Model Comparison

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

DeepSeek R1 Zero

DeepSeek

DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Qwen2.5 32B Instruct

Alibaba

Qwen2.5 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 32B Instruct

Alibaba

2024-09-19

DeepSeek R1 Zero

DeepSeek

2025-01-20

4 months newer

Average performance across 1 common benchmarks

DeepSeek R1 Zero

+23.8%

Average Score:73.3%

Qwen2.5 32B Instruct

Average Score:49.5%

Performance comparison across key benchmark categories

DeepSeek R1 Zero

math

+6.4%

95.9%

general

+8.7%

80.0%

code

50.0%

Qwen2.5 32B Instruct

math

89.5%

general

71.3%

code

+23.0%

73.0%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek R1 Zero

0 providers

Qwen2.5 32B Instruct

0 providers

DeepSeek R1 Zero

+23.8%

Avg Score:73.3%

Providers:0

Qwen2.5 32B Instruct

Avg Score:49.5%

Providers:0