GPT-4o
OpenAI · GPT-4o
Production-grade multimodal model balancing quality, speed, and broad API usability.
Overview
Freshness note: Model capabilities, limits, and pricing can change quickly. This profile is a point-in-time snapshot last verified on February 15, 2026.
GPT-4o is OpenAI’s widely deployed multimodal model tier for mixed workloads across text, vision, and tool-enabled workflows. It is designed for teams needing reliable assistant behavior in production systems.
Capabilities
The model handles instruction-following, general analysis, structured outputs, and multimodal interpretation with strong consistency. It is suitable for customer-facing copilots, workflow automation, and broad product integrations.
Technical Details
GPT-4o supports a large context window and practical output budget for production tasks. It is often used as a default model where teams need one tier that can serve multiple use cases without complex routing.
Pricing & Access
Available via OpenAI API and product surfaces with published per-token pricing. Teams should verify current rates and model options in official OpenAI docs before budget commitments.
Best Use Cases
Use GPT-4o for mixed assistant flows, multimodal support tasks, API-backed product copilots, and systems that require stable quality across diverse requests.
Comparisons
Compared with GPT-4o mini, GPT-4o usually offers higher quality on complex reasoning and multimodal tasks. Compared with Gemini 2.5 Flash, tradeoffs often depend on ecosystem fit and latency goals. Compared with Claude Sonnet 4.5, differences are usually strongest in style and platform integration preferences.