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GLM-4.7 vs Muse Wonder

Muse Wonder leads the LLM Stats Score 49.2 to 34.1.

Zhipu AI · Meta · Updated for 2026

Which is better?

Muse Wonder leads the overall LLM Stats Score 49.2 to 34.1, ranking #25 overall.

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

Choose GLM-4.7

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

Choose Muse Wonder

  • overall performance matters — it scores 49.2 and ranks #25 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-4.7
Zhipu AI
Muse Wonder
Meta
Core performance indexes
LLM Stats Score
34.1
#112
49.2
#25
Reasoning
34.1
#108
37.7
#81
Coding
17.4
#137
38.2
#21
Agents
9.4
#145
37.2
#17
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.40 / M
— / M
Output price
$1.75 / M
— / M
Context window
202,752
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-4.7
Muse Wonder
Tool use
8.3#156
19.1#75
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for GLM-4.7 · 16 for Muse Wonder

No common benchmarks found

GLM-4.7 and Muse Wonderdon'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-4.7 specifies input context (202,752 tokens). Only GLM-4.7 specifies output context (202,752 tokens).

Zhipu AI
GLM-4.7
Input202,752 tokens
Output202,752 tokens
Meta
Muse Wonder
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GLM-4.7 and Muse Wonder support multimodal inputs.

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

GLM-4.7

Text
Images
Audio
Video

Muse Wonder

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.7 is licensed under MIT, while Muse Wonder uses a proprietary license.

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

GLM-4.7

MIT

Open weights

Muse Wonder

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.7 was released on 2025-12-22, while Muse Wonder was released on 2026-10-12.

Muse Wonder is 10 months newer than GLM-4.7.

GLM-4.7

Dec 22, 2025

10 months ago

Muse Wonder

Oct 12, 2026

1 weeks ago

9mo 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-4.7 and Muse Wonder side-by-side, then vote on the output you prefer.

GLM-4.7
✓ Preferred
Muse Wonder
Open in Playground

FAQ

Common questions about GLM-4.7 vs Muse Wonder.

Which is better, GLM-4.7 or Muse Wonder?

Muse Wonder leads the LLM Stats Score 49.2 to 34.1. GLM-4.7 is made by Zhipu AI and Muse Wonder 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-4.7 compare to Muse Wonder in benchmarks?

GLM-4.7 scores AIME 2025: 95.7%, Tau-bench: 87.4%, GPQA: 85.7%, LiveCodeBench v6: 84.9%, MMLU-Pro: 84.3%. Muse Wonder scores MemoryBench: 85.6%, DeepSWE 1.1: 78.8%, OSWorld 2.1 (partial): 72.6%, JobBench: 70.5%, HealthBench Professional: 60.5%.

What are the context window sizes for GLM-4.7 and Muse Wonder?

GLM-4.7 supports 203K tokens and Muse Wonder 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-4.7 and Muse Wonder?

Key differences include LLM Stats Score (34.1 vs 49.2), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.7 and Muse Wonder?

GLM-4.7 is developed by Zhipu AI and Muse Wonder is developed by Meta.

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