Model Comparison
Nemotron Nano 9B v2 vs Qwen3 32B
Both models are evenly matched across the benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Nemotron Nano 9B v2 outperforms in 1 benchmarks (LiveCodeBench), while Qwen3 32B is better at 1 benchmark (AIME 2025).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen3 32B has 23.9B more parameters than Nemotron Nano 9B v2, making it 268.5% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 32B specifies input context (128,000 tokens). Only Qwen3 32B specifies output context (128,000 tokens).
License
Usage and distribution terms
Nemotron Nano 9B v2 is licensed under NVIDIA Open Model License Agreement , while Qwen3 32B 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 32B was released on 2025-04-29.
Nemotron Nano 9B v2 is 4 months newer than Qwen3 32B.
Aug 18, 2025
8 months ago
3mo newerApr 29, 2025
11 months ago
Knowledge Cutoff
When training data ends
Nemotron Nano 9B v2 has a documented knowledge cutoff of 2024-09-01, while Qwen3 32B'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 32B's cutoff date.
Sep 2024
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Outputs Comparison
Key Takeaways
Qwen3 32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Nemotron Nano 9B v2 vs Qwen3 32B