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Figure 18: Qwen3 0.6B · diagram by Sebastian Raschka · click to zoom
DenseAlibaba Cloud 🇨🇳 · April 28, 2025

Qwen3 (0.6B)

Tiny current-generation Qwen model that trades width for more depth and a low memory footprint.

Key detail

Deeper than Llama 3.2 1B and unusually practical for local experiments and teaching.

Parameters

600M

Context

32K

KV / token

112 KiB

Fact sheet

Scale
0.6B parameters
Context window
32,768 tokens
Decoder type
Dense
Attention
GQA
Layer mix
28 GQA
KV cache / token (bf16)
112 KiB · Moderate
License
Apache License 2.0
Released

Efficiency

Parameters active per token

100%

Dense: every weight runs for every token.

KV cache per token (bf16)

112 KiB

Smaller than 41% of models in the atlas. How it’s calculated

AA Intelligence Index v4.3.2

Source

4.8

Scientific
2.5

Architecture concepts

Use the ← and → keys to step through releases.

Similar architectures

  • Architecture diagram of Llama 3.2 (1B)

    Meta, released 2024-09-25. Dense decoder, 1B parameters, 128K context. Attention: GQA.

  • Architecture diagram of Antares (1B)

    Cisco, released 2026-07-21. Dense decoder, 1B parameters, 128K context. Attention: GQA with RoPE.

  • Architecture diagram of SmolLM3 (3B)

    Hugging Face, released 2025-06-19. Dense decoder, 3B parameters, 128K context. Attention: GQA with periodic NoPE layers.

  • Architecture diagram of Llama 3.2 (3B)

    Meta, released 2024-09-25. Dense decoder, 3B parameters, 128K context. Attention: GQA.

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