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Deploy QwQ 32B

Text & Chat

QwQ is a 32B reasoning model from Alibaba specialized in math and logic. It excels at mathematical proofs, competitive programming, and structured reasoning tasks where precision matters more than general knowledge.

Deploy QwQ 32B in minutes

Starting at $0.66/hr on dedicated GPU

Specifications

ModelGPUVRAMPriceAction
QwQ 32B
32B (Math/Logic)
RTX A600048 GB$0.66/hrDeploy

Prices include 30% service fee. Billed per minute while running.

Requirements

QwQ 32B requires 48GB VRAM. Consumer GPUs like the RTX 5080 (16GB) or RTX 4090 (24GB) cannot run this model.

On ModelPilot, deploy on a dedicated cloud GPU (up to 80GB VRAM) starting at $0.66/hr with no setup required.

Includes OpenWebUI chat interface and OpenAI-compatible API endpoint.

Use Cases

  • Mathematical proofs and calculations
  • Competitive programming
  • Logic puzzles and formal reasoning
  • Scientific computation

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Frequently Asked Questions

How much VRAM does QwQ 32B need?

QwQ 32B requires 48GB VRAM.

How much does it cost to run QwQ 32B?

Starting at $0.66/hr on a dedicated GPU. Billed per minute while running, with auto-stop when credits run out.

How long does QwQ 32B take to deploy?

Text models typically deploy in 5–15 minutes including model download.

Can I run QwQ 32B on my local GPU?

QwQ 32B requires 48GB+ VRAM, which exceeds most consumer GPUs. Cloud GPUs (A6000 48GB, A100 80GB) are recommended.

Ready to deploy QwQ 32B?

Pick your GPU and have it running in minutes. No infrastructure setup required.