Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 6.4% higher average benchmark score. o3-mini offers 44.0K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $5.30 cheaper per million tokens. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
OpenAI
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI'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
o3-mini
OpenAI
2025-01-30
Cost per million tokens (USD)
o3-mini
Phi-3.5-mini-instruct
Context window and performance specifications
Average performance across 53 common benchmarks
o3-mini
Phi-3.5-mini-instruct
o3-mini
2023-09-30
Available providers and their performance metrics
o3-mini
Azure
OpenAI
o3-mini
Phi-3.5-mini-instruct
o3-mini
Phi-3.5-mini-instruct
Phi-3.5-mini-instruct
Azure