+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Qwen 1.5B vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 48.0% higher average benchmark score. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
+
+
+
+
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-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
5 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
+
+
+
+
DeepSeek R1 Distill Qwen 1.5B
Average Score:5.5%
+
+
+
+
Phi-3.5-mini-instruct
Average Score:53.5%(+48.0%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Qwen 1.5B
0 providers
+
+
+
+
Phi-3.5-mini-instruct
1 providers
Azure
+
+
+
+
DeepSeek R1 Distill Qwen 1.5B
Avg Score:5.5%
Providers:0
+
+
+
+
Phi-3.5-mini-instruct
Avg Score:53.5%(+48.0%)
Providers:1