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Qwen3

Alibaba · 2025 · Hybrid reasoning · dense & MoE

Think when you need it, answer fast when you don’t. Qwen3 switches thinking/non-thinking modes for coding, math, and 119 languages, from 0.6B on a phone to 30B-A3B MoE on a workstation.

Maker
Alibaba
Architecture
Hybrid reasoning · dense & MoE
Fits from
Phone / edge · 4 GB+ RAM
Context
up to 33K
Runs
Local Intelligence
ReasoningCodingMultilingualMath & code119 languagesThink / fast modes

Sizes

Qwen3 0.6BF16

requires 5 GB+ memory · 33K context · Phone / edge

1.5 GBWeights
Qwen3 1.7BF16

requires 4 GB+ memory · 33K context · Phone / edge

1.1 GBWeights
Qwen3 4BQ4_K_M

requires 6 GB+ memory · 33K context · Phone / edge

2.5 GBWeights
Qwen3 8BQ4_K_M

requires 10 GB+ memory · 33K context · Laptop

5 GBWeights
Qwen3 14BQ4_K_M

requires 16 GB+ memory · 33K context · Desktop

9 GBWeights
Qwen3 30B-A3BQ4_K_M

requires 32 GB+ memory · 33K context · Workstation

20 GBWeights

Memory at context length

Approximate working set for Qwen3 1.7B as context grows.

4K
1.4 GB
8K
1.5 GB
16K
1.5 GB
33K
1.6 GB