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 .