Qwen3-0.6B vs LFM3-1.7B

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
LiquidAI · B · Open weights
Params
1.7 B
Context
262,144
30d
79 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-0.6B LFM3-1.7B
Deployment Open weights Open weights · also via API
Parameters 750 M 1.7 B
Architecture Qwen3ForCausalLM Lfm3ForCausalLM
Context length 40,960 262,144
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages — 16
Downloads 30d 20,728,069 78,750
Downloads all time 261.3 M 79 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-04-27 2026-10-23
API input price / 1M tokens not on OpenRouter $0.08
API output price / 1M tokens not on OpenRouter $0.20
Est. cost per 1M input + 1M output tokens not on OpenRouter $0.28
Cached input / 1M tokens not on OpenRouter $0.02
AA Intelligence Index not on OpenRouter —
AA Coding Index not on OpenRouter —
AA Agentic Index not on OpenRouter —
Max output tokens not on OpenRouter 8,192
API providers not on OpenRouter 1
Tool calling not on OpenRouter Yes
Reasoning mode not on OpenRouter Yes

API cost

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

LFM3-1.7B $0.28

Download trend

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

31.2 M66 K
Qwen3-0.6B LFM3-1.7B

VRAM side by side

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

Qwen3-0.6B · fp16 2.3 GB / 24 GB
✅ Runs comfortably
LFM3-1.7B · fp16 @ 256K ctx 12.6 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons