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Ember-1 vs GLM-5.3

Ember-1 and GLM-5.3 are closely matched at 42.3 and 50.9 on the LLM Stats Score. GLM-5.3 is 3.2x cheaper per token.

Fireworks AI · Zhipu AI · Updated for 2026

Which is better?

Ember-1 and GLM-5.3 are closely matched on the overall LLM Stats Score at 42.3 and 50.9.

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

On price, GLM-5.3 is roughly 3.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3 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 Ember-1

  • you want the most recent training data — it shipped Sep 2026

Choose GLM-5.3

  • your work emphasizes reasoning — it leads those capability indexes
  • cost matters — it's about 3.2x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
42.3
#65
50.9
#16
38.7
#77
50.7
#13
35.9
#28
39.4
#13
28.6
#55
37.0
#18
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$3.00 / M
$1.20 / M
Output price
$15.00 / M
$4.00 / M
Context window
1,040,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ember-1
GLM-5.3
16.1#98
30.9#9
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Ember-1 · 17 for GLM-5.3

2 shared

Ember-1 outperforms in 1 benchmarks (DeepSWE 1.1), while GLM-5.3 is better at 1 benchmark (Terminal-Bench 2.1).

Both models are evenly matched across the benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GLM-5.3 costs less

For input processing, Ember-1 ($3.00/1M tokens) is 2.5x more expensive than GLM-5.3 ($1.20/1M tokens).

For output processing, Ember-1 ($15.00/1M tokens) is 3.8x more expensive than GLM-5.3 ($4.00/1M tokens).

In conclusion, Ember-1 is more expensive than GLM-5.3.*

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

Lowest available price from all providers
Fri Oct 23 2026 • llm-stats.com
Fireworks AI
Ember-1
Input tokens$3.00
Output tokens$15.00
Best providerFireworks
Zhipu AI
GLM-5.3
Input tokens$1.20
Output tokens$4.00
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

2027.0B diff

Ember-1 has 2027.0B more parameters than GLM-5.3, making it 269.2% larger.

Fireworks AI
Ember-1
2.8Tparameters
Zhipu AI
GLM-5.3
753.0Bparameters
2780.0B
Ember-1
753.0B
GLM-5.3

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,048,576 input tokens compared to Ember-1's 1,040,000 tokens. Only GLM-5.3 specifies output context (1,048,576 tokens).

Fireworks AI
Ember-1
Input1,040,000 tokens
Output- tokens
Zhipu AI
GLM-5.3
Input1,048,576 tokens
Output1,048,576 tokens
Fri Oct 23 2026 • llm-stats.com

License

Usage and distribution terms

Ember-1 is licensed under a proprietary license, while GLM-5.3 uses GLM-5.3 License.

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

Ember-1

Proprietary

Closed source

GLM-5.3

GLM-5.3 License

Open weights

Release Timeline

When each model was launched

Ember-1 was released on 2026-09-23, while GLM-5.3 was released on 2026-08-14.

Ember-1 is 1 month newer than GLM-5.3.

Ember-1

Sep 23, 2026

3 weeks ago

1mo newer
GLM-5.3

Aug 14, 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.

No cutoff dates available

Provider Availability

Ember-1 is available from Fireworks. GLM-5.3 is available from DeepInfra, FriendliAI, Novita, ZAI.

Ember-1

fireworks logo
Fireworks
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ember-1 and GLM-5.3 side-by-side, then vote on the output you prefer.

Ember-1
✓ Preferred
GLM-5.3
Open in Playground

FAQ

Common questions about Ember-1 vs GLM-5.3.

Which is better, Ember-1 or GLM-5.3?

Ember-1 and GLM-5.3 are closely matched on the LLM Stats Score at 42.3 and 50.9. Ember-1 is made by Fireworks AI and GLM-5.3 is made by Zhipu AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ember-1 compare to GLM-5.3 in benchmarks?

Ember-1 scores SWE-Bench Verified: 92.2%, Terminal-Bench 2.1: 82.0%, DeepSWE 1.1: 75.2%, Tau2 Airline: 66.0%. GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

Is Ember-1 cheaper than GLM-5.3?

GLM-5.3 is 2.5x cheaper for input tokens. Ember-1 costs $3.00/M input and $15.00/M output via fireworks. GLM-5.3 costs $1.20/M input and $4.00/M output via deepinfra.

What are the context window sizes for Ember-1 and GLM-5.3?

Ember-1 supports 1.0M tokens and GLM-5.3 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 Ember-1 and GLM-5.3?

Key differences include LLM Stats Score (42.3 vs 50.9), context window (1.0M vs 1.0M), input pricing ($3.00 vs $1.20/M), licensing (Proprietary vs GLM-5.3 License). See the full comparison above for benchmark-by-benchmark results.

Who makes Ember-1 and GLM-5.3?

Ember-1 is developed by Fireworks AI and GLM-5.3 is developed by Zhipu AI.