GPT-5.5 is OpenAI’s advanced reasoning model for agentic coding, knowledge work, scientific research, and complex multi-step task execution.

Pricing: Input 280 credits / 1M tokens (≈ $1.40), Cached Input 28 credits / 1M tokens (≈ $0.14), Output 1680 credits / 1M tokens (≈ $8.40). ~72% cheaper than official pricing. High-tier top-ups (+10% bonus) bring effective pricing down to ≈ $1.27 (Input), ≈ $0.13 (Cached), and ≈ $7.64 (Output) per 1M tokens.
gpt-5-5-openai-resp

Automatically append previous messages to maintain multi-turn context. May increase token usage.

Function calling
Web Access
Reasoning effort
Stream Response

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README

Complete guide to using gpt-5-5

Affordable GPT-5.5 API for Advanced Coding and Reasoning

Build with affordable GPT-5.5 API on Kie.ai to power coding agents, research tools, workflow automation, and high-accuracy AI applications.
curl https://api.kie.ai/codex/v1/responses \
-H "Authorization: Bearer $KIE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5-5",
"input": "Summarize the trade-offs between monoliths and microservices.",
"reasoning": { "effort": "medium" },
"stream": false
}'
Reasoning

Choose the Right GPT-5.5 API Model for Thinking and Pro-Level Workflows

GPT-5.5 Thinking API

GPT-5.5 Thinking API is better suited for tasks that need slower, more deliberate reasoning rather than quick surface-level responses. It works well for coding logic, technical troubleshooting, research synthesis, long-document analysis, and multi-step planning where the model needs to understand context, compare information, and produce a more carefully reasoned result. For teams that need broader options across frontier reasoning, everyday work, and high-volume usage, consider the GPT-5.6 API, which introduces the Sol, Terra, and Luna variants in limited preview.

GPT-5.5 Pro API

GPT-5.5 Pro API is designed for more complex and accuracy-sensitive workloads that require stronger answer quality, better structure, and more complete reasoning. It is a stronger option for enterprise analysis, legal and financial review, advanced data science, technical research, and high-value workflows where developers need more dependable output for difficult tasks. Stay with GPT-5.5 for your current agentic coding workload, but move to the newer GPT-6 Astra API when software-building workflows would benefit from its coding support.

Why GPT-5.5 API Is a Stronger Upgrade from GPT-5.4 API

Build More Capable Coding Agents with GPT-5.5 API
01

Build More Capable Coding Agents with GPT-5.5 API

For coding products, GPT-5.5 API is not just a stronger code generator. It is more useful when the task involves understanding an existing system, planning changes, debugging across files, writing tests, and keeping track of implementation details over multiple steps. This makes it a strong fit for coding agents, developer assistants, repository analysis, and automated engineering workflows where reliability depends on how well the model can reason through the full development process. Terminal-Bench 2.0 performance rising to 82.7% gives this upgrade a useful benchmark signal, but the bigger value is its improved ability to stay oriented during complex coding work.
Turn Complex Knowledge Work into Structured Outputs with ChatGPT-5.5 API
02

Turn Complex Knowledge Work into Structured Outputs with ChatGPT-5.5 API

Many business and productivity workflows do not start with clean prompts. They start with scattered documents, spreadsheet data, meeting notes, customer context, research material, or incomplete instructions. ChatGPT-5.5 API is better positioned for these situations because it can help organize information, decide what matters, use tools when needed, and turn loose inputs into reports, summaries, plans, or structured deliverables. For products built around document intelligence, internal automation, business research, or professional assistants, ChatGPT-5.5 API offers a stronger foundation for moving from raw input to finished output.
Support Multi-Stage Scientific Research with GPT-5.5 API
03

Support Multi-Stage Scientific Research with GPT-5.5 API

Scientific and technical workflows often require a longer reasoning loop: forming a hypothesis, checking evidence, interpreting data, identifying uncertainty, and deciding what analysis should come next. GPT-5.5 API is better suited for this kind of work because it can support multi-stage research rather than only produce a single answer. It can be used in tools for biomedical analysis, quantitative research, technical review, research synthesis, and expert documentation. Benchmark improvements such as 80.5% on BixBench support its stronger technical reasoning, while the broader value lies in helping users move through complex research processes with clearer structure. When your GPT-5.5 workflow produces research materials that need clearer presentation, use GPT Image 2.5 API for image-to-image transformations that turn them into clearer visual explanations.
Run High-Intensity AI Workloads with Efficient ChatGPT-5.5 API Inference
04

Run High-Intensity AI Workloads with Efficient ChatGPT-5.5 API Inference

A stronger model is only useful for developers if it remains practical to run in real applications. ChatGPT-5.5 API is designed to combine higher intelligence with more efficient execution, maintaining real-world serving speed comparable to GPT-5.4 while using fewer tokens on some Codex-style tasks. This matters for coding agents, workflow automation, long-context applications, and high-volume AI products where cost, latency, and output quality all affect the user experience. The benefit is not only stronger reasoning, but a more deployable balance between capability and efficiency.
Strengthen Defensive Security Workflows with GPT-5.5 API
05

Strengthen Defensive Security Workflows with GPT-5.5 API

Cybersecurity is one of the areas where GPT-5.5 API needs careful positioning. The stronger angle is not unrestricted cyber automation, but safer support for defensive workflows such as code security review, vulnerability triage, secure development guidance, internal risk analysis, and security documentation. GPT-5.5 shows improved cybersecurity capability, including 81.8% on CyberGym, while also introducing stricter safeguards around higher-risk activity. This makes the model more suitable for responsible security assistance where developers need technical depth without weakening safety controls.
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How to Start Building with GPT-5.5 API on Kie.ai

  1. 1

    Step 1: Register, Log In, and Get Your GPT-5.5 API Key

    Create a Kie.ai account or log in to your existing dashboard, then generate your GPT-5.5 API key from the API section. This key connects your application to GPT-5.5 API access and gives you the starting point for testing prompts, building agents, and preparing production workflows.
  2. 2

    Step 2: Test GPT-5.5 API for Free in the Playground

    Before deploying, use the playground to test GPT-5.5 API with real prompts and workflow examples. You can evaluate coding tasks, long-context reasoning, tool-use scenarios, document analysis, and structured output quality without immediately committing to a full integration.
  3. 3

    Step 3: Configure GPT-5.5 API Requests for Your Application

    Set up your GPT-5.5 API request parameters based on your product needs, including prompt structure, input format, output requirements, context handling, and response behavior. For coding agents, research tools, and workflow automation products, this step helps align the model with your actual task flow.
  4. 4

    Step 4: Connect GPT-5.5 API to Your Backend or Agent Framework

    Integrate GPT-5.5 API into your backend service, AI agent framework, internal tool, or customer-facing application. Add the API key securely, connect user inputs and system prompts, and route model responses into the parts of your product that need reasoning, coding, analysis, or automation.
  5. 5

    Step 5: Monitor and Optimize GPT-5.5 API Performance

    After deployment, review GPT-5.5 API output quality, latency, token usage, and error patterns. Refine prompts, adjust workflow design, and optimize request handling so your application can deliver more reliable results across coding, research, document intelligence, and advanced AI automation use cases.

GPT-5.5 Benchmark Highlights Against Claude Opus 4.7, Gemini 3.1 Pro, and GPT-5.4

GPT-5.5 shows a clear upgrade over GPT-5.4 and performs strongly against Claude Opus 4.7 and Gemini 3.1 Pro across coding, knowledge work, computer use, tool use, advanced math, and cybersecurity evaluations. GPT-5.5 Pro also provides a stronger option for demanding browsing and advanced reasoning tasks, with standout results in BrowseComp and FrontierMath.
EvaluationGPT-5.5 ThinkingGPT-5.4 ThinkingGPT-5.5 ProGPT-5.4 ProClaude Opus 4.7Gemini 3.1 Pro
Terminal-Bench 2.082.70%75.10%——69.40%68.50%
GDPval84.90%83.00%82.30%82.00%80.30%67.30%
OSWorld-Verified78.70%75.00%——78.00%—
Toolathlon55.60%54.60%———48.80%
BrowseComp84.40%82.70%90.10%89.30%79.30%85.90%
FrontierMath Tier 1–351.70%47.60%52.40%50.00%43.80%36.90%
FrontierMath Tier 435.40%27.10%39.60%38.00%22.90%16.70%
CyberGym81.80%79.00%——73.10%—

What Developers Can Build with GPT-5.5 API for Advanced Workflows

Why Choose Kie.ai for GPT-5.5 API Integration?

  1. 01

    Affordable GPT-5.5 API Pricing for Scalable Development

    Kie.ai makes GPT-5.5 API pricing more practical for developers who need to test, iterate, and scale advanced AI applications without unnecessary cost pressure. Whether you are building coding agents, research assistants, workflow automation tools, or enterprise AI products, flexible pricing helps you control token usage while still accessing GPT-5.5’s stronger reasoning and automation capabilities.
  2. 02

    Complete GPT-5.5 API Documentation for Faster Setup

    Kie.ai provides complete GPT-5.5 API documentation to help developers move from testing to deployment with less friction. Clear API references, request examples, parameter guidance, and integration notes make it easier to configure prompts, manage responses, connect backend services, and build production-ready applications around GPT-5.5 API.
  3. 03

    24/7 GPT-5.5 API Service for Reliable Access

    Kie.ai supports 24/7 GPT-5.5 API service for developers and teams that need stable model access across different time zones and product environments. Continuous availability is especially important for customer-facing AI tools, internal automation systems, coding workflows, and business applications where interruptions can affect user experience and operational efficiency.

FAQs

What is GPT-5.5 API?

GPT-5.5 API is an advanced OpenAI model API for coding, reasoning, knowledge work, tool-based workflows, long-context analysis, and complex automation tasks.

What can developers build with GPT-5.5 API?

Developers can use GPT-5.5 API to build repository debugging agents, AI coding copilots, long-document research assistants, customer support agents, business reporting tools, workflow automation systems, and internal knowledge assistants. It is especially useful when an application needs to process complex inputs and produce structured, usable outputs.

What is GPT-5.5 Thinking API used for?

GPT-5.5 Thinking API is suited for harder reasoning tasks that require deeper analysis, careful planning, and stronger context understanding. It can support coding logic, technical troubleshooting, long-document research, policy analysis, document comparison, and multi-step professional workflows where quick surface-level responses are not enough.

What is GPT-5.5 Pro API best for?

GPT-5.5 Pro API is designed for more demanding workloads where accuracy, completeness, and answer quality matter most.

How much does GPT-5.5 API pricing cost?

GPT-5.5 API pricing depends on the selected model option, token usage, and platform pricing policy. In general, input tokens and output tokens are priced separately, and GPT-5.5 Pro API may cost more than the standard GPT-5.5 model because it is designed for harder, higher-accuracy tasks. Developers should review the current Kie.ai pricing page before deployment.

How do I get a GPT-5.5 API key?

To get a GPT-5.5 API key, create a Kie.ai account, log in to the dashboard, open the API section, and generate your key. After that, you can test GPT-5.5 API in the playground, configure request parameters, and connect the API key to your application, backend service, or AI agent framework.

Can I test GPT-5.5 API before deployment?

Yes. You can test GPT-5.5 API in the playground before integrating it into your product. Playground testing helps evaluate prompt behavior, reasoning quality, coding performance, document analysis, structured outputs, and token usage before moving into production.