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GLM-4.5V vs Muse Wonder

Comparing GLM-4.5V and Muse Wonder across benchmarks, pricing, and capabilities.

Zhipu AI · Meta · Updated for 2026

Which is better?

GLM-4.5V and Muse Wonder trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose GLM-4.5V

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

Choose Muse Wonder

  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

GLM-4.5V
Zhipu AI
Muse Wonder
Meta
Benchmark wins
—
—
Input price
$0.55 / M
— / M
Output price
$2.19 / M
— / M
Context window
131,072
—

Individual benchmarks

0 reported for GLM-4.5V · 16 for Muse Wonder

No common benchmarks found

GLM-4.5V 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-4.5V specifies input context (131,072 tokens). Only GLM-4.5V specifies output context (131,072 tokens).

Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Meta
Muse Wonder
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GLM-4.5V and Muse Wonder support multimodal inputs.

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

GLM-4.5V

Text
Images
Audio
Video

Muse Wonder

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5V 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-4.5V

MIT

Open weights

Muse Wonder

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while Muse Wonder was released on 2026-10-12.

Muse Wonder is 14 months newer than GLM-4.5V.

GLM-4.5V

Aug 11, 2025

1.2 years ago

Muse Wonder

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-4.5V and Muse Wonder side-by-side, then vote on the output you prefer.

GLM-4.5V
✓ Preferred
Muse Wonder
Open in Playground

FAQ

Common questions about GLM-4.5V vs Muse Wonder.

Which is better, GLM-4.5V or Muse Wonder?

GLM-4.5V (Zhipu AI) and Muse Wonder (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-4.5V compare to Muse Wonder in benchmarks?

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-4.5V and Muse Wonder?

GLM-4.5V supports 131K 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-4.5V and Muse Wonder?

Key differences include licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5V and Muse Wonder?

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

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