Model Comparison

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

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.

Llama 3.1 Nemotron Ultra 253B v1

NVIDIA

Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

2025-01-20

Llama 3.1 Nemotron Ultra 253B v1

NVIDIA

2025-04-07

2 months newer

Average performance across 3 common benchmarks

DeepSeek R1 Distill Qwen 1.5B

Average Score:44.9%

Llama 3.1 Nemotron Ultra 253B v1

+34.9%

Average Score:79.8%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 1.5B

math

83.9%

code

16.9%

general

43.3%

Llama 3.1 Nemotron Ultra 253B v1

math

+13.1%

97.0%

code

+61.0%

77.9%

general

+31.0%

74.2%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Llama 3.1 Nemotron Ultra 253B v1

2023-12-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek R1 Distill Qwen 1.5B

0 providers

Llama 3.1 Nemotron Ultra 253B v1

0 providers

DeepSeek R1 Distill Qwen 1.5B

Avg Score:44.9%

Providers:0

Llama 3.1 Nemotron Ultra 253B v1

+34.9%

Avg Score:79.8%

Providers:0