Skip to content
Dashboard

GPT-5

GPT-5 is the standard tier of the GPT-5 model family, unifying advanced reasoning, coding, and multimodal capabilities in a single architecture that surpasses its predecessors across benchmarks while maintaining broad general-purpose utility.

View API reference
Input and output price
Prices from: Input $1.25, Output $10, Per 1M tokens
24h uptime
Loading AI Gateway uptime
import { streamText } from 'ai'
const result = streamText({
model: 'openai/gpt-5',
prompt: 'Why is the sky blue?'
})
Read docs

Copy link to headingPlayground

Try out GPT-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.

openai logo
openai logo

GPT-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
Free Tier
Release Date
400K128K5.0 s112 tps
$1.25/M
$10/M
Read$0.13/M
$14/K
+3
08/07/2025
400K128K4.7 s65 tps
$1.25/M+2 more
$10/M+2 more
Read$0.13/M
$10/K
+3
08/07/2025

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 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',
prompt: 'Why is the sky blue?',
});
console.log(result.text);
}
main().catch(console.error);

Top-level parameters

The same GPT-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',
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. AI Gateway routes the request to an available provider.
maxOutputTokensnumberNoHard cap on generated tokens. GPT-5 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 400K-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',
prompt: 'Why is the sky blue?',
providerOptions: {
gateway: {
only: ['azure', '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',
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',
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',
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',
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

Model
Context
Latency
Throughput
Input
Output
Cache
Web Search
Capabilities
Providers
ZDR
No Training
Free Tier
Release Date
1.1M2.9 s56 tps
$10/M+2 more
$50/M+2 more
Read$1/M
Write$12.50/M
$10/K
+4
azure logo
openai logo
09/04/2026
1.1M2.4 s156 tps
$0.20/M+2 more
$1.20/M+2 more
Read$0.02/M
Write$0.25/M
$10/K
+4
azure logo
bedrock logo
openai logo
07/09/2026
1.1M2.6 s69 tps
$2/M+2 more
$10/M+2 more
Read$0.20/M
Write$2.50/M
$10/K
+4
azure logo
bedrock logo
openai logo
07/09/2026
1.1M2.6 s94 tps
$2/M+2 more
$12/M+2 more
Read$0.20/M
Write$2.50/M
$10/K
+4
azure logo
bedrock logo
openai logo
07/09/2026
1.1M3.5 s88 tps
$2.50/M+2 more
$15/M+2 more
Read$0.25/M
$10/K
+4
azure logo
openai logo
03/05/2026
400K4.4 s208 tps
$0.05/M
$0.40/M
Read$0.005/M
$14/K
+3
azure logo
openai logo
08/07/2025

GPT-5 launched on August 7, 2025 as a generational leap over the GPT-4 family. Available through AI Gateway, it brings together advances in reasoning depth, coding proficiency, instruction following, and multimodal understanding in a single model.

The model supports a context window of 400K tokens, enabling developers to pass extensive codebases, long documents, or rich conversation histories in a single request. Combined with improved instruction adherence, GPT-5 follows complex multi-constraint specifications more reliably than its predecessors.

As the standard tier of the GPT-5 family, it sits alongside GPT-5 mini, GPT-5 nano, and GPT-5 pro, each targeting different points on the capability-cost spectrum. GPT-5 is the default choice when full GPT-5 family capability is the priority.

Copy link to headingWhat To Consider When Choosing a Provider

  • Configuration: GPT-5 provides the full capability of the GPT-5 architecture. It's the right choice when you need high overall quality across reasoning, coding, and creative tasks and cost is secondary to capability.
  • Configuration: For cost-sensitive deployments, consider GPT-5 mini or GPT-5 nano, which deliver much of the same architectural improvement at lower price points.
  • 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

Best for

  • Complex multi-step reasoning: Research analysis, strategic planning, and problems requiring extended deliberation
  • Advanced code generation: Full-repository comprehension, architectural decisions, and complex refactoring
  • Multimodal workflows: Processing images, documents, and text together in sophisticated analysis pipelines
  • High-stakes content generation: Legal drafting, technical documentation, and precision-critical writing
  • Agentic systems: Backbone model for autonomous agents that need the full capability of the GPT-5 family

Consider alternatives when

  • Cost-sensitive workloads: GPT-5 mini offers strong capability at a lower price point
  • Lightweight tasks: GPT-5 nano or GPT-4.1 nano handle classification and routing more efficiently
  • Specialized reasoning: The o-series reasoning models may outperform on pure mathematical and scientific reasoning tasks
  • Speed-critical applications: Smaller models provide faster time-to-first-token for real-time chat

GPT-5 advanced reasoning, coding, and multimodal capability when the GPT-5 family launched. For applications routed through AI Gateway that need the full GPT-5 family capability, it is the standard tier.

Copy link to headingFrequently Asked Questions

  • How does GPT-5 compare to GPT-4o?

    GPT-5 represents a generational improvement over GPT-4o across reasoning, coding, instruction following, and multimodal capabilities.

  • What context window does GPT-5 support?

    GPT-5 supports a context window of 400K tokens, enabling full-codebase analysis and extended document processing in a single request.

  • When should I use GPT-5 versus GPT-5 mini?

    Use GPT-5 when you need the highest-tier capability in the GPT-5 family. Use GPT-5 mini when you need strong performance at lower cost, particularly for high-volume production workloads.

  • Does GPT-5 support multimodal input?

    Yes. It accepts text and image inputs, enabling vision-based analysis, document processing with figures, and mixed-modality workflows.

  • How does AI Gateway handle authentication for GPT-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 is the pricing for GPT-5?

    See the pricing section on this page for today's rates. AI Gateway exposes each provider's pricing for GPT-5.

  • What are typical latency characteristics?

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

Your use is subject to OpenAI's Terms & Privacy Policies.