Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF vs Qwen3.8-Flash-Next

Specs, VRAM requirements and download trends — updated 23 October 2026.

cdiamond · A · Open weights
Params
—
Context
—
30d
2.3 M
apache-2.0 · commercial OK
Qwen · B · Open weights
Params
180.0 B
Context
—
30d
2.7 M

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF Qwen3.8-Flash-Next
Deployment Open weights Open weights · also via API
Parameters — 180.0 B
Architecture — Qwen4ExpForConditionalGeneration
Context length — 1,000,000
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages — —
Downloads 30d 2,316,717 2,706,809
Downloads all time 7.4 M 3.5 M
Quantizations on the Hub GGUF SAFETENSORS
Gated No No
First seen on the Hub 2026-08-17 2026-08-24
API input price / 1M tokens not on OpenRouter $0.15
API output price / 1M tokens not on OpenRouter $0.47
Est. cost per 1M input + 1M output tokens not on OpenRouter $0.62
Cached input / 1M tokens not on OpenRouter $0.016
AA Intelligence Index not on OpenRouter —
AA Coding Index not on OpenRouter —
AA Agentic Index not on OpenRouter —
Max output tokens not on OpenRouter 131,072
API providers not on OpenRouter 1
Tool calling not on OpenRouter Yes
Reasoning mode not on OpenRouter Yes

API cost

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

Qwen3.8-Flash-Next $0.62

Download trend

Daily snapshots, last 52 days (2 Sep – 23 Oct)

5.0 M830 K
Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF Qwen3.8-Flash-Next

VRAM side by side

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

Qwen3.8-Flash-Next · fp16 423.5 GB / 24 GB
❌ Won’t fit

Adjacent comparisons