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Nemotron Nano 9B v2 vs Qwen3 VL 4B Instruct

Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Nemotron Nano 9B v2 outperforms in 2 benchmarks (AIME 2025, IFEval), while Qwen3 VL 4B Instruct is better at 0 benchmarks. Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Nemotron Nano 9B v2

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks

Choose Qwen3 VL 4B Instruct

  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Benchmark wins
2 of 2
0 of 2
Input price
— / M
$0.10 / M
Output price
— / M
$0.60 / M
Context window
262,144
Released
Aug 2025
Sep 2025
License
NVIDIA Open Model License Agreement
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Nemotron Nano 9B v2 outperforms in 2 benchmarks (AIME 2025, IFEval), while Qwen3 VL 4B Instruct is better at 0 benchmarks.

Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

4.9B diff

Nemotron Nano 9B v2 has 4.9B more parameters than Qwen3 VL 4B Instruct, making it 122.5% larger.

NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
4.0Bparameters
8.9B
Nemotron Nano 9B v2
4.0B
Qwen3 VL 4B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 4B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 4B Instruct specifies output context (262,144 tokens).

NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
Input262,144 tokens
Output262,144 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 4B Instruct supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.

Qwen3 VL 4B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Nemotron Nano 9B v2

Text
Images
Audio
Video

Qwen3 VL 4B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Nemotron Nano 9B v2 is licensed under NVIDIA Open Model License Agreement , while Qwen3 VL 4B Instruct uses Apache 2.0.

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

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Qwen3 VL 4B Instruct

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 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 1 month newer than Nemotron Nano 9B v2.

Nemotron Nano 9B v2

Aug 18, 2025

1.0 years ago

Qwen3 VL 4B Instruct

Sep 22, 2025

11 months ago

1mo newer

Knowledge Cutoff

When training data ends

Nemotron Nano 9B v2 has a documented knowledge cutoff of 2024-09-01, while Qwen3 VL 4B Instruct'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 4B Instruct's cutoff date.

Nemotron Nano 9B v2

Sep 2024

Qwen3 VL 4B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Nemotron Nano 9B v2 and Qwen3 VL 4B Instruct side-by-side, then vote on the output you prefer.

Nemotron Nano 9B v2
✓ Preferred
Qwen3 VL 4B Instruct
Open in Playground

FAQ

Common questions about Nemotron Nano 9B v2 vs Qwen3 VL 4B Instruct.

Which is better, Nemotron Nano 9B v2 or Qwen3 VL 4B Instruct?

Nemotron Nano 9B v2 significantly outperforms across most benchmarks. Nemotron Nano 9B v2 is made by NVIDIA and Qwen3 VL 4B 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 Nano 9B v2 compare to Qwen3 VL 4B Instruct in benchmarks?

Nemotron Nano 9B v2 scores MATH-500: 97.8%, IFEval: 90.3%, AIME 2025: 72.1%, LiveCodeBench: 71.1%, BFCL_v3_MultiTurn: 66.9%. Qwen3 VL 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

What are the context window sizes for Nemotron Nano 9B v2 and Qwen3 VL 4B Instruct?

Nemotron Nano 9B v2 supports an unknown number of tokens and Qwen3 VL 4B Instruct supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Nemotron Nano 9B v2 and Qwen3 VL 4B 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 Nano 9B v2 and Qwen3 VL 4B Instruct?

Nemotron Nano 9B v2 is developed by NVIDIA and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.