Ember-1 vs GLM-5.3-Flash

Ember-1 and GLM-5.3-Flash are closely matched at 43.6 and 49.0 on the LLM Stats Score. GLM-5.3-Flash is 25.3x cheaper per token.

Fireworks AI · Zhipu AI · Updated for 2026

Which is better?

Ember-1 and GLM-5.3-Flash are closely matched on the overall LLM Stats Score at 43.6 and 49.0.

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

On price, GLM-5.3-Flash is roughly 25.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3-Flash 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-Flash

cost matters — it's about 25.3x 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.

Better token value: GLM-5.3-Flash

Core performance indexes

LLM Stats Score

43.6

#46 · 4 evals

49.0

#23 · 15 evals

Best

Reasoning

38.6

#71 · 3 evals

48.0

#22 · 12 evals

Best

Coding

38.0

#20 · 3 evals

Best

33.0

#43 · 3 evals

Agents

31.2

#35 · 2 evals

35.5

#21 · 8 evals

Best

Cost, coverage & limits

Benchmark wins

1 of 2

Input price

$3.00 / M

$0.15 / M

Best

Output price

$15.00 / M

$0.50 / M

Best

Context window

1,040,000

1,048,576

Best

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

Ember-1

GLM-5.3-Flash

Tool use

15.9#93 · 2 evals

28.5#17 · 4 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Ember-1 · 15 for GLM-5.3-Flash

2 shared

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

Both models are evenly matched across the benchmarks.

Wed Oct 07 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-Flash costs less

For input processing, Ember-1 ($3.00/1M tokens) is 20.0x more expensive than GLM-5.3-Flash ($0.15/1M tokens).

For output processing, Ember-1 ($15.00/1M tokens) is 30.0x more expensive than GLM-5.3-Flash ($0.50/1M tokens).

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

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

Lowest available price from all providers

Wed Oct 07 2026 • llm-stats.com

Ember-1

Input tokens$3.00

Output tokens$15.00

Best providerFireworks

GLM-5.3-Flash

Input tokens$0.15

Output tokens$0.50

Best providerDeepinfra

Notice missing or incorrect data?

Model Size

Parameter count comparison

2460.0B diff

Ember-1 has 2460.0B more parameters than GLM-5.3-Flash, making it 768.8% larger.

Ember-1

2.8Tparameters

GLM-5.3-Flash

320.0Bparameters

2780.0B

Ember-1

320.0B

GLM-5.3-Flash

Context Window

Maximum input and output token capacity

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

Ember-1

Input1,040,000 tokens

Output- tokens

GLM-5.3-Flash

Input1,048,576 tokens

Output1,048,576 tokens

Wed Oct 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GLM-5.3-Flash supports multimodal inputs, whereas Ember-1 does not.

GLM-5.3-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ember-1

Text

Images

Audio

Video

GLM-5.3-Flash

Text

Images

Audio

Video

License

Usage and distribution terms

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

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

Ember-1

Proprietary

Closed source

GLM-5.3-Flash

MIT

Open weights

Release Timeline

When each model was launched

Ember-1 was released on 2026-09-23, while GLM-5.3-Flash was released on 2026-08-26.

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

Ember-1

Sep 23, 2026

2 weeks ago

4w newer

GLM-5.3-Flash

Aug 26, 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.

No cutoff dates available

Provider Availability

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

Ember-1

Fireworks

Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

GLM-5.3-Flash

Deepinfra

Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M

FriendliAI

Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M

Novita

Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M

Unknown Organization

Input Price:Input: $0.15/1MOutput 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 Ember-1 and GLM-5.3-Flash side-by-side, then vote on the output you prefer.

Ember-1

✓ Preferred

GLM-5.3-Flash

Open in Playground

FAQ

Common questions about Ember-1 vs GLM-5.3-Flash.

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

Ember-1 and GLM-5.3-Flash are closely matched on the LLM Stats Score at 43.6 and 49.0. Ember-1 is made by Fireworks AI and GLM-5.3-Flash 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-Flash 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-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, Chartography: 78.0%.

Is Ember-1 cheaper than GLM-5.3-Flash?

GLM-5.3-Flash is 20.0x cheaper for input tokens. Ember-1 costs $3.00/M input and $15.00/M output via fireworks. GLM-5.3-Flash costs $0.15/M input and $0.50/M output via deepinfra.

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

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

Key differences include LLM Stats Score (43.6 vs 49.0), context window (1.0M vs 1.0M), input pricing ($3.00 vs $0.15/M), multimodal support (no vs yes), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Ember-1 and GLM-5.3-Flash?

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

Ember-1 vs GLM-5.3-Flash