Model Comparison

Nemotron 3 Nano (30B A3B) vs Qwen3 VL 32B InstructWhich is better in 2026?

Nemotron 3 Nano (30B A3B) shows notably better performance in the majority of benchmarks.

Verdict: Nemotron 3 Nano (30B A3B) vs Qwen3 VL 32B Instruct — which is better?

Nemotron 3 Nano (30B A3B) (by NVIDIA) and Qwen3 VL 32B Instruct (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 3 Nano (30B A3B) outperforms in 4 benchmarks (AIME 2025, Arena-Hard v2, GPQA, LiveCodeBench v6), while Qwen3 VL 32B Instruct is better at 2 benchmarks (MMLU-Pro, MMLU-ProX). Nemotron 3 Nano (30B A3B) shows notably better performance in the majority of benchmarks.

Choose Nemotron 3 Nano (30B A3B) if…

  • you want the strongest raw capability — it leads on 4 of 6 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025

Choose Qwen3 VL 32B Instruct if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Nemotron 3 Nano (30B A3B) outperforms in 4 benchmarks (AIME 2025, Arena-Hard v2, GPQA, LiveCodeBench v6), while Qwen3 VL 32B Instruct is better at 2 benchmarks (MMLU-Pro, MMLU-ProX).

Nemotron 3 Nano (30B A3B) shows notably better performance in the majority of benchmarks.

Wed Aug 05 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

1.0B diff

Qwen3 VL 32B Instruct has 1.0B more parameters than Nemotron 3 Nano (30B A3B), making it 3.1% larger.

NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
33.0Bparameters
32.0B
Nemotron 3 Nano (30B A3B)
33.0B
Qwen3 VL 32B Instruct

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
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Wed Aug 05 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Instruct supports multimodal inputs, whereas Nemotron 3 Nano (30B A3B) does not.

Qwen3 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Nemotron 3 Nano (30B A3B)

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Nemotron 3 Nano (30B A3B) is licensed under NVIDIA Open Model License Agreement , while Qwen3 VL 32B Instruct 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

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Nemotron 3 Nano (30B A3B) was released on 2025-12-15, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Nemotron 3 Nano (30B A3B) is 3 months newer than Qwen3 VL 32B Instruct.

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

7 months ago

2mo newer
Qwen3 VL 32B Instruct

Sep 22, 2025

10 months ago

Knowledge Cutoff

When training data ends

Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while Qwen3 VL 32B Instruct's cutoff date is not specified.

We can confirm Nemotron 3 Nano (30B A3B)'s training data extends to 2025-11-28, but cannot make a direct comparison without Qwen3 VL 32B Instruct's cutoff date.

Nemotron 3 Nano (30B A3B)

Nov 2025

Qwen3 VL 32B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

NVIDIA
Larger context window (262,144 tokens)
Higher AIME 2025 score (99.2% vs 66.2%)
Higher Arena-Hard v2 score (67.7% vs 64.7%)
Higher GPQA score (75.0% vs 68.9%)
Higher LiveCodeBench v6 score (68.3% vs 43.8%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher MMLU-Pro score (78.6% vs 78.3%)
Higher MMLU-ProX score (73.4% vs 59.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Nemotron 3 Nano (30B A3B) and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.

Nemotron 3 Nano (30B A3B)
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground
AI Model Comparison Table
Feature
NVIDIA
Nemotron 3 Nano (30B A3B)
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct

FAQ

Common questions about Nemotron 3 Nano (30B A3B) vs Qwen3 VL 32B Instruct.

Which is better, Nemotron 3 Nano (30B A3B) or Qwen3 VL 32B Instruct?

Nemotron 3 Nano (30B A3B) shows notably better performance in the majority of benchmarks. Nemotron 3 Nano (30B A3B) is made by NVIDIA and Qwen3 VL 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Nemotron 3 Nano (30B A3B) compare to Qwen3 VL 32B Instruct in benchmarks?

Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for Nemotron 3 Nano (30B A3B) and Qwen3 VL 32B Instruct?

Nemotron 3 Nano (30B A3B) supports 262K tokens and Qwen3 VL 32B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Nemotron 3 Nano (30B A3B) and Qwen3 VL 32B Instruct?

Key differences include multimodal support (no vs yes), licensing (NVIDIA Open Model License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Nemotron 3 Nano (30B A3B) and Qwen3 VL 32B Instruct?

Nemotron 3 Nano (30B A3B) is developed by NVIDIA and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.

Related comparisons