DeepSeek R1 Distill Qwen 1.5B vs LFM3-1.7B
LFM3-1.7B leads the LLM Stats Score 25.0 to -3.6.
DeepSeek · Liquid AI · Updated for 2026
Which is better?
LFM3-1.7B leads the overall LLM Stats Score 25.0 to -3.6, 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 DeepSeek R1 Distill Qwen 1.5B
- you are already invested in the DeepSeek ecosystem
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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Qwen 1.5B · 20 for LFM3-1.7B
DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while LFM3-1.7B is better at 1 benchmark (GPQA).
LFM3-1.7B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek R1 Distill Qwen 1.5B has 0.1B more parameters than LFM3-1.7B, making it 2.9% larger.
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while LFM3-1.7B uses LFM Open License v1.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
LFM Open License v1.0
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while LFM3-1.7B was released on 2026-10-27.
LFM3-1.7B is 22 months newer than DeepSeek R1 Distill Qwen 1.5B.
Jan 20, 2025
1.8 years ago
Oct 27, 2026
5 days ago
1.8yr newerKnowledge 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 DeepSeek R1 Distill Qwen 1.5B and LFM3-1.7B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 1.5B vs LFM3-1.7B.