Claude 3.5 Haiku vs LFM3-1.7B
LFM3-1.7B leads the LLM Stats Score 25.0 to 4.6.
Anthropic · Liquid AI · Updated for 2026
Which is better?
LFM3-1.7B leads the overall LLM Stats Score 25.0 to 4.6, ranking #192 overall.
In the 2 individual benchmarks reported for both models, LFM3-1.7B wins 2; 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 Claude 3.5 Haiku
- you want predictable pricing at $0.80/M input and $4.00/M output
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 2 of 2 exact shared results
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for Claude 3.5 Haiku · 20 for LFM3-1.7B
Claude 3.5 Haiku outperforms in 0 benchmarks, while LFM3-1.7B is better at 2 benchmarks (GPQA, SWE-Bench Verified).
LFM3-1.7B 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 Claude 3.5 Haiku specifies input context (200,000 tokens). Only Claude 3.5 Haiku specifies output context (200,000 tokens).
License
Usage and distribution terms
Claude 3.5 Haiku is licensed under a proprietary license, 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.
Proprietary
Closed source
LFM Open License v1.0
Open weights
Release Timeline
When each model was launched
Claude 3.5 Haiku was released on 2024-10-22, while LFM3-1.7B was released on 2026-10-27.
LFM3-1.7B is 25 months newer than Claude 3.5 Haiku.
Oct 22, 2024
2.0 years ago
Oct 27, 2026
4 days ago
2.0yr 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 Claude 3.5 Haiku and LFM3-1.7B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.5 Haiku vs LFM3-1.7B.