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-3.3 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 R1 Distill Qwen 1.5B

DeepSeek

2025-01-20

Llama-3.3 Nemotron Super 49B v1

NVIDIA

2025-03-18

1 month newer

Average performance across 2 common benchmarks

DeepSeek R1 Distill Qwen 1.5B

Average Score:58.9%

Llama-3.3 Nemotron Super 49B v1

+22.8%

Average Score:81.6%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 1.5B

math

83.9%

code

16.9%

general

43.3%

Llama-3.3 Nemotron Super 49B v1

math

+12.7%

96.6%

code

+74.4%

91.3%

general

+28.5%

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 R1 Distill Qwen 1.5B

0 providers

Llama-3.3 Nemotron Super 49B v1

0 providers

DeepSeek R1 Distill Qwen 1.5B

Avg Score:58.9%

Providers:0

Llama-3.3 Nemotron Super 49B v1

+22.8%

Avg Score:81.6%

Providers:0