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

Microsoft

Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). 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

Microsoft

2025-02-01

12 days newer

Average performance across 1 common benchmarks

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

+8.6%
Average Score:33.8%
Microsoft

Phi 4 Mini

Average Score:25.2%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

math
+11.7%
83.9%
general
43.3%
Microsoft

Phi 4 Mini

math
72.2%
general
+17.6%
60.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Mini

2024-06-01

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

0 providers
DeepSeek

DeepSeek R1 Distill Qwen 1.5B

+8.6%
Avg Score:33.8%
Providers:0
Microsoft

Phi 4 Mini

Avg Score:25.2%
Providers:0