OpenAI API
What is OpenAI API?
TL;DROpenAI API provides developer infrastructure for building applications with AI models and tools. It supports text, reasoning, vision, audio, image generation, structured outputs, retrieval, and agentic workflows for products, automation, assistants, and developer tools.
- Responses API and model access
- Web, file, and computer-use tools
- Vision, audio, image, and text capabilities
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About
OpenAI API is the developer platform for building applications with OpenAI models and tools. Developers use it for text and code generation, reasoning, vision, image generation, speech, embeddings, structured outputs, web search, file search, computer use, and agentic workflows.
For founders and builders, the OpenAI API is an application infrastructure layer rather than a consumer chatbot. It can power support agents, coding assistants, research products, content systems, search experiences, internal automation, voice interfaces, and multimodal applications. The Responses API and SDK ecosystem make it possible to combine models with tools and application logic in production workflows.
The current model lineup and API capabilities can vary over time, while pricing is usage based. Total cost depends on model, input and output tokens, cached context, tool calls, and processing mode. Developers should consult the current official API documentation when selecting models and estimating production costs.
The main tradeoff is variable cost and vendor dependence. Teams should monitor token usage, latency, model selection, and tool calls and compare OpenAI with other model providers when designing a production stack.
Use Cases
Build AI agents
Combine models with tools, structured outputs, and application logic to create production AI agents.
Add AI to SaaS products
Power copilots, support assistants, search, content generation, and intelligent workflows inside a product.
Build multimodal applications
Process text, images, audio, and other supported inputs for richer user experiences.
Create AI developer tools
Build coding assistants, documentation tools, research systems, and automated development workflows.
Key Features
- Responses API and model access
- Web, file, and computer-use tools
- Vision, audio, image, and text capabilities
- Structured outputs and agentic workflows
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Pricing summary
OpenAI API uses usage-based pricing. Current GPT-5.6 rates are $1/$6 per 1M input/output tokens for Luna, $2.50/$15 for Terra, and $5/$30 for Sol.
Pricing & Plans
GPT-5.6 Luna
Cost-sensitive model for high-volume workloads
$1/month
- $1 input per 1M tokens
- $0.10 cached input per 1M tokens
- $1.25 cache writes per 1M tokens
- $6 output per 1M tokens
Popular
GPT-5.6 Terra
Balanced model for intelligence and cost
$2.50/month
- $2.50 input per 1M tokens
- $0.25 cached input per 1M tokens
- $3.125 cache writes per 1M tokens
- $15 output per 1M tokens
GPT-5.6 Sol
Flagship model for complex reasoning and coding
$5/month
- $5 input per 1M tokens
- $0.50 cached input per 1M tokens
- $6.25 cache writes per 1M tokens
- $30 output per 1M tokens
Other pricing notes
- Actual costs vary by model, cached input, output tokens, tools, context, and processing mode.
- These are representative GPT-5.6 rates, not the complete API price list.
Pricing last checked: August 2026Official pricing
Pros & Cons
Pros
- Broad multimodal model ecosystem
- Strong developer documentation and SDKs
- Large production ecosystem
- Built-in tools for agent workflows
- Multiple models for different cost and quality needs
Cons
- Usage costs can scale quickly
- Vendor lock-in is a consideration
- Model behavior changes over time
- Production systems need usage monitoring
- Choosing the right model can be complex
The Best OpenAI API Alternatives
The best OpenAI API alternatives are Claude API, Gemini API, and Groq.
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