Qwen3-1.7B vs Llama-3.2-3B-Instruct

Specs, VRAM requirements and download trends — updated 24 October 2026.

Qwen · A · Open weights
Params
2.0 B
Context
40,960
30d
4.1 M
apache-2.0 · commercial OK
meta-llama · B · Open weights
Params
3.2 B
Context
—
30d
1.1 M
llama3.2 licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-1.7B Llama-3.2-3B-Instruct
Deployment Open weights Open weights · also via API
Parameters 2.0 B 3.2 B
Architecture Qwen3ForCausalLM LlamaForCausalLM
Context length 40,960 80,000
Licence apache-2.0 llama3.2
Commercial use Allowed Conditional
Languages — 8
Downloads 30d 4,136,449 1,112,418
Downloads all time 66.7 M 50.4 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 $0.051
API output price / 1M tokens not on OpenRouter $0.34
Est. cost per 1M input + 1M output tokens not on OpenRouter $0.39
Cached input / 1M tokens not on OpenRouter —
AA Intelligence Index not on OpenRouter 5.7
AA Coding Index not on OpenRouter —
AA Agentic Index not on OpenRouter —
Max output tokens not on OpenRouter 72,000
API providers not on OpenRouter 2
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-3.2-3B-Instruct $0.39

Download trend

Daily snapshots, last 89 days (28 Jul – 24 Oct)

7.8 M954 K
Qwen3-1.7B Llama-3.2-3B-Instruct

VRAM side by side

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

Qwen3-1.7B · fp16 5.3 GB / 24 GB
✅ Runs comfortably
Llama-3.2-3B-Instruct · fp16 8.0 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons