Nemotron 3 Nano (30B A3B) vs Qwen3.5-4B Comparison

Comparing Nemotron 3 Nano (30B A3B) and Qwen3.5-4B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Nemotron 3 Nano (30B A3B) outperforms in 2 benchmarks (LiveCodeBench v6, WMT24++), while Qwen3.5-4B is better at 3 benchmarks (GPQA, MMLU-Pro, MMLU-ProX).

Qwen3.5-4B has a slight edge in benchmark performance.

Mon Mar 16 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
Mon Mar 16 2026 • llm-stats.com
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.06
Output tokens$0.24
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3.5-4B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

28.0B diff

Nemotron 3 Nano (30B A3B) has 28.0B more parameters than Qwen3.5-4B, making it 700.0% larger.

NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-4B
4.0Bparameters
32.0B
Nemotron 3 Nano (30B A3B)
4.0B
Qwen3.5-4B

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
Qwen3.5-4B
Input- tokens
Output- tokens
Mon Mar 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.5-4B supports multimodal inputs, whereas Nemotron 3 Nano (30B A3B) does not.

Qwen3.5-4B 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

Qwen3.5-4B

Text
Images
Audio
Video

License

Usage and distribution terms

Nemotron 3 Nano (30B A3B) is licensed under NVIDIA Open Model License Agreement , while Qwen3.5-4B 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

Qwen3.5-4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Nemotron 3 Nano (30B A3B) was released on 2025-12-15, while Qwen3.5-4B was released on 2026-03-02.

Qwen3.5-4B is 3 months newer than Nemotron 3 Nano (30B A3B).

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

3 months ago

Qwen3.5-4B

Mar 2, 2026

2 weeks ago

2mo newer

Knowledge Cutoff

When training data ends

Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while Qwen3.5-4B'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 Qwen3.5-4B's cutoff date.

Nemotron 3 Nano (30B A3B)

Nov 2025

Qwen3.5-4B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (262,144 tokens)
Higher LiveCodeBench v6 score (68.3% vs 55.8%)
Higher WMT24++ score (86.2% vs 66.6%)
Alibaba Cloud / Qwen Team

Qwen3.5-4B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher GPQA score (76.2% vs 75.0%)
Higher MMLU-Pro score (79.1% vs 78.3%)
Higher MMLU-ProX score (71.5% vs 59.5%)

Detailed Comparison

AI Model Comparison Table
Feature
NVIDIA
Nemotron 3 Nano (30B A3B)
Alibaba Cloud / Qwen Team
Qwen3.5-4B