OpenAI

openai/gpt-5.5

1,050,000 context · $1.00 / M input tokens · $6.00 / M output tokens

GPT-5.5 is OpenAI's frontier model released on April 23, 2026, designed for complex professional workloads including agentic coding, computer use, and deep research.

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24H Status Monitor
97.07% uptime
8 hours agonow
Available

2026-07-09 05:16:53 UTC

Pricing

Pay-per-use

No upfront costs, pay only for what you use

20% of official price
Input$5.00 / M$1.00 / M Tokens
Output$30.00 / M$6.00 / M Tokens

API Usage

API Access Guide

Base URLhttps://api.ourtoken.ai/v1
API Endpointresponses
Full URLhttps://api.ourtoken.ai/v1/responses
Model IDgpt-5.5
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Code examples

Use the OurToken API endpoint for this model. The examples below use direct HTTP requests and the recommended endpoint for the model family.

curl https://api.ourtoken.ai/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-5.5",
    "input": "Hello!",
    "max_output_tokens": 256
  }'

Responses API Reference

Create a model response with the OpenAI Responses-compatible endpoint. This format supports text input, message arrays, tools, reasoning controls, and multi-turn response continuation.

Authorization

Content-Typeapplication/json
AuthorizationBearer YOUR_API_KEY

Request Body

FieldTypeRequiredDescription
modelstringRequiredModel ID to call.
inputstring | array<object>OptionalInput content as a string or a structured message array.
instructionsstringOptionalSystem or developer instructions applied to the response.
max_output_tokensintegerOptionalMaximum number of output tokens the model may generate.
temperaturenumberOptionalSampling temperature.
top_pnumberOptionalNucleus sampling parameter.
streambooleanOptionalWhether to return a streaming response.
toolsarray<object>OptionalTools available to the model.
tool_choicestring | objectOptionalControls how the model selects tools.
reasoningobjectOptionalReasoning configuration for models that support it.
previous_response_idstringOptionalPrevious response ID for continuing a conversation.
truncation"auto" | "disabled"OptionalControls automatic context truncation.

Response Body

FieldTypeRequiredDescription
idstringRequiredUnique response identifier.
object"response"RequiredObject type returned by the Responses API.
created_atintegerRequiredUnix timestamp when the response was created.
statusstringRequiredResponse lifecycle status.
modelstringRequiredModel that produced the response.
outputarray<object>RequiredArray of output items returned by the model.
output[].content[].textstringOptionalText content inside an output message item.
usageobjectOptionalToken usage information for the response.
usage.prompt_tokensintegerOptionalInput token count.
usage.completion_tokensintegerOptionalOutput token count.
usage.total_tokensintegerOptionalTotal token count.
usage.prompt_tokens_detailsobjectOptionalBreakdown of input token usage.
usage.prompt_tokens_details.cached_tokensintegerOptionalTokens served from cache.
usage.prompt_tokens_details.text_tokensintegerOptionalText token count.
usage.prompt_tokens_details.audio_tokensintegerOptionalAudio token count.
usage.prompt_tokens_details.image_tokensintegerOptionalImage token count.
usage.completion_tokens_detailsobjectOptionalBreakdown of output token usage.
usage.completion_tokens_details.text_tokensintegerOptionalText token count.
usage.completion_tokens_details.audio_tokensintegerOptionalAudio token count.
usage.completion_tokens_details.reasoning_tokensintegerOptionalReasoning token count.

Model Introduction

OpenAI gpt-5.5

GPT-5.5 is OpenAI's frontier model released on April 23, 2026, designed for complex professional workloads including agentic coding, computer use, and deep research.

Building on GPT-5.4, GPT-5.5 delivers stronger reasoning, higher reliability with 60% fewer hallucinations, and improved token efficiency. It matches GPT-5.4 per-token latency while performing at a significantly higher level of intelligence, with a 1M+ token context window and support for text and image inputs.

Why It Looks Great

  • Frontier-class reasoning with 88.7% SWE-bench Verified and 92.4% MMLU scores.
  • 1M token context window for large-scale reasoning, coding, and multimodal workflows.
  • 60% fewer hallucinations compared to GPT-5.4 with improved token efficiency.
  • Three variants: standard, Thinking (extended reasoning), and Pro (highest accuracy).
  • Same per-token latency as GPT-5.4 despite the intelligence leap.

Key Features

  • Context Window: 1050000 tokens
  • Max Input: 922000 tokens
  • Max Output: 128000 tokens
  • Vision: Supported
  • Function Calling: Supported
  • Thinking Mode: Supported (low / medium / high / xhigh effort levels)
  • Variants: GPT-5.5, GPT-5.5 Thinking, GPT-5.5 Pro

Specifications

ProviderOpenAI
Model TypeLarge Language Model (LLM)
ArchitectureTransformer (Frontier)
Context Window1050000 tokens
Max Input922000 tokens
Max Output128000 tokens
InputText, Image
OutputText
VisionSupported
Function CallingSupported
Thinking ModeSupported
Release DateApril 23, 2026

GPT 5.5 API Features for Developers

Use GPT 5.5 API on OurToken for API access, GPT 5.5 API pricing clarity, coding workflows, long context, and structured output.

API Access

Call GPT 5.5 API through OurToken's unified endpoint and keep your integration close to an OpenAI-compatible workflow. Teams can test GPT 5.5, compare provider options, and move from evaluation to production without rebuilding every API connection.

Pricing Clarity

Review GPT 5.5 API pricing before you scale high-volume traffic. OurToken surfaces input and output token costs, so teams searching for GPT 5.5 API price details can estimate spend for coding, research, and agent workloads.

Coding Workflows

Use GPT 5.5 for code review, debugging, refactoring, software planning, and agent-style engineering tasks. It also supports Codex-like workflows where users compare codex 5.5, gpt codex 5.5, codex 5.5 pricing, and codex pricing expectations.

Long Context

Use GPT 5.5 API when your application needs long documents, complex prompts, research notes, and code-heavy projects in one workflow. The large context window helps the model keep more instructions and evidence available during multi-step reasoning.

Multimodal Input

Send text and image inputs when your product needs visual context, document understanding, or multimodal analysis. GPT 5.5 API can support product teams building API features that combine language reasoning with image-based information.

Structured Output

Build cleaner application logic with function calling and structured responses. GPT 5.5 API can support workflows where your app needs predictable output formats, tool calls, and reliable responses for downstream automation.

How to Use GPT 5.5 API on OurToken

Start with an API key, choose GPT 5.5 API, compare pricing, then test coding, structured output, and production quality.

Generate API Key

Create an OurToken API key and store it in a secure server-side environment variable. This gives your backend a stable way to call GPT 5.5 API without exposing credentials in client-side code.

01

Select Model ID

Use gpt-5.5 as the model value when sending chat completions requests. Keep the page focused on GPT 5.5 API access, and document the model ID clearly for developers who are comparing provider routes.

02

Call Unified API

Send requests through the OurToken unified API endpoint with an OpenAI-compatible client. This lets teams test GPT 5.5, compare API behavior, and avoid rewriting code for each provider or routing option.

03

Compare Pricing

Before production rollout, compare GPT 5.5 API pricing against expected request volume, prompt size, and output length. Use the displayed GPT 5.5 API price to estimate coding, research, and agent workflow costs.

04

Configure Outputs

Add structured output rules, JSON schemas, or function calling when your app needs predictable responses. GPT 5.5 API can be tested with tool workflows before you connect it to production automation.

05

Test Codex Workflows

Run representative coding tasks such as review, debugging, patch planning, and agent instructions. This is where codex 5.5, codex gpt 5.5, and gpt codex 5.5 search intent can be addressed without confusing the API setup.

06

GPT 5.5 API FAQ

Answers about GPT 5.5 API pricing, access, coding workflows, Codex-related searches, ChatGPT Plus, and provider comparisons.

01

What is GPT 5.5 API?

GPT 5.5 API is an API route for using OpenAI's GPT 5.5 model in applications that need long-context reasoning, coding support, image input, and structured output. On OurToken, teams can evaluate GPT 5.5 API alongside pricing, model ID details, and unified access.
02

How much does GPT 5.5 API pricing cost on OurToken?

GPT 5.5 API pricing on OurToken follows the page's current model data: $1.00 per million input tokens and $6.00 per million output tokens, with original pricing shown as $5.00 and $30.00. Use the GPT 5.5 API price to estimate spend before scaling traffic.
03

How do I access GPT 5.5 API?

Create an OurToken API key, use the unified endpoint, and send gpt-5.5 as the model value. This gives developers a direct GPT 5.5 API workflow while keeping provider access, pricing review, and production testing in one place.
04

Is GPT 5.5 API useful for Codex workflows?

Yes. GPT 5.5 API can support coding workflows such as debugging, code review, refactoring, and agent-style planning. Search terms like codex 5.5, gpt codex 5.5, codex gpt 5.5, codex 5.5 pricing, and codex pricing usually point to these developer use cases.
05

Is GPT 5.5 API the same as ChatGPT Plus?

No. ChatGPT Plus is a subscription product for using ChatGPT in the ChatGPT app, while GPT 5.5 API is for developers building their own products and workflows. If users search chatgpt plus or chat gpt 5.5, answer the difference clearly and point API users to OurToken.
06

How should I compare GPT 5.5 API providers?

Compare providers by GPT 5.5 API availability, latency, reliability, pricing, structured output support, and function calling behavior. For production, test your own prompts because provider performance and routing quality can change across workloads and traffic patterns.