LFM3-1.7B vs Qwen3 VL 235B A22B Instruct
LFM3-1.7B and Qwen3 VL 235B A22B Instruct are closely matched at 25.0 and 24.0 on the LLM Stats Score.
Liquid AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
LFM3-1.7B and Qwen3 VL 235B A22B Instruct are closely matched on the overall LLM Stats Score at 25.0 and 24.0.
In the 3 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
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- you want the most recent training data — it shipped Oct 2026
Choose Qwen3 VL 235B A22B Instruct
- you want predictable pricing at $0.20/M input and $0.88/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 · 50 for Qwen3 VL 235B A22B Instruct
LFM3-1.7B outperforms in 3 benchmarks (IFEval, LiveCodeBench v6, Multi-IF), while Qwen3 VL 235B A22B Instruct is better at 0 benchmarks.
LFM3-1.7B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3 VL 235B A22B Instruct has 234.3B more parameters than LFM3-1.7B, making it 13541.6% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 235B A22B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Instruct specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3 VL 235B A22B Instruct supports multimodal inputs, whereas LFM3-1.7B does not.
Qwen3 VL 235B A22B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
LFM3-1.7B
Qwen3 VL 235B A22B Instruct
License
Usage and distribution terms
LFM3-1.7B is licensed under LFM Open License v1.0, while Qwen3 VL 235B A22B Instruct 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 235B A22B Instruct was released on 2025-09-22.
LFM3-1.7B is 13 months newer than Qwen3 VL 235B A22B Instruct.
Oct 27, 2026
6 days 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 235B A22B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about LFM3-1.7B vs Qwen3 VL 235B A22B Instruct.