AI Reasoning & Agentic Models
The most capable AI models available — built specifically for hard problems that require multi-step thinking, careful planning, and checking their own work. These are the tools to reach for when a standard AI assistant gives you a shallow or wrong answer on something that genuinely requires deeper reasoning.
ChatGPT
Engage in dynamic conversations, debug code, and generate creative content with advanced AI.
AI Reasoning & Agentic Models
Reasoning models are a distinct class of AI — they take more time before responding, check their own work, and decompose complex problems into steps rather than pattern-matching to a quick answer. They're designed for tasks where accuracy matters and a fast-but-wrong answer is worse than no answer: hard math and logic problems, complex code analysis, multi-step research, and careful judgment calls.
What "agentic" means here
Agentic models can not only reason through a problem but take actions to gather more information — running searches, executing code, reading documents — before producing a final response. This makes them useful for tasks that require multiple steps of research and synthesis, not just a single question and answer.
Current leading options
- OpenAI o-series — reasoning-focused models with explicit chain-of-thought processing.
- Claude Opus — Anthropic's most capable model, particularly strong at long-context analysis and careful instruction following.
- DeepSeek V3 — a competitive open-source reasoning model that caught significant attention for matching frontier model performance at lower cost.
Also explore in Large Language Models (LLMs)
AI Enterprise & Specialized LLMs
Deploy AI with the compliance controls, data isolation, and performance guarantees that enterprise security and legal teams actually approve. These platforms bring the capability of frontier AI models into enterprise environments with the governance, audit trails, and SLAs that large organizations require.
AI Multimodal Models (Vision, Audio, Text)
Work with AI that understands images, audio, documents, and text all at once — ask questions about a photo, analyze a chart, describe what's in a document, or generate images within the same conversation. These models handle the mixed reality of how we actually work, not just text in a chat box.
AI Open-Source & Open-Weight LLMs
Run powerful AI models on your own infrastructure, fine-tune them on your data, and keep your information entirely under your control. The open-source model ecosystem has caught up significantly with closed commercial models and gives developers real options for self-hosted AI.
AI Small & Efficient Models (On-Device)
Run capable AI models directly on your laptop or phone — no internet connection, no data leaving your device. These small, efficient models have gotten surprisingly good for common tasks, and the performance-per-dollar math now makes on-device AI practical for privacy-sensitive and offline use cases.
General-Purpose AI Chat Assistants
The AI assistants most people actually use every day — ChatGPT, Claude, Gemini, and Copilot. These are the general-purpose tools that handle writing, research, analysis, coding help, brainstorming, and almost anything else you'd want to think through with a capable, knowledgeable assistant.