LFM3-VL-2B vs MAI-Code-1.1-Flash
MAI-Code-1.1-Flash leads the LLM Stats Score 27.6 to 15.5.
Liquid AI · Microsoft · Updated for 2026
Which is better?
MAI-Code-1.1-Flash leads the overall LLM Stats Score 27.6 to 15.5, ranking #171 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-Code-1.1-Flash
- overall performance matters — it scores 27.6 and ranks #171 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 · 2 for MAI-Code-1.1-Flash
LFM3-VL-2B and MAI-Code-1.1-Flashdon'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-Code-1.1-Flash has 136.1B more parameters than LFM3-VL-2B, making it 7087.5% larger.
Context Window
Maximum input and output token capacity
Only MAI-Code-1.1-Flash specifies input context (256,000 tokens).
Input capabilities
Documented input modalities across available providers
Both LFM3-VL-2B and MAI-Code-1.1-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
LFM3-VL-2B
MAI-Code-1.1-Flash
License
Usage and distribution terms
LFM3-VL-2B is licensed under LFM Open License v1.0, while MAI-Code-1.1-Flash 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-Code-1.1-Flash was released on 2026-08-11.
LFM3-VL-2B is 3 months newer than MAI-Code-1.1-Flash.
Oct 27, 2026
1 weeks ago
2mo newerAug 11, 2026
2 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-Code-1.1-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about LFM3-VL-2B vs MAI-Code-1.1-Flash.