LFM2.5-VL-3B vs Qwen3 VL 235B A22B Thinking
Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.
Liquid AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
LFM2.5-VL-3B outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 14 benchmarks (BLINK, Hallusion Bench, IFEval, MathVista-Mini, MMBench-V1.1, MMMU-Pro, MMStar, MuirBench, Multi-IF, OCRBench, OCRBench-V2 (en), RealWorldQA, RefCOCO-avg, SimpleVQA). Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose LFM2.5-VL-3B
- you want the most recent training data — it shipped Aug 2026
Choose Qwen3 VL 235B A22B Thinking
- you want the strongest raw capability — it leads on 14 of 14 shared benchmarks
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
LFM2.5-VL-3B outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 14 benchmarks (BLINK, Hallusion Bench, IFEval, MathVista-Mini, MMBench-V1.1, MMMU-Pro, MMStar, MuirBench, Multi-IF, OCRBench, OCRBench-V2 (en), RealWorldQA, RefCOCO-avg, SimpleVQA).
Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
Qwen3 VL 235B A22B Thinking has 232.9B more parameters than LFM2.5-VL-3B, making it 7455.7% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 235B A22B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Thinking specifies output context (262,144 tokens).
Input Capabilities
Supported data types and modalities
Both LFM2.5-VL-3B and Qwen3 VL 235B A22B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
LFM2.5-VL-3B
Qwen3 VL 235B A22B Thinking
License
Usage and distribution terms
LFM2.5-VL-3B is licensed under LFM Open License v1.0, while Qwen3 VL 235B A22B 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-VL-3B was released on 2026-08-12, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.
LFM2.5-VL-3B is 11 months newer than Qwen3 VL 235B A22B Thinking.
Aug 12, 2026
1 weeks ago
10mo newerSep 22, 2025
11 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-VL-3B and Qwen3 VL 235B A22B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about LFM2.5-VL-3B vs Qwen3 VL 235B A22B Thinking.