GLM-5.3 vs Muse Spark 1.2
GLM-5.3 and Muse Spark 1.2 are closely matched at 52.7 and 39.8 on the LLM Stats Score. GLM-5.3 is 1.1x cheaper per token.
Zhipu AI · Meta · Updated for 2026
Which is better?
GLM-5.3 and Muse Spark 1.2 are closely matched on the overall LLM Stats Score at 52.7 and 39.8.
In the 2 individual benchmarks reported for both models, GLM-5.3 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, GLM-5.3 is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-5.3
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 1.1x cheaper per token
- 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 1.2
- you want predictable pricing at $1.25/M input and $4.25/M output
At a glance
The differences that matter most.
Individual benchmarks
17 reported for GLM-5.3 · 3 for Muse Spark 1.2
GLM-5.3 outperforms in 2 benchmarks (DeepSWE 1.1, Terminal-Bench 2.1), while Muse Spark 1.2 is better at 0 benchmarks.
GLM-5.3 significantly outperforms across most 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 ($1.20/1M tokens) is 1.0x cheaper than Muse Spark 1.2 ($1.25/1M tokens).
For output processing, GLM-5.3 ($4.00/1M tokens) is 1.1x cheaper than Muse Spark 1.2 ($4.25/1M tokens).
In conclusion, Muse Spark 1.2 is more expensive than GLM-5.3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. GLM-5.3 can generate longer responses up to 1,048,576 tokens, while Muse Spark 1.2 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.2 supports multimodal inputs, whereas GLM-5.3 does not.
Muse Spark 1.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3
Muse Spark 1.2
License
Usage and distribution terms
GLM-5.3 is licensed under GLM-5.3 License, while Muse Spark 1.2 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 1.2 was released on 2026-08-05.
GLM-5.3 is 0 month newer than Muse Spark 1.2.
Aug 14, 2026
1 months ago
1w newerAug 5, 2026
1 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 DeepInfra, FriendliAI, Novita, ZAI. Muse Spark 1.2 is available from Meta Model API.
GLM-5.3
Muse Spark 1.2
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3 and Muse Spark 1.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs Muse Spark 1.2.