Model Comparison

Muse Spark 1.1 vs GLM-5V-TurboWhich is better in 2026?

Comparing Muse Spark 1.1 and GLM-5V-Turbo across benchmarks, pricing, and capabilities.

Verdict: Muse Spark 1.1 vs GLM-5V-Turbo — which is better?

Muse Spark 1.1 (by Meta) and GLM-5V-Turbo (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Muse Spark 1.1 if…

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

Choose GLM-5V-Turbo if…

  • you want predictable pricing at $1.20/M input and $4.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Muse Spark 1.1 and GLM-5V-Turbodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GLM-5V-Turbo specifies input context (200,000 tokens). Only GLM-5V-Turbo specifies output context (128,000 tokens).

Meta
Muse Spark 1.1
Input- tokens
Output- tokens
Zhipu AI
GLM-5V-Turbo
Input200,000 tokens
Output128,000 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Muse Spark 1.1 and GLM-5V-Turbo support multimodal inputs.

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

Muse Spark 1.1

Text
Images
Audio
Video

GLM-5V-Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Muse Spark 1.1

Proprietary

Closed source

GLM-5V-Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Spark 1.1 was released on 2026-07-09, while GLM-5V-Turbo was released on 2026-04-02.

Muse Spark 1.1 is 3 months newer than GLM-5V-Turbo.

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

3mo newer
GLM-5V-Turbo

Apr 2, 2026

3 months ago

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?Start an Issue discussion→

Key Takeaways

Meta

No standout differentiators in the data we have for this pair.

Zhipu AI
Larger context window (200,000 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Muse Spark 1.1 and GLM-5V-Turbo side-by-side, then vote on the output you prefer.

Muse Spark 1.1
✓ Preferred
GLM-5V-Turbo
Open in Playground
AI Model Comparison Table
Feature
Meta
Muse Spark 1.1
Zhipu AI
GLM-5V-Turbo

FAQ

Common questions about Muse Spark 1.1 vs GLM-5V-Turbo.

Which is better, Muse Spark 1.1 or GLM-5V-Turbo?

Muse Spark 1.1 (Meta) and GLM-5V-Turbo (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Muse Spark 1.1 compare to GLM-5V-Turbo in benchmarks?

Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%. GLM-5V-Turbo scores Design2Code: 94.8%, Flame-VLM-Code: 93.8%, V*: 89.0%, WebVoyager: 88.5%, PinchBench: 80.7%.

What are the context window sizes for Muse Spark 1.1 and GLM-5V-Turbo?

Muse Spark 1.1 supports an unknown number of tokens and GLM-5V-Turbo supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes Muse Spark 1.1 and GLM-5V-Turbo?

Muse Spark 1.1 is developed by Meta and GLM-5V-Turbo is developed by Zhipu AI.

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