Model Comparison

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

DeepSeek R1 Distill Qwen 7B

DeepSeek

DeepSeek R1 Distill Qwen 7B is a language model developed by DeepSeek. It achieves strong performance with an average score of 65.7% across 4 benchmarks. It excels particularly in MATH-500 (92.8%), AIME 2024 (83.3%), GPQA (49.1%). 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 7B

DeepSeek

2025-01-20

5 months newer

Average performance across 1 common benchmarks

DeepSeek R1 Distill Qwen 7B

+12.3%

Average Score:49.1%

Phi-3.5-MoE-instruct

Average Score:36.8%

Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 7B

math

+23.8%

92.8%

code

37.6%

general

+5.3%

66.2%

Phi-3.5-MoE-instruct

math

69.0%

code

+38.1%

75.8%

general

60.9%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek R1 Distill Qwen 7B

0 providers

Phi-3.5-MoE-instruct

0 providers

DeepSeek R1 Distill Qwen 7B

+12.3%

Avg Score:49.1%

Providers:0

Phi-3.5-MoE-instruct

Avg Score:36.8%

Providers:0