GLM-5.3 vs Muse Spark 1.1
GLM-5.3 and Muse Spark 1.1 are closely matched at 53.6 and 49.9 on the LLM Stats Score. Muse Spark 1.1 is 1.1x cheaper per token.
Zhipu AI · Meta · Updated for 2026
Which is better?
GLM-5.3 and Muse Spark 1.1 are closely matched on the overall LLM Stats Score at 53.6 and 49.9.
In the 4 individual benchmarks reported for both models, GLM-5.3 wins 3; this is a narrower head-to-head signal than the composite indexes.
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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-5.3
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.1
- cost matters — it's about 1.1x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for GLM-5.3 · 11 for Muse Spark 1.1
GLM-5.3 outperforms in 3 benchmarks (DeepSWE 1.1, Humanity's Last Exam, Terminal-Bench 2.1), while Muse Spark 1.1 is better at 1 benchmark (Toolathlon).
GLM-5.3 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.3 ($1.40/1M tokens) is 1.1x more expensive than Muse Spark 1.1 ($1.25/1M tokens).
For output processing, GLM-5.3 ($4.40/1M tokens) is 1.0x more expensive than Muse Spark 1.1 ($4.25/1M tokens).
In conclusion, GLM-5.3 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-5.3's 1,000,000 tokens. Both models can generate responses up to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.1 supports multimodal inputs, whereas GLM-5.3 does not.
Muse Spark 1.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3
Muse Spark 1.1
License
Usage and distribution terms
GLM-5.3 is licensed under GLM-5.3 License, 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.
GLM-5.3 License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while Muse Spark 1.1 was released on 2026-07-09.
GLM-5.3 is 1 month newer than Muse Spark 1.1.
Aug 14, 2026
3 weeks ago
1mo newerJul 9, 2026
2 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5.3 is available from FriendliAI, Novita, ZAI. Muse Spark 1.1 is available from Meta Model API.
GLM-5.3
Muse Spark 1.1
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3 and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs Muse Spark 1.1.