LFM2.5-VL-3B vs Phi-3.5-vision-instruct
LFM2.5-VL-3B shows notably better performance in the majority of benchmarks.
Liquid AI · Microsoft · Updated for 2026
Which is better?
LFM2.5-VL-3B outperforms in 2 benchmarks (POPE, TextVQA), while Phi-3.5-vision-instruct is better at 1 benchmark (ChartQA). LFM2.5-VL-3B shows notably better performance in the majority of benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose LFM2.5-VL-3B
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- you want the most recent training data — it shipped Aug 2026
Choose Phi-3.5-vision-instruct
- you are already invested in the Microsoft ecosystem
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
LFM2.5-VL-3B outperforms in 2 benchmarks (POPE, TextVQA), while Phi-3.5-vision-instruct is better at 1 benchmark (ChartQA).
LFM2.5-VL-3B shows notably better performance in the majority of benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
Phi-3.5-vision-instruct has 1.1B more parameters than LFM2.5-VL-3B, making it 34.5% larger.
Input Capabilities
Supported data types and modalities
Both LFM2.5-VL-3B and Phi-3.5-vision-instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
LFM2.5-VL-3B
Phi-3.5-vision-instruct
License
Usage and distribution terms
LFM2.5-VL-3B is licensed under LFM Open License v1.0, while Phi-3.5-vision-instruct 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
LFM2.5-VL-3B was released on 2026-08-12, while Phi-3.5-vision-instruct was released on 2024-08-23.
LFM2.5-VL-3B is 24 months newer than Phi-3.5-vision-instruct.
Aug 12, 2026
1 weeks ago
2.0yr newerAug 23, 2024
2.0 years 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 LFM2.5-VL-3B and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about LFM2.5-VL-3B vs Phi-3.5-vision-instruct.