The real cost to run Qwen3.6 27B DSV4Pro Thinking Distill

nerkyor · 26.9B parameters · 8.2K context · commercial OK

Qwen3.6 27B DSV4Pro Thinking Distill — 26.9B params (nerkyor). Auto-indexed from the Hugging Face Hub (16,730 downloads). Parameter count is exact; context window, download size, and quantizations are estimates.

What it costs to run Qwen3.6 27B DSV4Pro Thinking Distill — $0 markup

On your own machine — $0. Runs free locally if you have about 31 GB of VRAM at Q4_K_M (point Spanvero at LM Studio, Ollama, or llama.cpp).
On your own rented GPU — from $0.49/hr. NVIDIA RTX A6000 48GB at the direct RunPod price (≈ $0.33 a session), $0 markup.
Via your own API key — $0.32/1M tokens (blended input + output). No GPU to manage (rough estimate for this size).

Key facts

Parameters	26.9B
Context window	8.2K tokens
Recommended quant	Q4_K_M
VRAM to run	~31 GB (at Q4_K_M, 8.2K context)
Download size	~16 GB
License	Commercial use OK

Open the free Spanvero advisor → for the live, interactive math for your exact workload and hardware.

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Gemma 3 27B — 27B, Google
medgemma 27b text it — 27B, google

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