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openai-responses/gpt-5.4-pro

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.

VisionReasoningTool callingCachingWeb searchJSON schema
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Specifications

Context window1.1M tokens
Max output128K tokens
API typechat
AddedDec 11, 2025
Model IDazure/openai-responses/gpt-5.4-pro@eastus2
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US / 🇪🇺 EU
Privacy policyMicrosoft Privacy Statement→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model. Check the base model page or the Microsoft Azure AI models overview.

Pricing

Prices updated July 22, 2026
Input / 1M
$30.00
Output / 1M
$180.00
Cache write
N/A
Cache read / 1M
$30.00
Estimated cost
100K input + 10K output$4.80
1M input + 100K output$48.00
10M input + 1M output$480.00

Requesty charges exactly what the upstream provider charges, no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to azure/openai-responses/gpt-5.4-pro@eastus2.

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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)

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Frequently asked 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. Requesty charges exactly what the upstream provider charges, we don't add markup.
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.

Access openai-responses/gpt-5.4-pro through Requesty

One API key, 600+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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