Model Comparison
GLM-5.1 vs Muse Spark 1.1Which is better in 2026?
Muse Spark 1.1 significantly outperforms across most benchmarks. Muse Spark 1.1 is 1.1x cheaper per token.
Verdict: GLM-5.1 vs Muse Spark 1.1 — which is better?
GLM-5.1 (by Zhipu AI) and Muse Spark 1.1 (by Meta) 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.
GLM-5.1 outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 5 benchmarks (Finance Agent v2, Humanity's Last Exam, MCP Atlas, SWE-Bench Pro, Toolathlon). Muse Spark 1.1 significantly outperforms across most benchmarks.
On price, Muse Spark 1.1 is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose GLM-5.1 if…
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.1 if…
- you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
- cost matters — it's about 1.1x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.1 outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 5 benchmarks (Finance Agent v2, Humanity's Last Exam, MCP Atlas, SWE-Bench Pro, Toolathlon).
Muse Spark 1.1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.1 ($1.40/1M tokens) is 1.1x more expensive than Muse Spark 1.1 ($1.25/1M tokens).
For output processing, GLM-5.1 ($4.40/1M tokens) is 1.0x more expensive than Muse Spark 1.1 ($4.25/1M tokens).
In conclusion, GLM-5.1 is more expensive than Muse Spark 1.1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.1 accepts 1,048,576 input tokens compared to GLM-5.1's 200,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while GLM-5.1 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Muse Spark 1.1 supports multimodal inputs, whereas GLM-5.1 does not.
Muse Spark 1.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.1
Muse Spark 1.1
License
Usage and distribution terms
GLM-5.1 is licensed under MIT, while Muse Spark 1.1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-5.1 was released on 2026-04-07, while Muse Spark 1.1 was released on 2026-07-09.
Muse Spark 1.1 is 3 months newer than GLM-5.1.
Apr 7, 2026
3 months ago
Jul 9, 2026
1 weeks ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5.1 is available from FriendliAI, ZAI. Muse Spark 1.1 is available from Meta Model API.
GLM-5.1
Muse Spark 1.1
Outputs Comparison
Key Takeaways
GLM-5.1
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GLM-5.1 and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GLM-5.1 vs Muse Spark 1.1.