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gpt-5-pro

OpenAI Responses/🇺🇸 US/chat

GPT-5 Pro is OpenAI’s extended-reasoning tier of GPT-5, built to push reliability on hard problems, long tool chains, and agentic workflows. It keeps GPT-5’s multimodal skills and very large context (API page lists up to 400K tokens) while allocating more compute to think longer and plan better, improving code generation, math, and complex writing beyond standard GPT-5/“Thinking.” OpenAI positions Pro as the version that “uses extended reasoning for even more comprehensive and accurate answers,” targeting high-stakes tasks and enterprise use.More
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Which id to call

openai-responses/gpt-5-pro

This exact deployment on OpenAI Responses, with no routing and no failover. Send it as the model field.

Input /1M

$15.00

OpenAI Responses

Output /1M

$120.00

8.0x input

Context

400K

272K output

Added

Oct 2025

chat

Capabilities 5/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

Provider rates

What gpt-5-pro costs

Provider prices per 1M tokens, updated September 8, 2026.more

These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.

Input /1M

$15.00

Output /1M

$120.00

Cache write /1M

-

Cache read /1M

-

What a workload costs

100K input + 10K output
$2.70
1M input + 100K output
$27.00
10M input + 1M output
$270.00

At the rates above. This endpoint does not offer prompt caching, so repeated context is billed as new input every time.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to openai-responses/gpt-5-pro. Existing OpenAI SDK code needs no other edit.

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from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="openai-responses/gpt-5-pro", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Reference

Specs and data terms

What the catalog reports for this deployment, and what the provider does with the traffic.

Context window400K tokens
Max output272K tokens
API typechat
AddedOct 2025
Model id
Data retentionYes, 30 days
Used for trainingNo
Served from🇺🇸 US

Public leaderboards

Benchmark scores

Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.

No benchmarks are published for this exact variant yet.

Region-specific deployments and highspeed tiers usually share scores with their base model. Try the base model page or the OpenAI Responses models overview.

Same provider

More from OpenAI Responses

Newest first, on the same provider and the same key.

Reference

gpt-5-pro questions

How much does gpt-5-pro cost?

gpt-5-pro is priced at $15.00 per million input tokens and $120.00 per million output tokens when accessed via Requesty. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

What is the context window of gpt-5-pro?

gpt-5-pro has a context window of 400K tokens, with a maximum output of 272K tokens per response. That's roughly 533 words of input you can fit in a single prompt.

What can gpt-5-pro do?

gpt-5-pro supports vision input, tool calling, extended reasoning, web search, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.

How do I use gpt-5-pro with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "openai-responses/gpt-5-pro". The Quickstart above shows Python, JavaScript and cURL snippets.

Can I run gpt-5-pro through Requesty?

Yes. gpt-5-pro runs through Requesty's OpenAI-compatible API, served from OpenAI Responses. You do not host the model yourself: point base_url at Requesty, set the model to "openai-responses/gpt-5-pro", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

Call gpt-5-pro through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.