Model Comparison
Muse Spark vs GLM-5.1Which is better in 2026?
GLM-5.1 has a slight edge in benchmark performance.
Verdict: Muse Spark vs GLM-5.1 — which is better?
Muse Spark (by Meta) and GLM-5.1 (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.
Muse Spark outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while GLM-5.1 is better at 3 benchmarks (GDPval-AA, SWE-Bench Pro, Terminal-Bench 2.0). GLM-5.1 has a slight edge in benchmark performance.
Choose Muse Spark if…
- you want the most recent training data — it shipped Apr 2026
Choose GLM-5.1 if…
- you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Muse Spark outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while GLM-5.1 is better at 3 benchmarks (GDPval-AA, SWE-Bench Pro, Terminal-Bench 2.0).
GLM-5.1 has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only GLM-5.1 specifies input context (200,000 tokens). Only GLM-5.1 specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Muse Spark supports multimodal inputs, whereas GLM-5.1 does not.
Muse Spark can handle both text and other forms of data like images, making it suitable for multimodal applications.
Muse Spark
GLM-5.1
License
Usage and distribution terms
Muse Spark is licensed under a proprietary license, while GLM-5.1 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Muse Spark was released on 2026-04-08, while GLM-5.1 was released on 2026-04-07.
Muse Spark is 0 month newer than GLM-5.1.
Apr 8, 2026
3 months ago
1d newerApr 7, 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.
Outputs Comparison
Key Takeaways
GLM-5.1
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Muse Spark and GLM-5.1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Muse Spark vs GLM-5.1.