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GLM-4.7-Flash vs Muse Wonder

Muse Wonder leads the LLM Stats Score 49.2 to 23.2.

Zhipu AI · Meta · Updated for 2026

Which is better?

Muse Wonder leads the overall LLM Stats Score 49.2 to 23.2, ranking #25 overall.

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

Choose GLM-4.7-Flash

  • 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-Flash
Zhipu AI
Muse Wonder
Meta
Core performance indexes
LLM Stats Score
23.2
#199
49.2
#25
Reasoning
23.2
#187
37.7
#81
Coding
3.8
#235
38.2
#21
Agents
4.3
#177
37.2
#17
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.07 / M
— / M
Output price
$0.40 / M
— / M
Context window
128,000
—

Individual benchmarks

6 reported for GLM-4.7-Flash · 16 for Muse Wonder

No common benchmarks found

GLM-4.7-Flash 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-Flash specifies input context (128,000 tokens). Only GLM-4.7-Flash specifies output context (16,384 tokens).

Zhipu AI
GLM-4.7-Flash
Input128,000 tokens
Output16,384 tokens
Meta
Muse Wonder
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Wonder supports multimodal inputs, whereas GLM-4.7-Flash does not.

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

GLM-4.7-Flash

Text
Images
Audio
Video

Muse Wonder

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.7-Flash 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-Flash

MIT

Open weights

Muse Wonder

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.7-Flash was released on 2026-01-19, while Muse Wonder was released on 2026-10-12.

Muse Wonder is 9 months newer than GLM-4.7-Flash.

GLM-4.7-Flash

Jan 19, 2026

9 months ago

Muse Wonder

Oct 12, 2026

1 weeks ago

8mo 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-Flash and Muse Wonder side-by-side, then vote on the output you prefer.

GLM-4.7-Flash
✓ Preferred
Muse Wonder
Open in Playground

FAQ

Common questions about GLM-4.7-Flash vs Muse Wonder.

Which is better, GLM-4.7-Flash or Muse Wonder?

Muse Wonder leads the LLM Stats Score 49.2 to 23.2. GLM-4.7-Flash 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-Flash compare to Muse Wonder in benchmarks?

GLM-4.7-Flash scores AIME 2025: 91.6%, Tau-bench: 79.5%, GPQA: 75.2%, SWE-Bench Verified: 59.2%, BrowseComp: 42.8%. 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-Flash and Muse Wonder?

GLM-4.7-Flash supports 128K 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-Flash and Muse Wonder?

Key differences include LLM Stats Score (23.2 vs 49.2), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.7-Flash and Muse Wonder?

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

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