GLM-5.3-Flash vs Qwen2.5-VL-3B-Instruct-AWQ

Specs, VRAM requirements and download trends — updated 2 November 2026.

zai-org · A · Open weights

Params

321.3 B

Context

—

30d

6.4 M

mit · commercial OK

Qwen · B · Open weights

Params

3.8 B

Context

128,000

30d

868 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification	GLM-5.3-Flash	Qwen2.5-VL-3B-Instruct-AWQ
Deployment	Open weights · also via API	Open weights
Parameters	321.3 B	3.8 B
Architecture	Glm5NextForConditionalGeneration	Qwen2_5_VLForConditionalGeneration
Context length	1,048,575	128,000
Licence	mit	—
Commercial use	Allowed	Unknown
Languages	2	1
Downloads 30d	6,388,408	867,836
Downloads all time	14.2 M	4.2 M
Quantizations on the Hub	SAFETENSORS	SAFETENSORS
Gated	No	No
First seen on the Hub	2026-08-25	2025-02-13
API input price / 1M tokens	$0.15	not on OpenRouter
API output price / 1M tokens	$0.50	not on OpenRouter
Est. cost per 1M input + 1M output tokens	$0.65	not on OpenRouter
Cached input / 1M tokens	$0.03	not on OpenRouter
AA Intelligence Index	27.8	not on OpenRouter
AA Coding Index	71.5	not on OpenRouter
AA Agentic Index	50.9	not on OpenRouter
Max output tokens	943,717	not on OpenRouter
API providers	37	not on OpenRouter
Tool calling	Yes	not on OpenRouter
Reasoning mode	Yes	not on OpenRouter