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-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). 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-Coder 7B Instruct

Alibaba

2024-09-19

DeepSeek R1 Zero

DeepSeek

2025-01-20

4 months newer

Average performance across 1 common benchmarks

DeepSeek R1 Zero

+31.8%

Average Score:50.0%

Qwen2.5-Coder 7B Instruct

Average Score:18.2%

Performance comparison across key benchmark categories

DeepSeek R1 Zero

math

+30.6%

95.9%

general

+27.7%

80.0%

code

50.0%

Qwen2.5-Coder 7B Instruct

math

65.3%

general

52.3%

code

+7.3%

57.3%

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-Coder 7B Instruct

0 providers

DeepSeek R1 Zero

+31.8%

Avg Score:50.0%

Providers:0

Qwen2.5-Coder 7B Instruct

Avg Score:18.2%

Providers:0