Model Comparison

Nemotron 3 Nano (30B A3B) vs QwQ-32B

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Nemotron 3 Nano (30B A3B) outperforms in 1 benchmarks (GPQA), while QwQ-32B is better at 0 benchmarks.

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.06
Output tokens$0.24
Best providerDeepinfra
Alibaba Cloud / Qwen Team
QwQ-32B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

500.0M diff

QwQ-32B has 0.5B more parameters than Nemotron 3 Nano (30B A3B), making it 1.6% larger.

NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
32.0B
Nemotron 3 Nano (30B A3B)
32.5B
QwQ-32B

Context Window

Maximum input and output token capacity

Only Nemotron 3 Nano (30B A3B) specifies input context (262,144 tokens). Only Nemotron 3 Nano (30B A3B) specifies output context (262,144 tokens).

NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

Nemotron 3 Nano (30B A3B) is licensed under NVIDIA Open Model License Agreement , while QwQ-32B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Nemotron 3 Nano (30B A3B)

NVIDIA Open Model License Agreement

Open weights

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Nemotron 3 Nano (30B A3B) was released on 2025-12-15, while QwQ-32B was released on 2025-03-05.

Nemotron 3 Nano (30B A3B) is 10 months newer than QwQ-32B.

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

4 months ago

9mo newer
QwQ-32B

Mar 5, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Nemotron 3 Nano (30B A3B) has a knowledge cutoff of 2025-11-28, while QwQ-32B has a cutoff of 2024-11-28.

Nemotron 3 Nano (30B A3B) has more recent training data (up to 2025-11-28), making it potentially better informed about events through that date compared to QwQ-32B (2024-11-28).

Nemotron 3 Nano (30B A3B)

Nov 2025

1 yr newer
QwQ-32B

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (262,144 tokens)
Higher GPQA score (75.0% vs 65.2%)
Alibaba Cloud / Qwen Team

QwQ-32B

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

AI Model Comparison Table
Feature
NVIDIA
Nemotron 3 Nano (30B A3B)
Alibaba Cloud / Qwen Team
QwQ-32B

FAQ

Common questions about Nemotron 3 Nano (30B A3B) vs QwQ-32B

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks. Nemotron 3 Nano (30B A3B) is made by NVIDIA and QwQ-32B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.
Nemotron 3 Nano (30B A3B) supports 262K tokens and QwQ-32B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (NVIDIA Open Model License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Nemotron 3 Nano (30B A3B) is developed by NVIDIA and QwQ-32B is developed by Alibaba Cloud / Qwen Team.