DeepSeek-V3.2 vs qwen3.8-flash-next-gguf

Specs, VRAM requirements and download trends — updated 10 November 2026.

deepseek-ai · A · Open weights
Params
685.4 B
Context
163,840
30d
7.6 M
mit · commercial OK
antirez · B · Open weights
Params
180.0 B
Context
—
30d
251 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification DeepSeek-V3.2 qwen3.8-flash-next-gguf
Deployment Open weights · also via API Open weights
Parameters 685.4 B 180.0 B
Architecture DeepseekV32ForCausalLM —
Context length 163,840 —
Licence mit other
Commercial use Allowed Unknown
Languages — —
Downloads 30d 7,616,440 251,356
Downloads all time 35.7 M 442 K
Quantizations on the Hub SAFETENSORS GGUF
Gated No No
First seen on the Hub 2025-12-01 2026-09-14
API input price / 1M tokens $0.26 not on OpenRouter
API output price / 1M tokens $0.38 not on OpenRouter
Est. cost per 1M input + 1M output tokens $0.64 not on OpenRouter
Cached input / 1M tokens $0.13 not on OpenRouter
AA Intelligence Index — not on OpenRouter
AA Coding Index 44.2 not on OpenRouter
AA Agentic Index — not on OpenRouter
Max output tokens 147,456 not on OpenRouter
API providers 7 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

DeepSeek-V3.2 $0.64

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

7.6 M180 K
DeepSeek-V3.2 qwen3.8-flash-next-gguf

VRAM side by side

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

qwen3.8-flash-next-gguf · Q4 222.5 GB / 24 GB
❌ Won’t fit
DeepSeek-V3.2 · fp16 @ 160K ctx 2,815.1 GB / 24 GB
❌ Won’t fit

Adjacent comparisons