DeepSeek R1 Distill Llama 70B vs LFM3-1.7B
LFM3-1.7B leads the LLM Stats Score 25.0 to 13.9.
DeepSeek · Liquid AI · Updated for 2026
Which is better?
LFM3-1.7B leads the overall LLM Stats Score 25.0 to 13.9, ranking #192 overall.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Llama 70B 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 Llama 70B
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
Choose LFM3-1.7B
- overall performance matters — it scores 25.0 and ranks #192 on LLM Stats
- 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 Llama 70B · 20 for LFM3-1.7B
DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (GPQA), while LFM3-1.7B is better at 0 benchmarks.
DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek R1 Distill Llama 70B has 68.9B more parameters than LFM3-1.7B, making it 3980.9% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B 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 Llama 70B 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 Llama 70B.
Jan 20, 2025
1.8 years ago
Oct 27, 2026
6 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 Llama 70B and LFM3-1.7B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs LFM3-1.7B.