LFM3-VL-2B vs Qwen3.8-27B
Qwen3.8-27B leads the LLM Stats Score 44.0 to 15.5.
Liquid AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8-27B leads the overall LLM Stats Score 44.0 to 15.5, ranking #56 overall.
In the 4 individual benchmarks reported for both models, Qwen3.8-27B wins 4; 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 LFM3-VL-2B
- you want the most recent training data — it shipped Oct 2026
Choose Qwen3.8-27B
- overall performance matters — it scores 44.0 and ranks #56 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
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 · 26 for Qwen3.8-27B
LFM3-VL-2B outperforms in 0 benchmarks, while Qwen3.8-27B is better at 4 benchmarks (CharXiv-R, ERQA, MathVision, RealWorldQA).
Qwen3.8-27B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3.8-27B has 25.9B more parameters than LFM3-VL-2B, making it 1346.9% larger.
Context Window
Maximum input and output token capacity
Only Qwen3.8-27B specifies input context (262,144 tokens). Only Qwen3.8-27B specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Both LFM3-VL-2B and Qwen3.8-27B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
LFM3-VL-2B
Qwen3.8-27B
License
Usage and distribution terms
LFM3-VL-2B is licensed under LFM Open License v1.0, while Qwen3.8-27B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
LFM Open License v1.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
LFM3-VL-2B was released on 2026-10-27, while Qwen3.8-27B was released on 2026-08-14.
LFM3-VL-2B is 2 months newer than Qwen3.8-27B.
Oct 27, 2026
5 days ago
2mo newerAug 14, 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 Qwen3.8-27B side-by-side, then vote on the output you prefer.
FAQ
Common questions about LFM3-VL-2B vs Qwen3.8-27B.