Deploy QwQ 32B
Text & ChatQwQ 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
| Model | GPU | VRAM | Price | Action |
|---|---|---|---|---|
QwQ 32B 32B (Math/Logic) | RTX A6000 | 48 GB | $0.66/hr | Deploy |
Prices include the service fee. Charges follow actual running time.
Requirements
ModelPilot assigns a 48GB cloud GPU to this deployment. Actual local VRAM requirements vary with model variant, precision, quantization, resolution, and workflow settings.
On ModelPilot, deploy on a dedicated cloud GPU (up to 80GB VRAM) starting at $0.66/hr with no setup required.
Use Cases
- ✓Mathematical proofs and calculations
- ✓Competitive programming
- ✓Logic puzzles and formal reasoning
- ✓Scientific computation
Related Models
Frequently Asked Questions
How much GPU memory is allocated for QwQ 32B?
The listed ModelPilot deployment uses a 48GB cloud GPU. Local memory needs can vary with precision, quantization, and workflow settings.
How much does it cost to run QwQ 32B?
Starting at $0.66/hr on a dedicated GPU. Charges are calculated from actual running time, 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?
It depends on the selected variant, precision, quantization, and workflow settings. Compare the variants below with your available VRAM; the table shows ModelPilot's cloud GPU allocation, not a universal local minimum.
Ready to deploy QwQ 32B?
Pick your GPU and have it running in minutes. No infrastructure setup required.