Nemotron Nano 9B v2 vs Qwen3 VL 4B Thinking
Nemotron Nano 9B v2 leads the LLM Stats Score 18.4 to 12.9.
NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Nemotron Nano 9B v2 leads the overall LLM Stats Score 18.4 to 12.9, ranking #211 overall.
In the 3 individual benchmarks reported for both models, Qwen3 VL 4B 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
- overall performance matters — it scores 18.4 and ranks #211 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
Choose Qwen3 VL 4B 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 · 48 for Qwen3 VL 4B Thinking
Nemotron Nano 9B v2 outperforms in 1 benchmarks (IFEval), while Qwen3 VL 4B Thinking is better at 2 benchmarks (AIME 2025, GPQA).
Qwen3 VL 4B 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
Nemotron Nano 9B v2 has 4.9B more parameters than Qwen3 VL 4B Thinking, making it 122.5% 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 Nemotron Nano 9B v2 does not.
Qwen3 VL 4B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Nemotron Nano 9B v2
Qwen3 VL 4B Thinking
License
Usage and distribution terms
Nemotron Nano 9B v2 is licensed under NVIDIA Open Model License Agreement , 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.
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 4B Thinking was released on 2025-09-22.
Qwen3 VL 4B 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 4B 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 4B 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 4B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Nemotron Nano 9B v2 vs Qwen3 VL 4B Thinking.