Comprehensive side-by-side LLM comparison
Gemini 3 Pro supports multimodal inputs. Gemini 3 Pro is available on 2 providers. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 3 Pro, released by Google in November 2025, is a large language model from the Gemini 3 family designed for complex reasoning, broad world knowledge, and multi-step problem solving. It features a 1M token context window, 64K maximum output tokens, and native multimodal input including text, images, audio, and video. Gemini 3 Pro targets research-grade reasoning, advanced data analysis, and applications requiring comprehensive understanding across diverse input formats.
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.
1 year newer

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

Gemini 3 Pro
Google DeepMind
2025-11-18
Context window and performance specifications
Available providers and their performance metrics
Gemini 3 Pro
Google Cloud Vertex AI
Phi-3.5-MoE Instruct
Gemini 3 Pro
Phi-3.5-MoE Instruct
Gemini 3 Pro
Phi-3.5-MoE Instruct