Qwen3-0.6B vs LFM2.5-2.6B

Specs, VRAM requirements and download trends — updated 4 September 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
2.7 B
Context
131,072
30d
188 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-0.6B LFM2.5-2.6B
Deployment Open weights Open weights · also via API
Parameters 750 M 2.7 B
Architecture Qwen3ForCausalLM Lfm2ForCausalLM
Context length 40,960 131,072
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages — 16
Downloads 30d 20,728,069 187,515
Downloads all time 261.3 M 204 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-04-27 2026-07-28
API input price / 1M tokens not on OpenRouter $0.35
API output price / 1M tokens not on OpenRouter $0.50
Est. cost per 1M input + 1M output tokens not on OpenRouter $0.85
Cached input / 1M tokens not on OpenRouter $0.04
AA Intelligence Index not on OpenRouter —
AA Coding Index not on OpenRouter 7.7
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

LFM2.5-2.6B $0.85

Download trend

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

31.2 M183 K
Qwen3-0.6B LFM2.5-2.6B

VRAM side by side

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

Qwen3-0.6B · fp16 2.3 GB / 24 GB
✅ Runs comfortably
LFM2.5-2.6B · fp16 @ 128K ctx 12.9 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons