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Nemotron Nano 9B v2 vs Qwen3 32B

Nemotron Nano 9B v2 and Qwen3 32B are closely matched at 18.4 and 18.4 on the LLM Stats Score.

NVIDIA · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Nemotron Nano 9B v2 and Qwen3 32B are closely matched on the overall LLM Stats Score at 18.4 and 18.4.

The models split the 2 individual benchmarks reported for both models evenly.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Nemotron Nano 9B v2

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

Choose Qwen3 32B

  • you want predictable pricing at $0.08/M input and $0.28/M output

At a glance

The differences that matter most.

Core performance indexes
18.4
#219
18.4
#220
17.2
#218
18.6
#214
14.4
#141
8.9
#186
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.08 / M
Output price
— / M
$0.28 / M
Context window
—
40,960

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Nemotron Nano 9B v2
Qwen3 32B
16.4#207
21.2#150
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Nemotron Nano 9B v2 · 9 for Qwen3 32B

2 shared

Nemotron Nano 9B v2 outperforms in 1 benchmarks (LiveCodeBench), while Qwen3 32B is better at 1 benchmark (AIME 2025).

Both models are evenly matched across the benchmarks.

Wed Sep 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

23.9B diff

Qwen3 32B has 23.9B more parameters than Nemotron Nano 9B v2, making it 268.5% larger.

NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
Alibaba Cloud / Qwen Team
Qwen3 32B
32.8Bparameters
8.9B
Nemotron Nano 9B v2
32.8B
Qwen3 32B

Context Window

Maximum input and output token capacity

Only Qwen3 32B specifies input context (40,960 tokens). Only Qwen3 32B specifies output context (40,960 tokens).

NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input40,960 tokens
Output40,960 tokens
Wed Sep 30 2026 • llm-stats.com

License

Usage and distribution terms

Nemotron Nano 9B v2 is licensed under NVIDIA Open Model License Agreement , while Qwen3 32B 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 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Nemotron Nano 9B v2 was released on 2025-08-18, while Qwen3 32B was released on 2025-04-29.

Nemotron Nano 9B v2 is 4 months newer than Qwen3 32B.

Nemotron Nano 9B v2

Aug 18, 2025

1.1 years ago

3mo newer
Qwen3 32B

Apr 29, 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 32B'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 32B's cutoff date.

Nemotron Nano 9B v2

Sep 2024

Qwen3 32B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Nemotron Nano 9B v2 and Qwen3 32B side-by-side, then vote on the output you prefer.

Nemotron Nano 9B v2
✓ Preferred
Qwen3 32B
Open in Playground

FAQ

Common questions about Nemotron Nano 9B v2 vs Qwen3 32B.

Which is better, Nemotron Nano 9B v2 or Qwen3 32B?

Nemotron Nano 9B v2 and Qwen3 32B are closely matched on the LLM Stats Score at 18.4 and 18.4. Nemotron Nano 9B v2 is made by NVIDIA and Qwen3 32B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Nemotron Nano 9B v2 compare to Qwen3 32B 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 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.

What are the context window sizes for Nemotron Nano 9B v2 and Qwen3 32B?

Nemotron Nano 9B v2 supports an unknown number of tokens and Qwen3 32B supports 41K 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 32B?

Key differences include LLM Stats Score (18.4 vs 18.4), 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 32B?

Nemotron Nano 9B v2 is developed by NVIDIA and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.