Model Comparison

DeepSeek R1 Zero vs Llama 3.1 Nemotron Nano 8B V1

DeepSeek R1 Zero significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Zero outperforms in 2 benchmarks (GPQA, MATH-500), while Llama 3.1 Nemotron Nano 8B V1 is better at 0 benchmarks.

DeepSeek R1 Zero significantly outperforms across most benchmarks.

Thu Apr 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 02 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Zero
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

663.0B diff

DeepSeek R1 Zero has 663.0B more parameters than Llama 3.1 Nemotron Nano 8B V1, making it 8287.5% larger.

DeepSeek
DeepSeek R1 Zero
671.0Bparameters
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
8.0Bparameters
671.0B
DeepSeek R1 Zero
8.0B
Llama 3.1 Nemotron Nano 8B V1

License

Usage and distribution terms

DeepSeek R1 Zero is licensed under MIT, while Llama 3.1 Nemotron Nano 8B V1 uses Llama 3.1 Community License.

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

DeepSeek R1 Zero

MIT

Open weights

Llama 3.1 Nemotron Nano 8B V1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Zero was released on 2025-01-20, while Llama 3.1 Nemotron Nano 8B V1 was released on 2025-03-18.

Llama 3.1 Nemotron Nano 8B V1 is 2 months newer than DeepSeek R1 Zero.

DeepSeek R1 Zero

Jan 20, 2025

1.2 years ago

Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.0 years ago

1mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Nano 8B V1 has a documented knowledge cutoff of 2023-12-31, while DeepSeek R1 Zero's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron Nano 8B V1's training data extends to 2023-12-31, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.

DeepSeek R1 Zero

—

Llama 3.1 Nemotron Nano 8B V1

Dec 2023

Outputs Comparison

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Key Takeaways

DeepSeek
Higher GPQA score (73.3% vs 54.1%)
Higher MATH-500 score (95.9% vs 95.4%)
NVIDIA

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Zero
NVIDIA
Llama 3.1 Nemotron Nano 8B V1

FAQ

Common questions about DeepSeek R1 Zero vs Llama 3.1 Nemotron Nano 8B V1

DeepSeek R1 Zero significantly outperforms across most benchmarks. DeepSeek R1 Zero is made by DeepSeek and Llama 3.1 Nemotron Nano 8B V1 is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%. Llama 3.1 Nemotron Nano 8B V1 scores MATH-500: 95.4%, MBPP: 84.6%, MT-Bench: 81.0%, IFEval: 79.3%, BFCL v2: 63.6%.
Key differences include licensing (MIT vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Zero is developed by DeepSeek and Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA.