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GLM-4.6 vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.6 to 28.5.

Zhipu AI · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.6 to 28.5, ranking #12 overall.

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

Choose GLM-4.6

  • 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-4.6
Zhipu AI
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
28.5
#156
52.6
#12
Reasoning
28.5
#149
41.2
#62
Coding
14.5
#153
41.4
#9
Agents
8.9
#151
40.6
#6
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.50 / M
— / M
Output price
$2.00 / M
— / M
Context window
202,752
—

Individual benchmarks

7 reported for GLM-4.6 · 16 for Muse Wonder Full

No common benchmarks found

GLM-4.6 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

Context Window

Maximum input and output token capacity

Only GLM-4.6 specifies input context (202,752 tokens). Only GLM-4.6 specifies output context (202,752 tokens).

Zhipu AI
GLM-4.6
Input202,752 tokens
Output202,752 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GLM-4.6 and Muse Wonder Full support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GLM-4.6

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.6 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-4.6

MIT

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.6 was released on 2025-09-30, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 13 months newer than GLM-4.6.

GLM-4.6

Sep 30, 2025

1.1 years ago

Muse Wonder Full

Oct 12, 2026

1 weeks ago

1.0yr 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-4.6 and Muse Wonder Full side-by-side, then vote on the output you prefer.

GLM-4.6
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about GLM-4.6 vs Muse Wonder Full.

Which is better, GLM-4.6 or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.6 to 28.5. GLM-4.6 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-4.6 compare to Muse Wonder Full in benchmarks?

GLM-4.6 scores AIME 2025: 93.9%, LiveCodeBench v6: 82.8%, GPQA: 81.0%, SWE-Bench Verified: 68.0%, BrowseComp: 45.1%. 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 context window sizes for GLM-4.6 and Muse Wonder Full?

GLM-4.6 supports 203K tokens and Muse Wonder Full 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-4.6 and Muse Wonder Full?

Key differences include LLM Stats Score (28.5 vs 52.6), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.6 and Muse Wonder Full?

GLM-4.6 is developed by Zhipu AI and Muse Wonder Full is developed by Meta.

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