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GPT 5.5

GPT 5.5 is the standard tier of the GPT-5.5 model family, advancing the GPT-5 series with stronger intent understanding, deeper autonomous work, and improvements across coding, research, data analysis, and document creation. Your use is subject to OpenAI's Terms & Privacy Policies.

View API reference
Input and output price
Prices from: Input $5, Output $30, Per 1M tokens
24h uptime
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import { streamText } from 'ai'
const result = streamText({
model: 'openai/gpt-5.5',
prompt: 'Why is the sky blue?'
})
Read docs

Copy link to headingPlayground

Try out GPT 5.5 by OpenAI. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.

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GPT 5.5

Copy link to headingProviders

Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.

Provider
Context
Max Output
Latency
Throughput
Input
Output
Cache
Web Search
Capabilities
ZDR
No Training
Regional Inference
Free Tier
Release Date
1M128K1.5 s59 tps
$5/M+4 more
$30/M+4 more
Read$0.50/M
$10/K
+4
US
04/24/2026
272K272K3.2 s78 tps
$5/M+1 more
$30/M+1 more
Read$0.50/M
$14/K
+3
04/24/2026
272K272K1.2 s172 tps
$5.50/M
$33/M
Read$0.55/M
+3
04/24/2026

Copy link to headingUptime

Direct request success rate on AI Gateway and per-provider. Visit the docs for more info.

Copy link to headingThroughput

P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.

Copy link to headingLatency

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the docs for more info.

Getting started

Call GPT 5.5 through AI Gateway with the AI SDK generateText and streamText functions, or through the OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages APIs by changing the base URL. AI Gateway authenticates the request and routes it to an available provider.

Install the AI SDK (pnpm add ai dotenv), create an API key from the API Keys page, and set it as AI_GATEWAY_API_KEY in your environment. Full setup is covered in the text generation quickstart.

index.ts
import { generateText } from 'ai';
import 'dotenv/config';
async function main() {
const result = await generateText({
model: 'openai/gpt-5.5',
prompt: 'Why is the sky blue?',
});
console.log(result.text);
}
main().catch(console.error);

Top-level parameters

The same GPT 5.5 request in each API format AI Gateway supports.

top-level-params.ts
import { generateText } from 'ai';
import 'dotenv/config';
async function main() {
const result = await generateText({
model: 'openai/gpt-5.5',
system: 'You are a concise technical assistant.',
prompt: 'Summarize the tradeoffs between static generation and SSR.',
maxOutputTokens: 1024,
});
console.log(result.text);
}
main().catch(console.error);

Standard parameters like prompt, messages, temperature, and tools work as documented in the AI SDK docs. These are the parameters with model-specific behavior.

ParameterTypeRequiredDescription
modelstringYesModel ID in the form creator/model, e.g. openai/gpt-5.5. AI Gateway routes the request to an available provider.
maxOutputTokensnumberNoHard cap on generated tokens. GPT 5.5 supports up to 272,000 output tokens. Reasoning tokens count toward this limit.
reasoning'provider-default' | 'none' | 'minimal' | 'low' | 'medium' | 'high' | 'xhigh'NoProvider-agnostic reasoning effort, available in AI SDK 7 or later. Maps to the provider’s native reasoning configuration; reasoning settings under providerOptions take precedence when both are set. See the Reasoning section below.
providerOptionsRecord<string, JSONValue>NoAI Gateway routing options under gateway, plus any provider-native options under the provider’s own namespace — see the table below.

Input limits

InputFormatsSourcesMax countMax sizeLimits
TextPrompt and response share the 1M-token context window
ImageURL, base64, Uint8ArraySent as image parts in messages; counts as input tokens
PDFURL, base64, Uint8ArraySent as file parts in messages; counts as input tokens

Provider options

Set AI Gateway routing options under providerOptions.gateway. For provider-specific options, pass them under the provider’s namespace as documented by the AI SDK.

Learn more in the AI SDK openai provider docs.

provider-options.ts
import { generateText } from 'ai';
import 'dotenv/config';
async function main() {
const result = await generateText({
model: 'openai/gpt-5.5',
prompt: 'Why is the sky blue?',
providerOptions: {
gateway: {
only: ['openai', 'azure'],
},
},
});
console.log(result.text);
}
main().catch(console.error);

These AI Gateway routing options apply to every model. Provider-specific options pass through under the provider’s own namespace (for example providerOptions.anthropic) exactly as documented by the AI SDK.

ParameterTypeRequiredDescription
providerOptions.gateway.onlystring[]NoRestrict routing to these provider slugs. Requests fail over only within the listed providers.
providerOptions.gateway.orderstring[]NoPreferred provider order. Listed providers are tried first; unlisted providers remain available as fallbacks.
providerOptions.gateway.sort'cost' | 'ttft' | 'tps'NoRank candidate providers by price, time to first token, or tokens per second instead of the default routing order.
providerOptions.gateway.zeroDataRetentionbooleanNoRoute only to providers with a zero-data-retention policy for this model.

Routing across providers

AI Gateway serves the same model through multiple providers and fails over automatically. order expresses a preference while keeping every provider eligible; only is a hard allowlist — if none of the listed providers are available the request fails instead of falling back.

Options under a provider's own namespace (for example providerOptions.anthropic) are forwarded to that provider with the request. Providers ignore option namespaces that don't apply to them, so it is safe to set provider options alongside gateway routing options.

Reasoning

AI Gateway bridges reasoning across every API format. The AI SDK exposes a provider-agnostic top-level reasoning level (none, minimal, low, medium, high, or xhigh); the Chat Completions and Responses formats take the same effort under reasoning.effort; and the Anthropic Messages format uses a native thinking token budget. Whichever you send, the gateway maps it to the target model’s native configuration, converting between effort levels and token budgets as needed. Reasoning-related settings under providerOptions take full precedence over the top-level reasoning value and are never merged. Reasoning tokens typically count toward your output-token usage, though how they’re reported and billed varies by provider.

Learn more in the AI Gateway reasoning guide.

reasoning.ts
import { generateText } from 'ai';
import 'dotenv/config';
async function main() {
const result = await generateText({
model: 'openai/gpt-5.5',
prompt: 'Explain the Monty Hall problem step by step.',
reasoning: 'high',
});
console.log(result.text);
}
main().catch(console.error);

Image input

Send images alongside text as message parts. Images count as input tokens.

image-input.ts
import { generateText } from 'ai';
import 'dotenv/config';
async function main() {
const result = await generateText({
model: 'openai/gpt-5.5',
messages: [
{
role: 'user',
content: [
{ type: 'text', text: 'Describe this image.' },
{ type: 'image', image: 'https://example.com/photo.jpg' },
],
},
],
});
console.log(result.text);
}
main().catch(console.error);

PDF input

Attach PDFs as file parts. Their contents count as input tokens.

pdf-input.ts
import { generateText } from 'ai';
import 'dotenv/config';
async function main() {
const result = await generateText({
model: 'openai/gpt-5.5',
messages: [
{
role: 'user',
content: [
{ type: 'text', text: 'Summarize this document.' },
{
type: 'file',
mediaType: 'application/pdf',
data: 'https://example.com/document.pdf',
},
],
},
],
});
console.log(result.text);
}
main().catch(console.error);

Tool calling

Expose tools the model can call. Define each tool’s inputs with a Zod schema.

tool-calling.ts
import { generateText, tool } from 'ai';
import { z } from 'zod';
import 'dotenv/config';
async function main() {
const result = await generateText({
model: 'openai/gpt-5.5',
prompt: 'What is the weather in San Francisco?',
tools: {
getWeather: tool({
description: 'Get the current weather for a location',
inputSchema: z.object({ location: z.string() }),
execute: async ({ location }) => ({ location, temperatureC: 18 }),
}),
},
});
console.log(result.text);
}
main().catch(console.error);

Fast mode

GPT 5.5 can run in fast mode for lower latency by appending -fast to the model ID.

fast-mode.ts
import { generateText } from 'ai';
import 'dotenv/config';
async function main() {
const result = await generateText({
model: 'openai/gpt-5.5-fast',
prompt: 'Why is the sky blue?',
});
console.log(result.text);
}
main().catch(console.error);

Copy link to headingMore models by OpenAI

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$2.50/M+2 more
$15/M+2 more
Read$0.25/M
$10/K
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400K4.7 s231 tps
$0.05/M
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+3
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GPT 5.5 became available on April 24, 2026 on AI Gateway as the standard tier of the GPT-5.5 model family. OpenAI positions it as a model that understands what you're trying to do faster and can carry more of the work itself, extending the agentic gains of the GPT-5.x line.

The model excels at writing and debugging code, researching online, analyzing data, creating documents and spreadsheets, scheduling, learning, and answering everyday personal questions. It supports tool use, web search, implicit caching, file inputs, and vision, giving developers a single model that fits across coding, research, and knowledge-work pipelines.

With a context window of 1M tokens and up to 272K tokens output tokens, GPT 5.5 handles long inputs and produces substantial outputs in a single pass. Pricing is $5 per million input tokens and $30 per million output tokens, with cached input billed at $0.5. Integrate GPT 5.5 through the AI SDK, Chat Completions API, or Responses API depending on your stack.

Copy link to headingWhat To Consider When Choosing a Provider

  • Configuration: GPT 5.5 understands what you're trying to do faster and can carry more of the work itself than earlier GPT-5.x generations. It is a general-purpose model that handles code, research, data analysis, document creation, and conversational assistance from a single architecture.
  • Configuration: It launches alongside the higher-capability pro variant. Use the standard tier for everyday production traffic and route the hardest queries to GPT-5.5 Pro when the quality difference justifies the cost.
  • Zero Data Retention: Zero Data Retention is available for this model. It is offered on a per-provider and model basis. See the documentation for details.
  • Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.

Copy link to headingWhen to Use GPT 5.5

Best for

  • Code writing and debugging: Development assistance, refactoring, and bug diagnosis across substantial codebases
  • Online research: Multi-source research synthesis with web search and tool use
  • Data analysis: Spreadsheet generation, structured analysis, and quantitative reasoning over tabular inputs
  • Document creation: Reports, plans, and long-form writing where the model carries more of the drafting work
  • Agentic workflows: Complex tasks that combine tools, file inputs, vision, and multi-step planning

Consider alternatives when

  • Hardest queries: GPT-5.5 Pro applies higher capability for the most demanding analysis
  • Cost optimization: Earlier GPT-5.x mini or nano tiers for high-volume routine traffic
  • Specialized coding agents: GPT-5.x codex variants for autonomous software engineering in sandboxed environments
  • Pure chain-of-thought: The o-series reasoning models when mathematical or scientific reasoning dominates

GPT 5.5 extends the GPT-5 series with stronger intent understanding and a wider range of autonomous work, available through AI Gateway. It is the standard tier of the GPT-5.5 family for general-purpose coding, research, and knowledge work.

Copy link to headingFrequently Asked Questions

  • How does GPT 5.5 improve over earlier GPT-5.x models?

    It understands what you're trying to do faster and carries more of the work itself, with measurable gains in code writing and debugging, online research, data analysis, and document creation.

  • What context window does GPT 5.5 support?

    1M tokens, with up to 272K tokens output tokens per request. That is enough for full codebases, long research dossiers, and extended conversation histories in a single call.

  • Which APIs can I use to call GPT 5.5?

    Call GPT 5.5 through the AI SDK, the Chat Completions API, or the Responses API. AI Gateway accepts requests in each format and routes them to the model.

  • Does GPT 5.5 support tool use and web search?

    Yes. Tags include reasoning, tool use, web search, implicit caching, file input, and vision. You can wire up function calling, browsing tools, and file or image inputs through the AI SDK or the Responses API.

  • What does GPT 5.5 cost?

    Standard list pricing is $5 per million input tokens and $30 per million output tokens, with cached input at $0.5. Pricing on this page is sourced from each provider routed through AI Gateway and updates when those providers change list prices.

  • Does GPT 5.5 support zero data retention through AI Gateway?

    Yes, Zero Data Retention is available for this model. Zero Data Retention is offered on a per-provider basis. See https://vercel.com/docs/ai-gateway/capabilities/zdr for details.

  • How does AI Gateway handle authentication for GPT 5.5?

    AI Gateway accepts a single API key or OIDC token for all requests. You don't embed OpenAI credentials in your application; AI Gateway routes and authenticates on your behalf.

  • What are typical latency characteristics?

    This page shows live throughput and time-to-first-token metrics measured across real AI Gateway traffic.