The AI arena is free today

Open Superagent

DeepSeek R1 Zero vs Nemotron Nano 9B v2

DeepSeek R1 Zero and Nemotron Nano 9B v2 are closely matched at 16.1 and 18.5 on the LLM Stats Score.

DeepSeek · NVIDIA · Updated for 2026

Which is better?

DeepSeek R1 Zero and Nemotron Nano 9B v2 are closely matched on the overall LLM Stats Score at 16.1 and 18.5.

In the 3 individual benchmarks reported for both models, Nemotron Nano 9B v2 wins 2; this is a narrower head-to-head signal than the composite indexes.

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

Choose DeepSeek R1 Zero

  • you are already invested in the DeepSeek ecosystem

Choose Nemotron Nano 9B v2

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Aug 2025

At a glance

The differences that matter most.

Core performance indexes
16.1
#224
18.5
#210
16.4
#214
17.3
#208
4.3
#207
14.4
#131
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Zero
Nemotron Nano 9B v2
17.6#192
16.4#204
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Zero · 6 for Nemotron Nano 9B v2

3 shared

DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while Nemotron Nano 9B v2 is better at 2 benchmarks (LiveCodeBench, MATH-500).

Nemotron Nano 9B v2 shows notably better performance in the majority of benchmarks.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

662.1B diff

DeepSeek R1 Zero has 662.1B more parameters than Nemotron Nano 9B v2, making it 7439.3% larger.

DeepSeek
DeepSeek R1 Zero
671.0Bparameters
NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
671.0B
DeepSeek R1 Zero
8.9B
Nemotron Nano 9B v2

License

Usage and distribution terms

DeepSeek R1 Zero 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 Zero

MIT

Open weights

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Zero 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 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.6 years ago

Nemotron Nano 9B v2

Aug 18, 2025

1.1 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 Zero'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 Zero's cutoff date.

DeepSeek R1 Zero

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 Zero and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

DeepSeek R1 Zero
✓ Preferred
Nemotron Nano 9B v2
Open in Playground

FAQ

Common questions about DeepSeek R1 Zero vs Nemotron Nano 9B v2.

Which is better, DeepSeek R1 Zero or Nemotron Nano 9B v2?

DeepSeek R1 Zero and Nemotron Nano 9B v2 are closely matched on the LLM Stats Score at 16.1 and 18.5. DeepSeek R1 Zero is made by DeepSeek and Nemotron Nano 9B v2 is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Zero compare to Nemotron Nano 9B v2 in benchmarks?

DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. 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 main differences between DeepSeek R1 Zero and Nemotron Nano 9B v2?

Key differences include LLM Stats Score (16.1 vs 18.5), licensing (MIT vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Zero and Nemotron Nano 9B v2?

DeepSeek R1 Zero is developed by DeepSeek and Nemotron Nano 9B v2 is developed by NVIDIA.