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.

Phi-3.5-MoE-instruct

Microsoft

Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

DeepSeek R1 Zero

DeepSeek

2025-01-20

5 months newer

Average performance across 1 common benchmarks

DeepSeek R1 Zero

+36.5%

Average Score:73.3%

Phi-3.5-MoE-instruct

Average Score:36.8%

Performance comparison across key benchmark categories

DeepSeek R1 Zero

math

+26.9%

95.9%

general

+19.1%

80.0%

code

50.0%

Phi-3.5-MoE-instruct

math

69.0%

general

60.9%

code

+25.8%

75.8%

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

Phi-3.5-MoE-instruct

0 providers

DeepSeek R1 Zero

+36.5%

Avg Score:73.3%

Providers:0

Phi-3.5-MoE-instruct

Avg Score:36.8%

Providers:0