Model Comparison

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

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). 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 70B Instruct

NVIDIA

Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). The model shows particular specialization in math tasks with an average performance of 86.7%. Released in 2024, it represents NVIDIA's latest advancement in AI technology.

NVIDIA

Llama 3.1 Nemotron 70B Instruct

NVIDIA

2024-10-01

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

2025-01-20

3 months newer

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

math
83.9%
code
16.9%
general
43.3%
NVIDIA

Llama 3.1 Nemotron 70B Instruct

math
+2.8%
86.7%
code
+56.9%
73.8%
general
+20.9%
64.1%
Knowledge Cutoff
Training data recency comparison

Llama 3.1 Nemotron 70B Instruct

2023-12-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

0 providers
NVIDIA

Llama 3.1 Nemotron 70B Instruct

0 providers
DeepSeek

DeepSeek R1 Distill Qwen 1.5B

Avg Score:0.0%
Providers:0
NVIDIA

Llama 3.1 Nemotron 70B Instruct

Avg Score:0.0%
Providers:0