LFM3-1.7B vs Qwen3 VL 4B Thinking
LFM3-1.7B leads the LLM Stats Score 25.0 to 12.4.
Liquid AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
LFM3-1.7B leads the overall LLM Stats Score 25.0 to 12.4, ranking #191 overall.
In the 4 individual benchmarks reported for both models, LFM3-1.7B wins 3; 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 LFM3-1.7B
- overall performance matters — it scores 25.0 and ranks #191 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- you want the most recent training data — it shipped Oct 2026
Choose Qwen3 VL 4B Thinking
- you want predictable pricing at $0.10/M input and $1.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
20 reported for LFM3-1.7B · 48 for Qwen3 VL 4B Thinking
LFM3-1.7B outperforms in 3 benchmarks (IFEval, LiveCodeBench v6, Multi-IF), while Qwen3 VL 4B Thinking is better at 1 benchmark (GPQA).
LFM3-1.7B shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3 VL 4B Thinking has 2.3B more parameters than LFM3-1.7B, making it 131.2% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 4B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 4B Thinking specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3 VL 4B Thinking supports multimodal inputs, whereas LFM3-1.7B does not.
Qwen3 VL 4B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
LFM3-1.7B
Qwen3 VL 4B Thinking
License
Usage and distribution terms
LFM3-1.7B is licensed under LFM Open License v1.0, while Qwen3 VL 4B Thinking 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
LFM3-1.7B was released on 2026-10-27, while Qwen3 VL 4B Thinking was released on 2025-09-22.
LFM3-1.7B is 13 months newer than Qwen3 VL 4B Thinking.
Oct 27, 2026
1 weeks ago
1.1yr newerSep 22, 2025
1.1 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 LFM3-1.7B and Qwen3 VL 4B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about LFM3-1.7B vs Qwen3 VL 4B Thinking.