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DeepSeek R1 Distill Qwen 32B vs Nemotron Nano 9B v2

Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 32B outperforms in 0 benchmarks, while Nemotron Nano 9B v2 is better at 3 benchmarks (GPQA, LiveCodeBench, MATH-500). Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

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

Choose DeepSeek R1 Distill Qwen 32B

  • you want predictable pricing at $0.12/M input and $0.18/M output

Choose Nemotron Nano 9B v2

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Aug 2025

At a glance

The differences that matter most.

Benchmark wins
0 of 3
3 of 3
Input price
$0.12 / M
— / M
Output price
$0.18 / M
— / M
Context window
128,000
Released
Jan 2025
Aug 2025
License
MIT
NVIDIA Open Model License Agreement

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Qwen 32B outperforms in 0 benchmarks, while Nemotron Nano 9B v2 is better at 3 benchmarks (GPQA, LiveCodeBench, MATH-500).

Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

23.9B diff

DeepSeek R1 Distill Qwen 32B has 23.9B more parameters than Nemotron Nano 9B v2, making it 268.5% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
8.9B
Nemotron Nano 9B v2

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Nemotron Nano 9B v2 uses NVIDIA Open Model License Agreement .

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

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Nemotron Nano 9B v2 was released on 2025-08-18.

Nemotron Nano 9B v2 is 7 months newer than DeepSeek R1 Distill Qwen 32B.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.6 years ago

Nemotron Nano 9B v2

Aug 18, 2025

1.0 years ago

7mo newer

Knowledge Cutoff

When training data ends

Nemotron Nano 9B v2 has a documented knowledge cutoff of 2024-09-01, while DeepSeek R1 Distill Qwen 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 DeepSeek R1 Distill Qwen 32B's cutoff date.

DeepSeek R1 Distill Qwen 32B

Nemotron Nano 9B v2

Sep 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 32B and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 32B
✓ Preferred
Nemotron Nano 9B v2
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Nemotron Nano 9B v2.

Which is better, DeepSeek R1 Distill Qwen 32B or Nemotron Nano 9B v2?

Nemotron Nano 9B v2 significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and Nemotron Nano 9B v2 is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Qwen 32B compare to Nemotron Nano 9B v2 in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. 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 DeepSeek R1 Distill Qwen 32B and Nemotron Nano 9B v2?

DeepSeek R1 Distill Qwen 32B supports 128K tokens and Nemotron Nano 9B v2 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 DeepSeek R1 Distill Qwen 32B and Nemotron Nano 9B v2?

Key differences include licensing (MIT vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 32B and Nemotron Nano 9B v2?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Nemotron Nano 9B v2 is developed by NVIDIA.