LFM2.5-2.6B vs Qwen3 VL 32B Thinking
LFM2.5-2.6B and Qwen3 VL 32B Thinking are closely matched at 19.0 and 23.6 on the LLM Stats Score.
Liquid AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
LFM2.5-2.6B and Qwen3 VL 32B Thinking are closely matched on the overall LLM Stats Score at 19.0 and 23.6.
In the 3 individual benchmarks reported for both models, Qwen3 VL 32B Thinking wins 2; 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 LFM2.5-2.6B
- you want the most recent training data — it shipped Aug 2026
Choose Qwen3 VL 32B Thinking
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
At a glance
The differences that matter most.
Individual benchmarks
9 reported for LFM2.5-2.6B · 47 for Qwen3 VL 32B Thinking
LFM2.5-2.6B outperforms in 1 benchmarks (Multi-IF), while Qwen3 VL 32B Thinking is better at 2 benchmarks (AIME 2025, LiveCodeBench v6).
Qwen3 VL 32B Thinking 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 32B Thinking has 30.3B more parameters than LFM2.5-2.6B, making it 1126.8% larger.
Input capabilities
Documented input modalities across available providers
Qwen3 VL 32B Thinking supports multimodal inputs, whereas LFM2.5-2.6B does not.
Qwen3 VL 32B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
LFM2.5-2.6B
Qwen3 VL 32B Thinking
License
Usage and distribution terms
LFM2.5-2.6B is licensed under LFM Open License v1.0, while Qwen3 VL 32B 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
LFM2.5-2.6B was released on 2026-08-04, while Qwen3 VL 32B Thinking was released on 2025-09-22.
LFM2.5-2.6B is 11 months newer than Qwen3 VL 32B Thinking.
Aug 4, 2026
1 months ago
10mo newerSep 22, 2025
12 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 LFM2.5-2.6B and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about LFM2.5-2.6B vs Qwen3 VL 32B Thinking.