LFM3-VL-2B vs Phi 4
LFM3-VL-2B leads the LLM Stats Score 15.5 to 4.9.
Liquid AI · Microsoft · Updated for 2026
Which is better?
LFM3-VL-2B leads the overall LLM Stats Score 15.5 to 4.9, ranking #265 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose LFM3-VL-2B
- overall performance matters — it scores 15.5 and ranks #265 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Oct 2026
Choose Phi 4
- you want predictable pricing at $0.07/M input and $0.14/M output
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 · 13 for Phi 4
LFM3-VL-2B and Phi 4don'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
Phi 4 has 12.8B more parameters than LFM3-VL-2B, making it 665.6% larger.
Context Window
Maximum input and output token capacity
Only Phi 4 specifies input context (16,384 tokens). Only Phi 4 specifies output context (16,384 tokens).
Input capabilities
Documented input modalities across available providers
LFM3-VL-2B supports multimodal inputs, whereas Phi 4 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
Phi 4
License
Usage and distribution terms
LFM3-VL-2B is licensed under LFM Open License v1.0, while Phi 4 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
LFM Open License v1.0
Open weights
MIT
Open weights
Release Timeline
When each model was launched
LFM3-VL-2B was released on 2026-10-27, while Phi 4 was released on 2024-12-12.
LFM3-VL-2B is 23 months newer than Phi 4.
Oct 27, 2026
5 days ago
1.9yr newerDec 12, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Phi 4 has a documented knowledge cutoff of 2024-06-01, while LFM3-VL-2B's cutoff date is not specified.
We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without LFM3-VL-2B's cutoff date.
—
Jun 2024
Outputs Comparison
Judge for yourself.
Run your own prompts against LFM3-VL-2B and Phi 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about LFM3-VL-2B vs Phi 4.