DeepSeek-V2.5 vs LFM3-VL-2B
LFM3-VL-2B leads the LLM Stats Score 15.5 to 7.6.
DeepSeek · Liquid AI · Updated for 2026
Which is better?
LFM3-VL-2B leads the overall LLM Stats Score 15.5 to 7.6, ranking #265 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V2.5
- you want predictable pricing at $0.14/M input and $0.28/M output
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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for DeepSeek-V2.5 · 41 for LFM3-VL-2B
DeepSeek-V2.5 and LFM3-VL-2Bdon'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
DeepSeek-V2.5 has 234.1B more parameters than LFM3-VL-2B, making it 12191.7% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).
Input capabilities
Documented input modalities across available providers
LFM3-VL-2B supports multimodal inputs, whereas DeepSeek-V2.5 does not.
LFM3-VL-2B can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V2.5
LFM3-VL-2B
License
Usage and distribution terms
DeepSeek-V2.5 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-V2.5 was released on 2024-05-08, while LFM3-VL-2B was released on 2026-10-27.
LFM3-VL-2B is 30 months newer than DeepSeek-V2.5.
May 8, 2024
2.5 years ago
Oct 27, 2026
6 days ago
2.5yr 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-V2.5 and LFM3-VL-2B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V2.5 vs LFM3-VL-2B.