GLM-5.3 vs Muse Spark 1.3
GLM-5.3 and Muse Spark 1.3 are closely matched at 53.8 and 55.4 on the LLM Stats Score. Muse Spark 1.3 is 17.2x cheaper per token.
Zhipu AI · Meta · Updated for 2026
Which is better?
GLM-5.3 and Muse Spark 1.3 are closely matched on the overall LLM Stats Score at 53.8 and 55.4.
In the 4 individual benchmarks reported for both models, Muse Spark 1.3 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Spark 1.3 is roughly 17.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.3 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 want predictable pricing at $1.40/M input and $4.40/M output
Choose Muse Spark 1.3
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- cost matters — it's about 17.2x 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 Sep 2026
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 1.3
GLM-5.3 outperforms in 1 benchmarks (GDPval-AA), while Muse Spark 1.3 is better at 3 benchmarks (AutomationBench, DeepSWE 1.1, Terminal-Bench 2.1).
Muse Spark 1.3 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 14.0x more expensive than Muse Spark 1.3 ($0.10/1M tokens).
For output processing, GLM-5.3 ($4.40/1M tokens) is 22.0x more expensive than Muse Spark 1.3 ($0.20/1M tokens).
In conclusion, GLM-5.3 is more expensive than Muse Spark 1.3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.3 accepts 1,048,576 input tokens compared to GLM-5.3's 1,000,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while GLM-5.3 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.3 supports multimodal inputs, whereas GLM-5.3 does not.
Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3
Muse Spark 1.3
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while Muse Spark 1.3 was released on 2026-09-02.
Muse Spark 1.3 is 1 month newer than GLM-5.3.
Aug 14, 2026
2 weeks ago
Sep 2, 2026
0 days ago
2w 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-5.3 is available from FriendliAI, Novita, ZAI. Muse Spark 1.3 is available from Meta Model API.
GLM-5.3
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs Muse Spark 1.3.