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GLM-4.5-Air vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.6 to 23.9.

Zhipu AI · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.6 to 23.9, ranking #12 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GLM-4.5-Air

  • you need open weights you can self-host or fine-tune

Choose Muse Wonder Full

  • overall performance matters — it scores 52.6 and ranks #12 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

GLM-4.5-Air
Zhipu AI
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
23.9
#189
52.6
#12
Reasoning
23.3
#187
41.2
#62
Coding
10.8
#183
41.4
#9
Agents
5.7
#165
40.6
#6
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-4.5-Air
Muse Wonder Full
Tool use
20.0#71
24.7#39
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for GLM-4.5-Air · 16 for Muse Wonder Full

No common benchmarks found

GLM-4.5-Air and Muse Wonder Fulldon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Input capabilities

Documented input modalities across available providers

Muse Wonder Full supports multimodal inputs, whereas GLM-4.5-Air does not.

Muse Wonder Full can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.5-Air

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5-Air 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.

GLM-4.5-Air

MIT

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 15 months newer than GLM-4.5-Air.

GLM-4.5-Air

Jul 28, 2025

1.2 years ago

Muse Wonder Full

Oct 12, 2026

1 weeks ago

1.2yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GLM-4.5-Air and Muse Wonder Full side-by-side, then vote on the output you prefer.

GLM-4.5-Air
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about GLM-4.5-Air vs Muse Wonder Full.

Which is better, GLM-4.5-Air or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.6 to 23.9. GLM-4.5-Air is made by Zhipu AI and Muse Wonder Full 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-4.5-Air compare to Muse Wonder Full in benchmarks?

GLM-4.5-Air scores MATH-500: 98.1%, AIME 2024: 89.4%, MMLU-Pro: 81.4%, TAU-bench Retail: 77.9%, BFCL-v3: 76.4%. Muse Wonder Full scores MemoryBench: 85.5%, DeepSWE 1.1: 79.0%, OSWorld 2.1 (partial): 78.4%, JobBench: 75.3%, HealthBench Professional: 62.3%.

What are the main differences between GLM-4.5-Air and Muse Wonder Full?

Key differences include LLM Stats Score (23.9 vs 52.6), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5-Air and Muse Wonder Full?

GLM-4.5-Air is developed by Zhipu AI and Muse Wonder Full is developed by Meta.

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