Qwen3.8-Flash-Next-GSQ-RCO-GGUF vs Ling-3.0-flash-VL

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

inclusionAI · B · Open weights

Params

124.8 B

Context

—

30d

13 K

mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification	Qwen3.8-Flash-Next-GSQ-RCO-GGUF	Ling-3.0-flash-VL
Deployment	Open weights	Open weights · also via API
Parameters	180.0 B	124.8 B
Architecture	—	BailingMoeV3VLForConditionalGeneration
Context length	—	131,072
Licence	apache-2.0	mit
Commercial use	Allowed	Allowed
Languages	—	—
Downloads 30d	6,513,173	12,986
Downloads all time	6.7 M	24 K
Quantizations on the Hub	GGUF	SAFETENSORS
Gated	No	No
First seen on the Hub	2026-09-07	2026-09-04
API input price / 1M tokens	not on OpenRouter	$0.06
API output price / 1M tokens	not on OpenRouter	$0.18
Est. cost per 1M input + 1M output tokens	not on OpenRouter	$0.24
Cached input / 1M tokens	not on OpenRouter	$0.012
AA Intelligence Index	not on OpenRouter	24.6
AA Coding Index	not on OpenRouter	57
AA Agentic Index	not on OpenRouter	28.7
Max output tokens	not on OpenRouter	32,768
API providers	not on OpenRouter	1
Tool calling	not on OpenRouter	Yes
Reasoning mode	not on OpenRouter	Yes

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

Ling-3.0-flash-VL $0.24

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

6.5 M13 K

Qwen3.8-Flash-Next-GSQ-RCO-GGUF Ling-3.0-flash-VL

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

Ling-3.0-flash-VL · fp16 293.9 GB / 24 GB

❌ Won’t fit