Model Comparison
Nemotron Nano 9B v2 vs Qwen3 VL 8B ThinkingWhich is better in 2026?
Qwen3 VL 8B Thinking shows notably better performance in the majority of benchmarks.
Verdict: Nemotron Nano 9B v2 vs Qwen3 VL 8B Thinking — which is better?
Nemotron Nano 9B v2 (by NVIDIA) and Qwen3 VL 8B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Nemotron Nano 9B v2 outperforms in 1 benchmarks (IFEval), while Qwen3 VL 8B Thinking is better at 2 benchmarks (AIME 2025, GPQA). Qwen3 VL 8B Thinking shows notably better performance in the majority of benchmarks.
Choose Nemotron Nano 9B v2 if…
- you are already invested in the NVIDIA ecosystem
Choose Qwen3 VL 8B Thinking if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- you want the most recent training data — it shipped Sep 2025
Performance Benchmarks
Comparative analysis across standard metrics
Nemotron Nano 9B v2 outperforms in 1 benchmarks (IFEval), while Qwen3 VL 8B Thinking is better at 2 benchmarks (AIME 2025, GPQA).
Qwen3 VL 8B Thinking shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen3 VL 8B Thinking has 0.1B more parameters than Nemotron Nano 9B v2, making it 1.1% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 8B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 8B Thinking specifies output context (262,144 tokens).
Input Capabilities
Supported data types and modalities
Qwen3 VL 8B Thinking supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.
Qwen3 VL 8B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Nemotron Nano 9B v2
Qwen3 VL 8B Thinking
License
Usage and distribution terms
Nemotron Nano 9B v2 is licensed under NVIDIA Open Model License Agreement , while Qwen3 VL 8B 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 8B Thinking was released on 2025-09-22.
Qwen3 VL 8B Thinking is 1 month newer than Nemotron Nano 9B v2.
Aug 18, 2025
10 months ago
Sep 22, 2025
9 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 8B 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 8B Thinking's cutoff date.
Sep 2024
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Outputs Comparison
Key Takeaways
Qwen3 VL 8B Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Nemotron Nano 9B v2 and Qwen3 VL 8B Thinking side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Nemotron Nano 9B v2 vs Qwen3 VL 8B Thinking.