Model Comparison

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

DeepSeek

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.

Alibaba

Qwen2 72B Instruct

Alibaba

Qwen2 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). The model shows particular specialization in code tasks with an average performance of 82.3%. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2 72B Instruct

Alibaba

2024-07-23

DeepSeek

DeepSeek R1 Zero

DeepSeek

2025-01-20

6 months newer

Average performance across 1 common benchmarks

DeepSeek

DeepSeek R1 Zero

+30.9%
Average Score:73.3%
Alibaba

Qwen2 72B Instruct

Average Score:42.4%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Zero

math
+20.5%
95.9%
code
50.0%
general
+12.1%
80.0%
Alibaba

Qwen2 72B Instruct

math
75.4%
code
+32.3%
82.3%
general
67.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Zero

0 providers
Alibaba

Qwen2 72B Instruct

0 providers
DeepSeek

DeepSeek R1 Zero

+30.9%
Avg Score:73.3%
Providers:0
Alibaba

Qwen2 72B Instruct

Avg Score:42.4%
Providers:0