LFM3-1.7B vs Phi-3.5-MoE-instruct
LFM3-1.7B leads the LLM Stats Score 25.0 to 1.4.
Liquid AI · Microsoft · Updated for 2026
Which is better?
LFM3-1.7B leads the overall LLM Stats Score 25.0 to 1.4, ranking #191 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 #191 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 Phi-3.5-MoE-instruct
- you are already invested in the Microsoft 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 · 31 for Phi-3.5-MoE-instruct
LFM3-1.7B outperforms in 1 benchmarks (GPQA), while Phi-3.5-MoE-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
Phi-3.5-MoE-instruct has 58.3B more parameters than LFM3-1.7B, making it 3368.2% larger.
License
Usage and distribution terms
LFM3-1.7B is licensed under LFM Open License v1.0, while Phi-3.5-MoE-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
LFM Open License v1.0
Open weights
MIT
Open weights
Release Timeline
When each model was launched
LFM3-1.7B was released on 2026-10-27, while Phi-3.5-MoE-instruct was released on 2024-08-23.
LFM3-1.7B is 27 months newer than Phi-3.5-MoE-instruct.
Oct 27, 2026
1 weeks ago
2.2yr newerAug 23, 2024
2.2 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 Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about LFM3-1.7B vs Phi-3.5-MoE-instruct.