LFM3-VL-2B vs MAI-Thinking-1
MAI-Thinking-1 leads the LLM Stats Score 32.4 to 15.5.
Liquid AI · Microsoft · Updated for 2026
Which is better?
MAI-Thinking-1 leads the overall LLM Stats Score 32.4 to 15.5, ranking #132 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 MAI-Thinking-1
- overall performance matters — it scores 32.4 and ranks #132 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
41 reported for LFM3-VL-2B · 23 for MAI-Thinking-1
LFM3-VL-2B and MAI-Thinking-1don'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
Model Size
Parameter count comparison
MAI-Thinking-1 has 998.1B more parameters than LFM3-VL-2B, making it 51983.3% larger.
Input capabilities
Documented input modalities across available providers
LFM3-VL-2B supports multimodal inputs, whereas MAI-Thinking-1 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
MAI-Thinking-1
License
Usage and distribution terms
LFM3-VL-2B is licensed under LFM Open License v1.0, while MAI-Thinking-1 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 MAI-Thinking-1 was released on 2026-06-02.
LFM3-VL-2B is 5 months newer than MAI-Thinking-1.
Oct 27, 2026
1 weeks ago
4mo newerJun 2, 2026
5 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 MAI-Thinking-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about LFM3-VL-2B vs MAI-Thinking-1.