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openai-responses/gpt-5.4-pro

Microsoft Azure AI/@eastus2/chat

GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs. Optimized for step-by-step reasoning, instruction following, and accuracy, GPT-5.4 Pro excels at agentic coding, long-context workflows, and multi-step problem solving.More

Which id to call

azure/openai-responses/gpt-5.4-pro@eastus2

This exact deployment on Microsoft Azure AI in eastus2, with no routing and no failover. Send it as the model field.

Input /1M

$30.00

$30.00 cached

Output /1M

$180.00

6.0x input

Context

1.1M

128K output

Added

Mar 2026

chat

Capabilities 6/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

Provider rates

What openai-responses/gpt-5.4-pro costs

Provider prices per 1M tokens, updated September 5, 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

$30.00

Output /1M

$180.00

Cache write /1M

-

Cache read /1M

$30.00

What a workload costs

100K input + 10K output
$4.80
1M input + 100K output
$48.00
10M input + 1M output
$480.00

At the rates above, before caching. A cache read costs $30.00 per 1M, so repeated context lands under these figures.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

azure/openai-responses/gpt-5.4-pro@eastus2

This exact deployment on Microsoft Azure AI in eastus2, with no routing and no failover. Send it as the model field.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. 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="azure/openai-responses/gpt-5.4-pro@eastus2", 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 window1.1M tokens
Max output128K tokens
API typechat
AddedMar 2026
Model id
Data retentionNone
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 Microsoft Azure AI models overview.

Same provider

More from Microsoft Azure AI

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

Reference

openai-responses/gpt-5.4-pro questions

How much does openai-responses/gpt-5.4-pro cost?

openai-responses/gpt-5.4-pro is priced at $30.00 per million input tokens and $180.00 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. 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 openai-responses/gpt-5.4-pro?

openai-responses/gpt-5.4-pro has a context window of 1.1M tokens, with a maximum output of 128K tokens per response. That's roughly 1,400 words of input you can fit in a single prompt.

What can openai-responses/gpt-5.4-pro do?

openai-responses/gpt-5.4-pro supports vision input, tool calling, extended reasoning, prompt caching, 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 openai-responses/gpt-5.4-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 "azure/openai-responses/gpt-5.4-pro@eastus2". The Quickstart above shows Python, JavaScript and cURL snippets.

Can I run openai-responses/gpt-5.4-pro through Requesty?

Yes. openai-responses/gpt-5.4-pro runs through Requesty's OpenAI-compatible API, served from Microsoft Azure AI in eastus2. You do not host the model yourself: point base_url at Requesty, set the model to "azure/openai-responses/gpt-5.4-pro@eastus2", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

What region is this deployment?

This variant of openai-responses/gpt-5.4-pro is deployed in eastus2. Region-specific endpoints matter for data residency, latency to your users, and compliance requirements (GDPR, HIPAA). Other regions for the same model may be listed on the Microsoft Azure AI provider page.

Call openai-responses/gpt-5.4-pro through one endpoint

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