Qwen3.8-27B vs Qwen2.5-VL-72B-Instruct

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

Qwen · A · Open weights
Params
27.8 B
Context
—
30d
7.7 M
apache-2.0 · commercial OK
Qwen · B · Open weights
Params
73.4 B
Context
128,000
30d
89 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3.8-27B Qwen2.5-VL-72B-Instruct
Deployment Open weights · also via API Open weights · also via API
Parameters 27.8 B 73.4 B
Architecture Qwen3_5ForConditionalGeneration Qwen2_5_VLForConditionalGeneration
Context length 262,144 128,000
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages — 1
Downloads 30d 7,710,011 89,270
Downloads all time 17.7 M 7.7 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-08-05 2025-01-27
API input price / 1M tokens $0.20 $0.80
API output price / 1M tokens $2.50 $1.00
Est. cost per 1M input + 1M output tokens $2.70 $1.80
Cached input / 1M tokens $0.09 $0.40
AA Intelligence Index 33.7 —
AA Coding Index 68.1 —
AA Agentic Index 45.8 —
Max output tokens 235,929 115,200
API providers 21 1
Tool calling Yes No
Reasoning mode Yes No

API cost

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

Qwen3.8-27B $2.70
Qwen2.5-VL-72B-Instruct $1.80

Qwen2.5-VL-72B-Instruct is 1.5× cheaper at list price.

Download trend

Daily snapshots, last 66 days (20 Aug – 24 Oct)

7.8 M59 K
Qwen3.8-27B Qwen2.5-VL-72B-Instruct

VRAM side by side

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

Qwen3.8-27B · fp16 65.8 GB / 24 GB
❌ Won’t fit
Qwen2.5-VL-72B-Instruct · fp16 @ 125K ctx 334.1 GB / 24 GB
❌ Won’t fit

Adjacent comparisons