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.

Microsoft

Phi 4 Reasoning

Microsoft

Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

DeepSeek

DeepSeek R1 Zero

DeepSeek

2025-01-20

Microsoft

Phi 4 Reasoning

Microsoft

2025-04-30

3 months newer

Average performance across 3 common benchmarks

DeepSeek

DeepSeek R1 Zero

+5.0%
Average Score:70.0%
Microsoft

Phi 4 Reasoning

Average Score:65.0%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Zero

math
+19.3%
95.9%
general
+5.7%
80.0%
code
50.0%
Microsoft

Phi 4 Reasoning

math
76.6%
general
74.3%
code
+26.7%
76.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Reasoning

2025-03-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Zero

0 providers
Microsoft

Phi 4 Reasoning

0 providers
DeepSeek

DeepSeek R1 Zero

+5.0%
Avg Score:70.0%
Providers:0
Microsoft

Phi 4 Reasoning

Avg Score:65.0%
Providers:0