LFM3-1.7B vs Qwen2.5 14B Instruct
LFM3-1.7B leads the LLM Stats Score 25.0 to 3.2.
Liquid AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
LFM3-1.7B leads the overall LLM Stats Score 25.0 to 3.2, ranking #192 overall.
In the 1 individual benchmarks reported for both models, LFM3-1.7B wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose LFM3-1.7B
- overall performance matters — it scores 25.0 and ranks #192 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Oct 2026
Choose Qwen2.5 14B Instruct
- you are already invested in the Alibaba Cloud / Qwen Team ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
20 reported for LFM3-1.7B · 16 for Qwen2.5 14B Instruct
LFM3-1.7B outperforms in 1 benchmarks (GPQA), while Qwen2.5 14B Instruct is better at 0 benchmarks.
LFM3-1.7B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2.5 14B Instruct has 13.0B more parameters than LFM3-1.7B, making it 749.7% larger.
License
Usage and distribution terms
LFM3-1.7B is licensed under LFM Open License v1.0, while Qwen2.5 14B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
LFM Open License v1.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
LFM3-1.7B was released on 2026-10-27, while Qwen2.5 14B Instruct was released on 2024-09-19.
LFM3-1.7B is 26 months newer than Qwen2.5 14B Instruct.
Oct 27, 2026
4 days ago
2.1yr newerSep 19, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against LFM3-1.7B and Qwen2.5 14B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about LFM3-1.7B vs Qwen2.5 14B Instruct.