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-3.3 Nemotron Super 49B v1

NVIDIA

Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

DeepSeek

DeepSeek R1 Zero

DeepSeek

2025-01-20

NVIDIA

Llama-3.3 Nemotron Super 49B v1

NVIDIA

2025-03-18

1 month newer

Average performance across 2 common benchmarks

DeepSeek

DeepSeek R1 Zero

+3.0%
Average Score:84.6%
NVIDIA

Llama-3.3 Nemotron Super 49B v1

Average Score:81.6%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Zero

math
95.9%
code
50.0%
general
+8.2%
80.0%
NVIDIA

Llama-3.3 Nemotron Super 49B v1

math
+0.7%
96.6%
code
+41.3%
91.3%
general
71.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Llama-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1

0 providers
DeepSeek

DeepSeek R1 Zero

+3.0%
Avg Score:84.6%
Providers:0
NVIDIA

Llama-3.3 Nemotron Super 49B v1

Avg Score:81.6%
Providers:0