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

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.

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 Distill Qwen 1.5B
DeepSeek
2025-01-20
5 months newer
Average performance across 1 common benchmarks

DeepSeek R1 Distill Qwen 1.5B

Phi-3.5-MoE-instruct
Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 1.5B

Phi-3.5-MoE-instruct
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 1.5B

Phi-3.5-MoE-instruct

DeepSeek R1 Distill Qwen 1.5B

Phi-3.5-MoE-instruct