Qwen3.8-Flash-Next-GSQ-RCO-GGUF vs GLM-4.6V

Specs, VRAM requirements and download trends — updated 24 October 2026.

ISTA-DASLab · A · Open weights

Params

180.0 B

Context

—

30d

6.5 M

apache-2.0 · commercial OK

zai-org · B · Open weights

Params

107.7 B

Context

—

30d

4 K

mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification	Qwen3.8-Flash-Next-GSQ-RCO-GGUF	GLM-4.6V
Deployment	Open weights	Open weights · also via API
Parameters	180.0 B	107.7 B
Architecture	—	Glm4vMoeForConditionalGeneration
Context length	—	131,072
Licence	apache-2.0	mit
Commercial use	Allowed	Allowed
Languages	—	2
Downloads 30d	6,513,173	3,659
Downloads all time	6.7 M	436 K
Quantizations on the Hub	GGUF	SAFETENSORS
Gated	No	No
First seen on the Hub	2026-09-07	2025-12-07
API input price / 1M tokens	not on OpenRouter	$0.30
API output price / 1M tokens	not on OpenRouter	$0.90
Est. cost per 1M input + 1M output tokens	not on OpenRouter	$1.20
Cached input / 1M tokens	not on OpenRouter	$0.05
AA Intelligence Index	not on OpenRouter	11.2
AA Coding Index	not on OpenRouter	—
AA Agentic Index	not on OpenRouter	—
Max output tokens	not on OpenRouter	32,768
API providers	not on OpenRouter	2
Tool calling	not on OpenRouter	Yes
Reasoning mode	not on OpenRouter	Yes

Estimated cost of 1M input + 1M output tokens via OpenRouter

GLM-4.6V $1.20

Daily snapshots, last 23 days (2 Oct – 24 Oct)

6.5 M4 K

Qwen3.8-Flash-Next-GSQ-RCO-GGUF GLM-4.6V

On RTX 4090 · 24 GB · 8K context unless noted

GLM-4.6V · fp16 253.6 GB / 24 GB

❌ Won’t fit