?
Muse Wonder and Muse Wonder Full are closely matched on the overall LLM Stats Score at 47.9 and 52.1.
In the 16 individual benchmarks reported for both models, Muse Wonder Full wins 15; 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 Muse Wonder
- you want predictable pricing at $4.00/M input and $20.00/M output
Choose Muse Wonder Full
- you value its reported benchmark strengths — it wins 15 of 16 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for Muse Wonder · 16 for Muse Wonder Full
Muse Wonder outperforms in 1 benchmarks (MemoryBench), while Muse Wonder Full is better at 15 benchmarks (Artificial Analysis, AutomationBench-AA, DeepSWE 1.1, FocusBench, GDP.pdf, Harvey LAB-AA, HealthBench Professional, JobBench, OSWorld 2.1 (partial), OSWorld 2.1 (strict), Personal Superintelligence Index, Program Bench, SWE-Marathon, Terminal-Bench 4.0-AA, Vals Finance Agent v2).
Muse Wonder Full significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Muse Wonder specifies input context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
Both Muse Wonder and Muse Wonder Full support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Wonder
Muse Wonder Full
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Both models were released on 2026-10-12.
They likely represent similar generations of model development.
Oct 12, 2026
-1 days ago
Oct 12, 2026
-1 days ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Wonder and Muse Wonder Full side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Wonder vs Muse Wonder Full.