OCI Generative AI has grown fast—Cohere, Google, Meta, OpenAI, xAI—all available, each with multiple variants. Every time I started a new project I had to dig through documentation to find the right model. So I built OCI LLM Comparison : a reference guide covering 30+ models with a guided selection wizard. What’s inside 24 chat models from 5 providers, with specs: context window, multimodal, tool use, reasoning, fine-tuning support 9 embedding models and 1 reranking model for RAG pipelines A model selection wizard — filter by task, performance tier, and context needs to get a top-3 recommendation Provider summary Provider Models Strength Cohere 5 RAG, fine-tuning Google Gemini 3 Multimodal, long context (up to 1M tokens) Meta Llama 5 Open weights, MoE efficiency OpenAI gpt-oss 2 Reasoning, agents xAI Grok 6 2M context, code specialization Data is sourced from OCI official docs and kept up to date. Check it out at enricopesce.github.io/oci-llm-comparison .

















