Hy4 preview vs Muse Glimmer-30B
Hy4 preview leads the LLM Stats Score 51.0 to 35.0.
Tencent · Meta · Updated for 2026
Which is better?
Hy4 preview leads the overall LLM Stats Score 51.0 to 35.0, ranking #14 overall.
In the 5 individual benchmarks reported for both models, Hy4 preview wins 5; 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 Hy4 preview
- overall performance matters — it scores 51.0 and ranks #14 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
- you want the most recent training data — it shipped Aug 2026
Choose Muse Glimmer-30B
- you want predictable pricing at $0.30/M input and $1.20/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
32 reported for Hy4 preview · 25 for Muse Glimmer-30B
Hy4 preview outperforms in 5 benchmarks (GPQA, MCP Atlas, SkillsBench, SWE-Bench Pro, Terminal-Bench 2.1), while Muse Glimmer-30B is better at 0 benchmarks.
Hy4 preview significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Hy4 preview has 740.4B more parameters than Muse Glimmer-30B, making it 2501.4% larger.
Context Window
Maximum input and output token capacity
Only Muse Glimmer-30B specifies input context (131,072 tokens). Only Muse Glimmer-30B specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Muse Glimmer-30B supports multimodal inputs, whereas Hy4 preview does not.
Muse Glimmer-30B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Hy4 preview
Muse Glimmer-30B
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Hy4 preview was released on 2026-08-28, while Muse Glimmer-30B was released on 2026-08-10.
Hy4 preview is 1 month newer than Muse Glimmer-30B.
Aug 28, 2026
3 weeks ago
2w newerAug 10, 2026
1 months ago
Knowledge Cutoff
When training data ends
Muse Glimmer-30B has a documented knowledge cutoff of 2026-01-04, while Hy4 preview'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 Hy4 preview's cutoff date.
—
Jan 2026
Outputs Comparison
Judge for yourself.
Run your own prompts against Hy4 preview and Muse Glimmer-30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Hy4 preview vs Muse Glimmer-30B.