GLM-5.3-Flash vs Muse Ember
GLM-5.3-Flash and Muse Ember are closely matched at 47.9 and 45.9 on the LLM Stats Score. Muse Ember is 1.2x cheaper per token.
Zhipu AI · Meta · Updated for 2026
Which is better?
GLM-5.3-Flash and Muse Ember are closely matched on the overall LLM Stats Score at 47.9 and 45.9.
In the 1 individual benchmarks reported for both models, Muse Ember wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Ember is roughly 1.2x 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-Flash
- you need open weights you can self-host or fine-tune
Choose Muse Ember
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 1.2x cheaper per token
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for GLM-5.3-Flash · 6 for Muse Ember
GLM-5.3-Flash outperforms in 0 benchmarks, while Muse Ember is better at 1 benchmark (Agents' Last Exam).
Muse Ember 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-Flash ($0.15/1M tokens) is 1.5x more expensive than Muse Ember ($0.10/1M tokens).
For output processing, GLM-5.3-Flash ($0.50/1M tokens) costs the same as Muse Ember ($0.50/1M tokens).
In conclusion, GLM-5.3-Flash is more expensive than Muse Ember.*
* 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-Flash can generate longer responses up to 1,048,576 tokens, while Muse Ember is limited to 524,288 tokens.
Input capabilities
Documented input modalities across available providers
Both GLM-5.3-Flash and Muse Ember support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GLM-5.3-Flash
Muse Ember
License
Usage and distribution terms
GLM-5.3-Flash is licensed under MIT, while Muse Ember 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-5.3-Flash was released on 2026-08-26, while Muse Ember was released on 2026-11-09.
Muse Ember is 3 months newer than GLM-5.3-Flash.
Aug 26, 2026
2 months ago
Nov 9, 2026
3 days ago
2mo 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-Flash is available from DeepInfra, FriendliAI, Novita, ZAI. Muse Ember is available from Meta Model API.
GLM-5.3-Flash
Muse Ember
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3-Flash and Muse Ember side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3-Flash vs Muse Ember.