LFM3-1.7B vs Mercury 3
Mercury 3 leads the LLM Stats Score 35.9 to 25.0.
Liquid AI · Inception · Updated for 2026
Which is better?
Mercury 3 leads the overall LLM Stats Score 35.9 to 25.0, ranking #105 overall.
In the 3 individual benchmarks reported for both models, Mercury 3 wins 3; 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
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
Choose Mercury 3
- overall performance matters — it scores 35.9 and ranks #105 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
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 · 12 for Mercury 3
LFM3-1.7B outperforms in 0 benchmarks, while Mercury 3 is better at 3 benchmarks (AA-LCR, GPQA, IFBench).
Mercury 3 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Mercury 3 specifies input context (1,000,000 tokens). Only Mercury 3 specifies output context (131,072 tokens).
License
Usage and distribution terms
LFM3-1.7B is licensed under LFM Open License v1.0, while Mercury 3 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
LFM Open License v1.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
LFM3-1.7B was released on 2026-10-27, while Mercury 3 was released on 2026-10-19.
LFM3-1.7B is 0 month newer than Mercury 3.
Oct 27, 2026
1 weeks ago
1w newerOct 19, 2026
2 weeks 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 Mercury 3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about LFM3-1.7B vs Mercury 3.