DeepSeek VL2 vs LFM3-VL-2B
LFM3-VL-2B leads the LLM Stats Score 15.5 to 2.3.
DeepSeek · Liquid AI · Updated for 2026
Which is better?
LFM3-VL-2B leads the overall LLM Stats Score 15.5 to 2.3, ranking #265 overall.
In the 9 individual benchmarks reported for both models, LFM3-VL-2B wins 9; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek VL2
- you are already invested in the DeepSeek ecosystem
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 value its reported benchmark strengths — it wins 9 of 9 exact shared results
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
14 reported for DeepSeek VL2 · 41 for LFM3-VL-2B
DeepSeek VL2 outperforms in 0 benchmarks, while LFM3-VL-2B is better at 9 benchmarks (ChartQA, DocVQA, InfoVQA, MMBench-V1.1, MME, MMStar, OCRBench, RealWorldQA, TextVQA).
LFM3-VL-2B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek VL2 has 25.1B more parameters than LFM3-VL-2B, making it 1306.3% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek VL2 specifies input context (129,280 tokens). Only DeepSeek VL2 specifies output context (129,280 tokens).
Input capabilities
Documented input modalities across available providers
Both DeepSeek VL2 and LFM3-VL-2B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek VL2
LFM3-VL-2B
License
Usage and distribution terms
DeepSeek VL2 is licensed under deepseek, while LFM3-VL-2B uses LFM Open License v1.0.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
LFM Open License v1.0
Open weights
Release Timeline
When each model was launched
DeepSeek VL2 was released on 2024-12-13, while LFM3-VL-2B was released on 2026-10-27.
LFM3-VL-2B is 23 months newer than DeepSeek VL2.
Dec 13, 2024
1.9 years ago
Oct 27, 2026
1 weeks ago
1.9yr newerKnowledge 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 DeepSeek VL2 and LFM3-VL-2B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek VL2 vs LFM3-VL-2B.