Nemotron Nano 9B v2 vs Qwen3 VL 32B Thinking
Nemotron Nano 9B v2 and Qwen3 VL 32B Thinking are closely matched at 18.4 and 23.6 on the LLM Stats Score.
NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Nemotron Nano 9B v2 and Qwen3 VL 32B Thinking are closely matched on the overall LLM Stats Score at 18.4 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 Nemotron Nano 9B v2
- you are already invested in the NVIDIA ecosystem
Choose Qwen3 VL 32B Thinking
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for Nemotron Nano 9B v2 · 47 for Qwen3 VL 32B Thinking
Nemotron Nano 9B v2 outperforms in 1 benchmarks (IFEval), while Qwen3 VL 32B Thinking is better at 2 benchmarks (AIME 2025, GPQA).
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 24.1B more parameters than Nemotron Nano 9B v2, making it 270.8% larger.
Input capabilities
Documented input modalities across available providers
Qwen3 VL 32B Thinking supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.
Qwen3 VL 32B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Nemotron Nano 9B v2
Qwen3 VL 32B Thinking
License
Usage and distribution terms
Nemotron Nano 9B v2 is licensed under NVIDIA Open Model License Agreement , 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.
NVIDIA Open Model License Agreement
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Nemotron Nano 9B v2 was released on 2025-08-18, while Qwen3 VL 32B Thinking was released on 2025-09-22.
Qwen3 VL 32B Thinking is 1 month newer than Nemotron Nano 9B v2.
Aug 18, 2025
1.1 years ago
Sep 22, 2025
12 months ago
1mo newerKnowledge Cutoff
When training data ends
Nemotron Nano 9B v2 has a documented knowledge cutoff of 2024-09-01, while Qwen3 VL 32B Thinking's cutoff date is not specified.
We can confirm Nemotron Nano 9B v2's training data extends to 2024-09-01, but cannot make a direct comparison without Qwen3 VL 32B Thinking's cutoff date.
Sep 2024
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Outputs Comparison
Judge for yourself.
Run your own prompts against Nemotron Nano 9B v2 and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Nemotron Nano 9B v2 vs Qwen3 VL 32B Thinking.