Qwen2.5-3B-Instruct vs LFM2.5-2.6B

Specs, VRAM requirements and download trends — updated 4 September 2026.

Qwen · A · Open weights
Params
3.1 B
Context
32,768
30d
2.6 M
LiquidAI · B · Open weights
Params
2.7 B
Context
131,072
30d
188 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-3B-Instruct LFM2.5-2.6B
Deployment Open weights Open weights · also via API
Parameters 3.1 B 2.7 B
Architecture Qwen2ForCausalLM Lfm2ForCausalLM
Context length 32,768 131,072
Licence other other
Commercial use Unknown Unknown
Languages 1 16
Downloads 30d 2,587,484 187,515
Downloads all time 125.6 M 204 K
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-09-17 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)

7.6 M183 K
Qwen2.5-3B-Instruct LFM2.5-2.6B

VRAM side by side

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

Qwen2.5-3B-Instruct · fp16 7.8 GB / 24 GB
✅ Runs comfortably
LFM2.5-2.6B · fp16 @ 128K ctx 12.9 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons