LFM3-VL-2B vs SWE-2
SWE-2 leads the LLM Stats Score 47.9 to 15.5.
Liquid AI · Cognition · Updated for 2026
Which is better?
SWE-2 leads the overall LLM Stats Score 47.9 to 15.5, ranking #34 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose LFM3-VL-2B
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
Choose SWE-2
- overall performance matters — it scores 47.9 and ranks #34 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
At a glance
The differences that matter most.
Individual benchmarks
41 reported for LFM3-VL-2B · 4 for SWE-2
LFM3-VL-2B and SWE-2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Input capabilities
Documented input modalities across available providers
LFM3-VL-2B supports multimodal inputs, whereas SWE-2 does not.
LFM3-VL-2B can handle both text and other forms of data like images, making it suitable for multimodal applications.
LFM3-VL-2B
SWE-2
License
Usage and distribution terms
LFM3-VL-2B is licensed under LFM Open License v1.0, while SWE-2 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-VL-2B was released on 2026-10-27, while SWE-2 was released on 2026-09-10.
LFM3-VL-2B is 2 months newer than SWE-2.
Oct 27, 2026
1 weeks ago
1mo newerSep 10, 2026
1 months 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-VL-2B and SWE-2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about LFM3-VL-2B vs SWE-2.