Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek

DeepSeek R1 Zero

DeepSeek

DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

NVIDIA

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

DeepSeek

DeepSeek R1 Zero

DeepSeek

2025-01-20

NVIDIA

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

2025-03-18

1 month newer

Average performance across 2 common benchmarks

DeepSeek

DeepSeek R1 Zero

+9.8%
Average Score:84.6%
NVIDIA

Llama 3.1 Nemotron Nano 8B V1

Average Score:74.8%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Zero

math
+0.5%
95.9%
code
50.0%
general
+25.1%
80.0%
NVIDIA

Llama 3.1 Nemotron Nano 8B V1

math
95.4%
code
+32.0%
82.0%
general
54.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Llama 3.1 Nemotron Nano 8B V1

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Zero

0 providers
NVIDIA

Llama 3.1 Nemotron Nano 8B V1

0 providers
DeepSeek

DeepSeek R1 Zero

+9.8%
Avg Score:84.6%
Providers:0
NVIDIA

Llama 3.1 Nemotron Nano 8B V1

Avg Score:74.8%
Providers:0