Model Comparison

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

DeepSeek R1 Distill Qwen 14B

DeepSeek

DeepSeek R1 Distill Qwen 14B is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.5% across 4 benchmarks. It excels particularly in MATH-500 (93.9%), AIME 2024 (80.0%), GPQA (59.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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 R1 Distill Qwen 14B

DeepSeek

2025-01-20

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

2025-03-18

1 month newer

Average performance across 2 common benchmarks

DeepSeek R1 Distill Qwen 14B

+1.7%

Average Score:76.5%

Llama 3.1 Nemotron Nano 8B V1

Average Score:74.8%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 14B

math

93.9%

code

53.1%

general

+14.6%

69.5%

Llama 3.1 Nemotron Nano 8B V1

math

+1.5%

95.4%

code

+28.9%

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 R1 Distill Qwen 14B

0 providers

Llama 3.1 Nemotron Nano 8B V1

0 providers

DeepSeek R1 Distill Qwen 14B

+1.7%

Avg Score:76.5%

Providers:0

Llama 3.1 Nemotron Nano 8B V1

Avg Score:74.8%

Providers:0