Model Comparison

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

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). 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 Mini Reasoning

Microsoft

Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). 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 Distill Qwen 1.5B

DeepSeek

2025-01-20

Microsoft

Phi 4 Mini Reasoning

Microsoft

2025-04-30

3 months newer

Average performance across 2 common benchmarks

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

Average Score:58.9%
Microsoft

Phi 4 Mini Reasoning

+14.4%
Average Score:73.3%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

math
83.9%
general
43.3%
Microsoft

Phi 4 Mini Reasoning

math
+10.7%
94.6%
general
+11.5%
54.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Mini Reasoning

2025-02-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

0 providers
Microsoft

Phi 4 Mini Reasoning

0 providers
DeepSeek

DeepSeek R1 Distill Qwen 1.5B

Avg Score:58.9%
Providers:0
Microsoft

Phi 4 Mini Reasoning

+14.4%
Avg Score:73.3%
Providers:0