Qwen 3 32B — VRAM, Speed & Local Setup

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 28 kwietnia 2025

Model library → Qwen 3 → Qwen 3 32B

The largest dense Qwen 3 model. Exceptional reasoning with hybrid thinking. Rivals DeepSeek R1 671B distills at a fraction of the compute. For RTX 4090 or Apple M2/M3 Max users.

Qwen 3 32B needs about 21 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache. On Apple Silicon that figure comes out of unified memory.

Specifications

Parameters32 Billion
Context window128,000
ArchitectureDense
ProviderAlibaba Cloud
LicenceApache 2.0
Specified atQ4_K_M
System RAM32 GB
Record updated2025-04-28

Licence

Apache-2.0 — commercial use permitted. Commercial use permitted. No usage restrictions beyond attribution.

VRAM and Speed by Quantization

Modelled on a reference NVIDIA RTX 4090 (24 GB), at 8K context. Speed figures are ESTIMATES from the memory-bandwidth roofline described on the methodology page, not benchmarks we ran — rows marked measured come from published or reader-submitted runs. VRAM here includes the KV cache, so it reads higher than the headline figure above, which does not.

QuantWeightsVRAM neededEst. speedFit on 24 GB
Q2_K10.8 GB13.7 GB~56 tok/s (est.)Fits comfortably
Q3_K_M14.0 GB16.9 GB~45 tok/s (est.)Fits comfortably
Q4_K_M19.8 GB22.8 GB~33 tok/s (est.)Tight fit
Q5_K_M23.2 GB26.2 GB~4 tok/s (est.)Offloads to system RAM (slow)
Q6_K26.9 GB29.8 GB~4 tok/s (est.)Offloads to system RAM (slow)
Q8_034.8 GB37.8 GB~3 tok/s (est.)Offloads to system RAM (slow)
F1665.6 GB68.5 GB—Won't fit

Want the memory numbers alone, at every quantization level and your own context length? Use the Qwen 3 32B VRAM calculator.

Buy This HardwareAMD Radeon RX 7900 XTX 24GB — 24 GB VRAM · 355 W board powerDeploy in the Cloud NowRTX 4090 on RunPod — from $0.34/hr · rate checked 2026-07

or compare on Vast.ai from $0.35/hr (typical low · varies)

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Recommended GPU

The cheapest catalogued GPU that runs Qwen 3 32B is the AMD Radeon RX 7900 XTX (24 GB).

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AMD Radeon RX 7900 XTX 24GB
24 GB VRAM · 355 W board power
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

How to Run Qwen 3 32B

Install Ollama, then run:

ollama run qwen3:32b

Weights on Hugging Face: Qwen/Qwen3-32B.

Best for: complex reasoning, coding, math, agents.

Can I Run Qwen 3 32B on My GPU?

Other Qwen 3 Sizes

Qwen 3 32B — Frequently Asked Questions

How much VRAM does Qwen 3 32B need?
About 21 GB at Q4_K_M — quantized weights plus framework overhead, before any KV cache. The cache grows with context length and is added on top; the table above folds it in. Apple Silicon counts unified memory toward the same figure.
Does Qwen 3 32B run on an RTX 4090 (24 GB)?
Yes. Qwen 3 32B needs about 21 GB at Q4_K_M, inside a 24 GB card, at an estimated 33 tokens/sec.
How do I run Qwen 3 32B locally?
Install Ollama and run `ollama run qwen3:32b`. That pulls the weights and starts a local OpenAI-compatible endpoint; after the download nothing leaves the machine.
What other sizes does Qwen 3 come in?
Qwen 3 8B (6 GB), Qwen 3 14B (10 GB), Qwen 3 32B (21 GB), Qwen 3 30B-A3B (MoE) (19 GB), Qwen 3 235B-A22B (MoE) (143 GB). Every size shares the family's training and licence; the larger ones score higher and need proportionally more memory.

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