Model Comparison

Nemotron Nano 9B v2 vs Qwen3-CoderWhich is better in 2026?

Comparing Nemotron Nano 9B v2 and Qwen3-Coder across benchmarks, pricing, and capabilities.

Verdict: Nemotron Nano 9B v2 vs Qwen3-Coder — which is better?

Nemotron Nano 9B v2 (by NVIDIA) and Qwen3-Coder (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.

Choose Nemotron Nano 9B v2 if…

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

Choose Qwen3-Coder if…

  • you want predictable pricing at $0.18/M input and $0.18/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Nemotron Nano 9B v2 and Qwen3-Coder don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

471.1B diff

Qwen3-Coder has 471.1B more parameters than Nemotron Nano 9B v2, making it 5293.3% larger.

NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder
480.0Bparameters
8.9B
Nemotron Nano 9B v2
480.0B
Qwen3-Coder

Context Window

Maximum input and output token capacity

Only Qwen3-Coder specifies input context (256,000 tokens). Only Qwen3-Coder specifies output context (256,000 tokens).

NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Sun Jun 07 2026 • llm-stats.com

License

Usage and distribution terms

Nemotron Nano 9B v2 is licensed under NVIDIA Open Model License Agreement , while Qwen3-Coder 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-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

Nemotron Nano 9B v2 was released on 2025-08-18, while Qwen3-Coder was released on 2025-01-01.

Nemotron Nano 9B v2 is 8 months newer than Qwen3-Coder.

Nemotron Nano 9B v2

Aug 18, 2025

9 months ago

7mo newer
Qwen3-Coder

Jan 1, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

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

Nemotron Nano 9B v2

Sep 2024

Qwen3-Coder

Outputs Comparison

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Key Takeaways

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
NVIDIA
Nemotron Nano 9B v2
Alibaba Cloud / Qwen Team
Qwen3-Coder

FAQ

Common questions about Nemotron Nano 9B v2 vs Qwen3-Coder.

Which is better, Nemotron Nano 9B v2 or Qwen3-Coder?

Nemotron Nano 9B v2 (NVIDIA) and Qwen3-Coder (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Nemotron Nano 9B v2 compare to Qwen3-Coder 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%.

What are the context window sizes for Nemotron Nano 9B v2 and Qwen3-Coder?

Nemotron Nano 9B v2 supports an unknown number of tokens and Qwen3-Coder supports 256K 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-Coder?

Key differences include 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-Coder?

Nemotron Nano 9B v2 is developed by NVIDIA and Qwen3-Coder is developed by Alibaba Cloud / Qwen Team.