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GLM-5.3 vs Muse Ember

GLM-5.3 and Muse Ember are closely matched at 49.9 and 45.9 on the LLM Stats Score. Muse Ember is 9.5x cheaper per token.

Zhipu AI · Meta · Updated for 2026

Which is better?

GLM-5.3 and Muse Ember are closely matched on the overall LLM Stats Score at 49.9 and 45.9.

The models split the 2 individual benchmarks reported for both models evenly.

On price, Muse Ember is roughly 9.5x 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

  • you need open weights you can self-host or fine-tune

Choose Muse Ember

  • cost matters — it's about 9.5x cheaper per token
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Core performance indexes
49.9
#22
45.9
#47
49.7
#18
48.1
#24
37.8
#21
27.3
#85
35.4
#24
31.6
#45
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$1.20 / M
$0.10 / M
Output price
$4.00 / M
$0.50 / M
Context window
1,048,576
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-5.3
Muse Ember
30.1#16
30.7#14
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for GLM-5.3 · 6 for Muse Ember

2 shared

GLM-5.3 outperforms in 1 benchmarks (Terminal-Bench 4.0), while Muse Ember is better at 1 benchmark (Agents' Last Exam).

Both models are evenly matched across the benchmarks.

Sat Nov 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Muse Ember costs less

For input processing, GLM-5.3 ($1.20/1M tokens) is 12.0x more expensive than Muse Ember ($0.10/1M tokens).

For output processing, GLM-5.3 ($4.00/1M tokens) is 8.0x more expensive than Muse Ember ($0.50/1M tokens).

In conclusion, GLM-5.3 is more expensive than Muse Ember.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Nov 14 2026 • llm-stats.com
Zhipu AI
GLM-5.3
Input tokens$1.20
Output tokens$4.00
Best providerDeepinfra
Meta
Muse Ember
Input tokens$0.10
Output tokens$0.50
Best providerMeta
Notice missing or incorrect data?

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 Ember is limited to 524,288 tokens.

Zhipu AI
GLM-5.3
Input1,048,576 tokens
Output1,048,576 tokens
Meta
Muse Ember
Input1,048,576 tokens
Output524,288 tokens
Sat Nov 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Ember supports multimodal inputs, whereas GLM-5.3 does not.

Muse Ember can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3

Text
Images
Audio
Video

Muse Ember

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3 is licensed under GLM-5.3 License, while Muse Ember uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5.3

GLM-5.3 License

Open weights

Muse Ember

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Muse Ember was released on 2026-11-09.

Muse Ember is 3 months newer than GLM-5.3.

GLM-5.3

Aug 14, 2026

3 months ago

Muse Ember

Nov 9, 2026

3 days ago

2mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GLM-5.3 is available from DeepInfra, FriendliAI, Novita, ZAI. Muse Ember is available from Meta Model API.

GLM-5.3

deepinfra logo
Deepinfra
Input Price:Input: $1.20/1MOutput Price:Output: $4.00/1M
friendli logo
FriendliAI
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
novita logo
Novita
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

Muse Ember

meta logo
Meta
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GLM-5.3 and Muse Ember side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Muse Ember
Open in Playground

FAQ

Common questions about GLM-5.3 vs Muse Ember.

Which is better, GLM-5.3 or Muse Ember?

GLM-5.3 and Muse Ember are closely matched on the LLM Stats Score at 49.9 and 45.9. GLM-5.3 is made by Zhipu AI and Muse Ember is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-5.3 compare to Muse Ember in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. Muse Ember scores PerceptionBench: 80.6%, OSWorld 2.1 (partial): 69.5%, Agents' Last Exam: 61.6%, Personal Superintelligence Index: 46.8%, Terminal-Bench 4.0: 40.9%.

Is GLM-5.3 cheaper than Muse Ember?

Muse Ember is 12.0x cheaper for input tokens. GLM-5.3 costs $1.20/M input and $4.00/M output via deepinfra. Muse Ember costs $0.10/M input and $0.50/M output via meta.

What are the context window sizes for GLM-5.3 and Muse Ember?

GLM-5.3 supports 1.0M tokens and Muse Ember supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5.3 and Muse Ember?

Key differences include LLM Stats Score (49.9 vs 45.9), input pricing ($1.20 vs $0.10/M), multimodal support (no vs yes), licensing (GLM-5.3 License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Muse Ember?

GLM-5.3 is developed by Zhipu AI and Muse Ember is developed by Meta.