GLM-5.2 vs Muse Wonder Full
Muse Wonder Full leads the LLM Stats Score 52.1 to 44.9.
Zhipu AI · Meta · Updated for 2026
Which is better?
Muse Wonder Full leads the overall LLM Stats Score 52.1 to 44.9, ranking #13 overall.
In the 3 individual benchmarks reported for both models, Muse Wonder Full wins 2; 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 GLM-5.2
- 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 coding and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
19 reported for GLM-5.2 · 16 for Muse Wonder Full
GLM-5.2 outperforms in 1 benchmarks (Program Bench), while Muse Wonder Full is better at 2 benchmarks (DeepSWE 1.1, SWE-Marathon).
Muse Wonder Full shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only GLM-5.2 specifies input context (1,048,576 tokens). Only GLM-5.2 specifies output context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
Muse Wonder Full supports multimodal inputs, whereas GLM-5.2 does not.
Muse Wonder Full can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.2
Muse Wonder Full
License
Usage and distribution terms
GLM-5.2 is licensed under MIT, while Muse Wonder Full uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-5.2 was released on 2026-06-16, while Muse Wonder Full was released on 2026-10-12.
Muse Wonder Full is 4 months newer than GLM-5.2.
Jun 16, 2026
3 months ago
Oct 12, 2026
-1 days ago
3mo newerKnowledge 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 GLM-5.2 and Muse Wonder Full side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.2 vs Muse Wonder Full.