Qwen3-0.6B vs Llama-3.2-1B-Instruct

Specs, VRAM requirements and download trends — updated 10 November 2026.

Qwen · A · Open weights
Params
750 M
Context
40,960
30d
20.7 M
apache-2.0 · commercial OK
meta-llama · B · Open weights
Params
1.2 B
Context
—
30d
1.3 M
llama3.2 licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-0.6B Llama-3.2-1B-Instruct
Deployment Open weights Open weights · also via API
Parameters 750 M 1.2 B
Architecture Qwen3ForCausalLM LlamaForCausalLM
Context length 40,960 60,000
Licence apache-2.0 llama3.2
Commercial use Allowed Conditional
Languages — 8
Downloads 30d 20,728,069 1,331,481
Downloads all time 261.3 M 109.8 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No Yes — accept licence
First seen on the Hub 2025-04-27 2024-09-18
API input price / 1M tokens not on OpenRouter $0.027
API output price / 1M tokens not on OpenRouter $0.20
Est. cost per 1M input + 1M output tokens not on OpenRouter $0.23
Cached input / 1M tokens not on OpenRouter —
AA Intelligence Index not on OpenRouter —
AA Coding Index not on OpenRouter —
AA Agentic Index not on OpenRouter —
Max output tokens not on OpenRouter 54,000
API providers not on OpenRouter 1
Tool calling not on OpenRouter No
Reasoning mode not on OpenRouter No

API cost

Estimated cost of 1M input + 1M output tokens via OpenRouter

Llama-3.2-1B-Instruct $0.23

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

31.2 M1.3 M
Qwen3-0.6B Llama-3.2-1B-Instruct

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

Qwen3-0.6B · fp16 2.3 GB / 24 GB
✅ Runs comfortably
Llama-3.2-1B-Instruct · fp16 3.4 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons