Model Comparison

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

DeepSeek

DeepSeek R1 Distill Qwen 7B

DeepSeek

DeepSeek R1 Distill Qwen 7B is a language model developed by DeepSeek. It achieves strong performance with an average score of 65.7% across 4 benchmarks. It excels particularly in MATH-500 (92.8%), AIME 2024 (83.3%), GPQA (49.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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 Distill Qwen 7B

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 Distill Qwen 7B

Average Score:71.0%
NVIDIA

Llama-3.3 Nemotron Super 49B v1

+10.7%
Average Score:81.6%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 7B

math
92.8%
code
37.6%
general
66.2%
NVIDIA

Llama-3.3 Nemotron Super 49B v1

math
+3.8%
96.6%
code
+53.7%
91.3%
general
+5.6%
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 Distill Qwen 7B

0 providers
NVIDIA

Llama-3.3 Nemotron Super 49B v1

0 providers
DeepSeek

DeepSeek R1 Distill Qwen 7B

Avg Score:71.0%
Providers:0
NVIDIA

Llama-3.3 Nemotron Super 49B v1

+10.7%
Avg Score:81.6%
Providers:0