👁 Alibaba
Alibaba
Qwen 3 32B
Frontier
4.2MDownloads708LikesApr 2025Released131K tokensContextApache 2.0License95 ExceptionalQuality
Qwen 3 32B (32B parameters) requires approximately 25.2 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 29 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Qwen 3 32B on your machine.
Run
ollama run qwen3:32bQuick specs
Parameters32B
Architecturedense
Context131K tokens
Modalitytext
Min RAM12.5 GB
Rec. RAM19.5 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Chat✓ Reasoning
About this model
- •Uniquely support of seamless switching between thinking mode: (for complex logical reasoning, math, and coding) and non-thinking mode (for...
- •Significantly enhancement in its reasoning capabilities: , surpassing previous QwQ (in thinking mode) and Qwen2.5 instruct models (in non-thinking...
- •Superior human preference alignment: , excelling in creative writing, role-playing, multi-turn dialogues, and instruction following, to deliver a...
- •Expertise in agent capabilities: , enabling precise integration with external tools in both thinking and unthinking modes and achieving leading...
- •Support of 100+ languages and dialects: with strong capabilities for multilingual instruction following and translation
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Your hardware
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Best budgetS
Mac mini M4 64GB~$1,099 — 9 tok/s
Best overallS
NVIDIA A100 40GB~$10,000 — 73 tok/sBest hardware
Top picks for Qwen 3 32B
Run this model
Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.5 GB | Low | — |
Q3_K_S | 3 | 15.7 GB | Low | — |
NVFP4 | 4 | 17.9 GB | Medium | — |
Q4_K_M | 4 | 19.5 GB | Medium | — |
Q5_K_M | 5 | 23.0 GB | High | — |
Q6_K | 6 | 26.2 GB | High | — |
Q8_0 | 8 | 34.2 GB | Very High | — |
F16 | 16 | 65.6 GB | Maximum | — |
Quality benchmarks
Qwen 3 32B benchmark scores
Coding
SWE-bench Verified—
HumanEval+—
Aider Polyglot—
LiveCodeBench65.7%
Reasoning
MMLU-Pro—
GPQA Diamond68.4%
MATH-50097.2%
ARC Challenge—
General
Chatbot Arena—
IFEval85.0%
Source: official · 2025-05-15
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights19.5 GB
KV Cache3.9 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Qwen 3 32B
See also