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GPT 5.5 Pro

GPT 5.5 Pro is the higher-capability tier of the GPT-5.5 family, applying more compute per request for deeper analysis on the hardest tasks while keeping the same modalities and APIs as standard GPT-5.5. Your use is subject to OpenAI's Terms & Privacy Policies.

View API reference
Input and output price
Input $30, Output $180, Per 1M tokens
24h uptime
Loading AI Gateway uptime
import { streamText } from 'ai'
const result = streamText({
model: 'openai/gpt-5.5-pro',
prompt: 'Why is the sky blue?'
})
Read docs

Copy link to headingPlayground

Try out GPT 5.5 Pro 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.

openai logo
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GPT 5.5 Pro

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
1M128K
$30/M+3 more
$180/M+3 more
$14/K
+3
US
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 Pro 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-pro',
prompt: 'Why is the sky blue?',
});
console.log(result.text);
}
main().catch(console.error);

Top-level parameters

The same GPT 5.5 Pro 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-pro',
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-pro. AI Gateway routes the request to an available provider.
maxOutputTokensnumberNoHard cap on generated tokens. GPT 5.5 Pro supports up to 128,000 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-pro',
prompt: 'Why is the sky blue?',
providerOptions: {
gateway: {
only: ['openai'],
},
},
});
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-pro',
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-pro',
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-pro',
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-pro',
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);

Copy link to headingMore models by OpenAI

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Cache
Web Search
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08/07/2025

Copy link to headingAbout GPT 5.5 Pro

GPT 5.5 Pro became available on April 24, 2026 on AI Gateway as the higher-capability tier of the GPT-5.5 model family. It applies more compute per request than the standard GPT-5.5, producing deeper analysis and stronger output on the hardest coding, research, and knowledge-work tasks.

The pro tier supports the same modalities and APIs as standard GPT-5.5, including reasoning, tool use, web search, implicit caching, file inputs, and vision. The trade-off is higher list pricing in exchange for additional reasoning depth on tasks where the standard tier's capability ceiling is the binding constraint.

With a context window of 1M tokens and up to 128K tokens output tokens, GPT 5.5 Pro handles long inputs and produces substantial outputs in a single pass. Call it through the AI SDK, the Chat Completions API, or the Responses API. Pricing on this page reflects current rates from each provider routed through AI Gateway; compare $30 input and $180 output token pricing against standard GPT-5.5 when deciding which tier to route each request to.

Copy link to headingWhat To Consider When Choosing a Provider

  • Configuration: GPT 5.5 Pro is the pro tier of the GPT-5.5 family. It applies more compute per request than standard GPT-5.5, producing deeper analysis on hard problems at a higher list price. Modalities, tool support, and APIs match the standard tier.
  • Configuration: Most teams route only their hardest queries to GPT 5.5 Pro and use standard GPT-5.5 for routine traffic. A small routing layer keyed on query complexity is the practical pattern.
  • Zero Data Retention: Zero Data Retention 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 Pro

Best for

  • High-stakes analysis: Research, strategy, and complex reasoning where output quality directly drives outcomes
  • Critical code review: Architectural review and security audits where missing an issue has real consequences
  • Complex agentic workflows: Multi-step tasks that combine tools, browsing, and file inputs and need maximum reliability
  • Expert content creation: Long-form technical, legal, or financial writing where accuracy is paramount
  • Final-pass quality gates: Routing your hardest queries to GPT 5.5 Pro while standard GPT-5.5 handles routine traffic

Consider alternatives when

  • Standard workloads: GPT-5.5 handles the majority of production traffic without the pro tier premium
  • Cost-sensitive applications: Earlier GPT-5.x mini or nano tiers for high-volume routine work
  • 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 Pro provides the higher-capability tier of the GPT-5.5 family, applying more compute to the hardest tasks while preserving the same modalities and APIs as the standard model. For quality-critical traffic routed through AI Gateway, it is the premium tier of the GPT-5.5 lineup.

Copy link to headingFrequently Asked Questions

  • How does GPT 5.5 Pro differ from standard GPT-5.5?

    It applies more compute per request, producing deeper analysis on hard problems. Modalities, tool support, and APIs are the same; the difference is reasoning depth and list price.

  • When should I use GPT 5.5 Pro versus standard GPT-5.5?

    Route your hardest queries to GPT 5.5 Pro (critical code review, complex research, high-stakes analysis) and use standard GPT-5.5 for routine traffic. A routing layer keyed on query complexity is the practical pattern.

  • What context window does GPT 5.5 Pro support?

    1M tokens, with up to 128K tokens output tokens per request, matching the rest of the GPT-5.5 family.

  • Which APIs can I use to call GPT 5.5 Pro?

    Call GPT 5.5 Pro 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.

  • What does GPT 5.5 Pro cost?

    List pricing is $30 per million input tokens and $180 per million output tokens, with cached input at N/A. Compare these rates against standard GPT-5.5 when deciding which tier each request belongs in. Pricing on this page updates when providers change list prices.

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

    Zero Data Retention is not currently 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 Pro?

    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. Additional compute per request typically increases time-to-first-token compared to standard GPT-5.5.