Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 6.4% higher average benchmark score. o3 offers 44.0K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $9.80 cheaper per million tokens. o3 supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
OpenAI
o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 67.5% across 22 benchmarks. It excels particularly in COLLIE (98.4%), AIME 2024 (91.6%), ARC-AGI (88.0%). It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
7 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
o3
OpenAI
2025-04-16
Cost per million tokens (USD)
o3
Phi-3.5-mini-instruct
Context window and performance specifications
Average performance across 52 common benchmarks
o3
Phi-3.5-mini-instruct
o3
2024-05-31
Available providers and their performance metrics
o3
OpenAI
Phi-3.5-mini-instruct
o3
Phi-3.5-mini-instruct
o3
Phi-3.5-mini-instruct
Azure