Qwen3.8-27B vs HunyuanOCR

Specs, VRAM requirements and download trends — updated 3 October 2026.

Qwen · A · Open weights
Params
27.8 B
Context
—
30d
7.7 M
apache-2.0 · commercial OK
tencent · B · Open weights
Params
1.1 B
Context
—
30d
852 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3.8-27B HunyuanOCR
Deployment Open weights · also via API Open weights
Parameters 27.8 B 1.1 B
Architecture Qwen3_5ForConditionalGeneration HunYuanVLForConditionalGeneration
Context length 262,144 —
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages — 3
Downloads 30d 7,710,011 852,035
Downloads all time 17.7 M 7.0 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-08-05 2025-11-18
API input price / 1M tokens $0.20 not on OpenRouter
API output price / 1M tokens $2.50 not on OpenRouter
Est. cost per 1M input + 1M output tokens $2.70 not on OpenRouter
Cached input / 1M tokens $0.09 not on OpenRouter
AA Intelligence Index 33.7 not on OpenRouter
AA Coding Index 68.1 not on OpenRouter
AA Agentic Index 45.8 not on OpenRouter
Max output tokens 235,929 not on OpenRouter
API providers 21 not on OpenRouter
Tool calling Yes not on OpenRouter
Reasoning mode Yes not on OpenRouter

API cost

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

Qwen3.8-27B $2.70

Download trend

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

7.8 M841 K
Qwen3.8-27B HunyuanOCR

VRAM side by side

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

HunyuanOCR · fp16 5.7 GB / 24 GB
✅ Runs comfortably
Qwen3.8-27B · fp16 65.8 GB / 24 GB
❌ Won’t fit

Adjacent comparisons