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 7B Instruct

Alibaba

Qwen2 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). 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 7B Instruct

Alibaba

2024-07-23

DeepSeek R1 Zero

DeepSeek

2025-01-20

6 months newer

Average performance across 2 common benchmarks

DeepSeek R1 Zero

+35.7%

Average Score:61.7%

Qwen2 7B Instruct

Average Score:25.9%

Performance comparison across key benchmark categories

DeepSeek R1 Zero

math

+29.9%

95.9%

general

+30.6%

80.0%

code

50.0%

Qwen2 7B Instruct

math

66.0%

general

49.4%

code

+14.2%

64.2%

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 7B Instruct

0 providers

DeepSeek R1 Zero

+35.7%

Avg Score:61.7%

Providers:0

Qwen2 7B Instruct

Avg Score:25.9%

Providers:0