Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF vs DeepSeek-V4.1-Flash

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

cdiamond · A · Open weights

Params

—

Context

—

30d

2.4 M

apache-2.0 · commercial OK

deepseek-ai · B · Open weights

Params

763.2 B

Context

—

30d

1.5 M

mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification	Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF	DeepSeek-V4.1-Flash
Deployment	Open weights	Open weights · also via API
Parameters	—	763.2 B
Architecture	—	DeepseekV41ForCausalLM
Context length	—	1,048,576
Licence	apache-2.0	mit
Commercial use	Allowed	Allowed
Languages	—	—
Downloads 30d	2,369,313	1,478,503
Downloads all time	7.5 M	2.1 M
Quantizations on the Hub	GGUF	SAFETENSORS
Gated	No	No
First seen on the Hub	2026-08-17	2026-09-10
API input price / 1M tokens	not on OpenRouter	$0.02
API output price / 1M tokens	not on OpenRouter	$1.00
Est. cost per 1M input + 1M output tokens	not on OpenRouter	$1.02
Cached input / 1M tokens	not on OpenRouter	$0.015
AA Intelligence Index	not on OpenRouter	24.7
AA Coding Index	not on OpenRouter	—
AA Agentic Index	not on OpenRouter	—
Max output tokens	not on OpenRouter	943,718
API providers	not on OpenRouter	33
Tool calling	not on OpenRouter	Yes
Reasoning mode	not on OpenRouter	Yes

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

DeepSeek-V4.1-Flash $1.02

Daily snapshots, last 53 days (2 Sep – 24 Oct)

5.0 M798 K

Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF DeepSeek-V4.1-Flash

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

DeepSeek-V4.1-Flash · fp16 676.3 GB / 24 GB

❌ Won’t fit