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GLM-5.3 vs Muse Glimmer-30B

GLM-5.3 leads the LLM Stats Score 53.6 to 35.1.

Zhipu AI · Meta · Updated for 2026

Which is better?

GLM-5.3 leads the overall LLM Stats Score 53.6 to 35.1, ranking #9 overall.

In the 2 individual benchmarks reported for both models, GLM-5.3 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-5.3

  • overall performance matters — it scores 53.6 and ranks #9 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Aug 2026

Choose Muse Glimmer-30B

  • you are already invested in the Meta ecosystem

At a glance

The differences that matter most.

Core performance indexes
53.6
#9
35.1
#83
52.9
#6
34.5
#85
43.0
#6
22.6
#75
39.5
#7
16.9
#70
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$1.40 / M
— / M
Output price
$4.40 / M
— / M
Context window
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-5.3
Muse Glimmer-30B
33.8#4
17.5#70
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for GLM-5.3 · 25 for Muse Glimmer-30B

2 shared

GLM-5.3 outperforms in 2 benchmarks (Humanity's Last Exam, Terminal-Bench 2.1), while Muse Glimmer-30B is better at 0 benchmarks.

GLM-5.3 significantly outperforms across most benchmarks.

Sat Sep 05 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

723.4B diff

GLM-5.3 has 723.4B more parameters than Muse Glimmer-30B, making it 2443.9% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Meta
Muse Glimmer-30B
29.6Bparameters
753.0B
GLM-5.3
29.6B
Muse Glimmer-30B

Context Window

Maximum input and output token capacity

Only GLM-5.3 specifies input context (1,000,000 tokens). Only GLM-5.3 specifies output context (131,072 tokens).

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output131,072 tokens
Meta
Muse Glimmer-30B
Input- tokens
Output- tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Glimmer-30B supports multimodal inputs, whereas GLM-5.3 does not.

Muse Glimmer-30B can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3

Text
Images
Audio
Video

Muse Glimmer-30B

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3 is licensed under GLM-5.3 License, while Muse Glimmer-30B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5.3

GLM-5.3 License

Open weights

Muse Glimmer-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Muse Glimmer-30B was released on 2026-08-10.

GLM-5.3 is 0 month newer than Muse Glimmer-30B.

GLM-5.3

Aug 14, 2026

3 weeks ago

4d newer
Muse Glimmer-30B

Aug 10, 2026

3 weeks ago

Knowledge Cutoff

When training data ends

Muse Glimmer-30B has a documented knowledge cutoff of 2026-01-04, while GLM-5.3'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-5.3's cutoff date.

GLM-5.3

Muse Glimmer-30B

Jan 2026

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GLM-5.3 and Muse Glimmer-30B side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Muse Glimmer-30B
Open in Playground

FAQ

Common questions about GLM-5.3 vs Muse Glimmer-30B.

Which is better, GLM-5.3 or Muse Glimmer-30B?

GLM-5.3 leads the LLM Stats Score 53.6 to 35.1. GLM-5.3 is made by Zhipu AI and Muse Glimmer-30B is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-5.3 compare to Muse Glimmer-30B in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. Muse Glimmer-30B scores AIME 2026: 94.7%, Siren AgentDojo Utility: 94.2%, GPQA: 83.5%, AA-LCR: 80.0%, CharXiv-R: 78.8%.

What are the context window sizes for GLM-5.3 and Muse Glimmer-30B?

GLM-5.3 supports 1.0M tokens and Muse Glimmer-30B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5.3 and Muse Glimmer-30B?

Key differences include LLM Stats Score (53.6 vs 35.1), multimodal support (no vs yes), licensing (GLM-5.3 License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Muse Glimmer-30B?

GLM-5.3 is developed by Zhipu AI and Muse Glimmer-30B is developed by Meta.