GLM-5.2 vs Muse Glimmer-30B
GLM-5.2 leads the LLM Stats Score 46.5 to 35.5.
Zhipu AI · Meta · Updated for 2026
Which is better?
GLM-5.2 leads the overall LLM Stats Score 46.5 to 35.5, ranking #22 overall.
In the 6 individual benchmarks reported for both models, GLM-5.2 wins 6; 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
- overall performance matters — it scores 46.5 and ranks #22 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 6 of 6 exact shared results
Choose Muse Glimmer-30B
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for GLM-5.2 · 25 for Muse Glimmer-30B
GLM-5.2 outperforms in 6 benchmarks (AIME 2026, GPQA, Humanity's Last Exam, MCP Atlas, SWE-Bench Pro, Terminal-Bench 2.1), while Muse Glimmer-30B is better at 0 benchmarks.
GLM-5.2 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
GLM-5.2 has 723.4B more parameters than Muse Glimmer-30B, making it 2443.9% larger.
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 (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Muse Glimmer-30B supports multimodal inputs, whereas GLM-5.2 does not.
Muse Glimmer-30B can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.2
Muse Glimmer-30B
License
Usage and distribution terms
GLM-5.2 is licensed under MIT, while Muse Glimmer-30B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
GLM-5.2 was released on 2026-06-16, while Muse Glimmer-30B was released on 2026-08-10.
Muse Glimmer-30B is 2 months newer than GLM-5.2.
Jun 16, 2026
2 months ago
Aug 10, 2026
2 weeks ago
1mo newerKnowledge Cutoff
When training data ends
Muse Glimmer-30B has a documented knowledge cutoff of 2026-01-04, while GLM-5.2's cutoff date is not specified.
We can confirm Muse Glimmer-30B's training data extends to 2026-01-04, but cannot make a direct comparison without GLM-5.2's cutoff date.
—
Jan 2026
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.2 and Muse Glimmer-30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.2 vs Muse Glimmer-30B.