AI Models · Open-Source vs Paid

GLM 5.3 (batch) Open vs FIEmber-1 Paid

GLM 5.3 (batch) vs Ember-1 compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Ember-1 — full profile ›

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

GLM 5.3 (batch)OpenZ.AI

$0.45 /M input
$2 /M outputNo per-token fees if you self-host

TypeOpen-weight

Context window1M tokens

MultimodalNo

Self-hostYes

FIEmber-1PaidFireworks

$3 /M input
$15 /M outputManaged API (no infra to run)

TypeProprietary

Context window1M tokens

MultimodalYes

Self-hostNo

Choose GLM 5.3 (batch) if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Ember-1 if you want frontier capability through a managed API with zero infrastructure to run.

GLM 5.3 (batch) vs Ember-1 specs

Spec	GLM 5.3 (batch)	Ember-1	Winner
Maker	Z.AI	Fireworks	–
Type	Open-weight	Proprietary	GLM 5.3 (batch)
Context window	1M tokens	1M tokens	= Tie
Input price	$0.45/M · free self-host	$3/M	GLM 5.3 (batch)
Output price	$2/M · free self-host	$15/M	GLM 5.3 (batch)
Vision / multimodal	No	Yes	FIEmber-1
Tool / function calling	Yes	Yes	= Tie
Self-hostable	Yes	No (API only)	GLM 5.3 (batch)
License	MIT	Proprietary	GLM 5.3 (batch)

Price gap & when to choose each

7.5×cheaper per output token

GLM 5.3 (batch) is ~7.5× cheaper than Ember-1 on output tokens ($2 vs $15 per M tokens).

Choose GLM 5.3 (batch) if…

You want to self-host or run on your cloud
You prioritize data privacy & control
You want the lowest operating costs
You are building open or reproducible AI

FIChoose Ember-1 if…

You want frontier performance through a managed API
You value reliability & ecosystem
You don't want to manage infrastructure

Feature comparison

Capability	GLM 5.3 (batch)	Ember-1
Open weights (downloadable)	✓	✗
Self-hostable	✓	✗
Runs fully offline	✓	✗
Vision / multimodal	✗	✓
Tool / function calling	✓	✓
1M+ context window	✓	✓

Benchmarks: GLM 5.3 (batch) vs Ember-1

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

GLM 5.3 (batch)

Ember-1

Intelligence index

44.8

–

Coding index

74.8

–

GPQA

91.7%

–

Humanity's Last Exam

42.3%

–

Long Context Reasoning

79.7%

–

SciCode

59%

–

τ-Bench Banking

50.3%

–

Terminal-Bench

83.9%

–

Speed

74 tok/s

–

Latency

3.08s

–

Intelligence per $

20.8

–

Benchmark data by Artificial Analysis.

How GLM 5.3 (batch) and Ember-1 score

🏆 Best value & openness: GLM 5.3 (batch) (4.6 vs 3.1 / 5)

Criterion	GLM 5.3 (batch)	Ember-1
Cost-efficiency	4.5	3.0
Context window	5.0	5.0
Openness	5.0	1.5
Self-hosting	5.0	1.0
Multimodality	3.5	5.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

GLM 5.3 (batch) Open

Z.AI · Open-weight

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...

Ember-1 Paid

Fireworks · Proprietary

Ember-1 is a specialized reasoning model from Fireworks Research, built on [Kimi K3](https://openrouter.ai/moonshotai/kimi-k3). It is designed to make every token go further: it produces shorter reasoning traces, using roughly 40%...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked

GLM 5.3GLM 5.3 Flash (batch)GLM 5.3 FlashGLM 5.2GLM 5GLM 5 TurboGLM 5.1GLM 5V TurboGLM 4.7GLM 4.6GLM 4.7 FlashGLM 4.5GLM 4.5 AirGLM 4.6VGLM 4.5VGLM 5.3 PrimeGLM 5.3 FlashX

Frequently asked questions

Is GLM 5.3 (batch) as good as Ember-1?

GLM 5.3 (batch) is open-weight and competitive on many tasks, but Ember-1 may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run GLM 5.3 (batch) locally?

Yes. GLM 5.3 (batch) has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Ember-1 is API-only and cannot be self-hosted.

How much cheaper is GLM 5.3 (batch)?

GLM 5.3 (batch) costs $2/M output vs $15/M for Ember-1 — roughly 8x cheaper via API, and free if you self-host.

GLM 5.3 (batch) vs Ember-1 — which should I pick in 2026?

Choose GLM 5.3 (batch) if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Ember-1 if you want frontier capability through a managed API with zero infrastructure to run.

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