Comprehensive side-by-side LLM comparison
o3 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
OpenAI o3-pro, released by OpenAI in June 2025, is an extended reasoning model from the o3 family that applies more compute per response to deliver deeper, more thorough answers on complex problems. It features a 200K token context window, 100K maximum output tokens, and vision capabilities. o3-pro targets research-grade reasoning tasks, extended coding sessions, and applications where accuracy on difficult problems justifies higher inference cost and latency.
Microsoft
Phi-3.5-MoE-instruct is a sparse mixture-of-experts model from Microsoft's Phi research team, released in August 2024 with 42 billion total parameters across 16 experts and approximately 6.6 billion active parameters per forward pass. The model applies Microsoft's small-data, high-quality training philosophy — developed across earlier Phi generations — to a MoE architecture, targeting reasoning quality comparable to much larger dense models at a fraction of the inference compute. Released under the MIT license, it was notable in the research community for demonstrating that MoE efficiency gains could be realized at smaller total parameter counts than typical large-scale MoE deployments.
9 months newer

Phi-3.5-MoE Instruct
Microsoft
2024-08-22

o3 Pro
OpenAI
2025-06-10
Context window and performance specifications
Available providers and their performance metrics
o3 Pro
OpenAI
Phi-3.5-MoE Instruct
o3 Pro
Phi-3.5-MoE Instruct
o3 Pro
Phi-3.5-MoE Instruct