Requesty

openai-responses/gpt-5.5

GPT-5.5 is OpenAI's frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reasoning, coding, and multimodal workflows within a single system.

πŸ‘Vision🧠ReasoningπŸ”§Tool calling⚑Caching

Specifications

Context window1.1M tokens
Max output128K tokens
API typechat
AddedApr 25, 2026
Model IDazure/openai-responses/gpt-5.5@eastus2
Data retentionNo
Used for trainingNo
Provider locationπŸ‡ΊπŸ‡Έ US / πŸ‡ͺπŸ‡Ί EU

Benchmarks

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

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

Pricing

Input / 1M
$5.00
Output / 1M
$30.00
Cache write
β€”
Cache read / 1M
$0.50
Estimated cost
100K input + 10K output$0.80
1M input + 100K output$8.00
10M input + 1M output$80.00

Requesty charges exactly what the upstream provider charges β€” 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-5.5@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-5.5@eastus2", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Other Microsoft Azure AI models

Frequently asked questions

How much does openai-responses/gpt-5.5 cost?
openai-responses/gpt-5.5 is priced at $5.00 per million input tokens and $30.00 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 β€” we don't add markup.
What is the context window of openai-responses/gpt-5.5?
openai-responses/gpt-5.5 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-5.5 do?
openai-responses/gpt-5.5 supports vision input, tool calling, extended reasoning, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use openai-responses/gpt-5.5 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-5.5@eastus2". The Quickstart above shows Python, JavaScript and cURL snippets.
What region is this deployment?
This variant of openai-responses/gpt-5.5 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-5.5 through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.