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-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.

Microsoft

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

DeepSeek

2025-01-20

5 months newer

Average performance across 1 common benchmarks

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

Average Score:33.8%
Microsoft

Phi-3.5-MoE-instruct

+3.0%
Average Score:36.8%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

math
+14.9%
83.9%
code
16.9%
general
43.3%
Microsoft

Phi-3.5-MoE-instruct

math
69.0%
code
+58.8%
75.8%
general
+17.7%
60.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Distill Qwen 1.5B

0 providers
Microsoft

Phi-3.5-MoE-instruct

0 providers
DeepSeek

DeepSeek R1 Distill Qwen 1.5B

Avg Score:33.8%
Providers:0
Microsoft

Phi-3.5-MoE-instruct

+3.0%
Avg Score:36.8%
Providers:0