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Microsoft Azure AI@eastus2

gpt-5.3-codex

GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2.

👁Vision🧠Reasoning🔧Tool calling⚡Caching
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Specifications

Context window400K tokens
Max output128K tokens
API typechat
AddedFeb 25, 2026
Model IDazure/gpt-5.3-codex@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

Input / 1M
$1.75
Output / 1M
$14.00
Cache write / 1M
$14.00
Cache read / 1M
$0.17
Estimated cost
100K input + 10K output$0.31
1M input + 100K output$3.15
10M input + 1M output$31.50

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/gpt-5.3-codex@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/gpt-5.3-codex@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 gpt-5.3-codex cost?
gpt-5.3-codex is priced at $1.75 per million input tokens and $14.00 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 gpt-5.3-codex?
gpt-5.3-codex has a context window of 400K tokens, with a maximum output of 128K tokens per response. That's roughly 533 words of input you can fit in a single prompt.
What can gpt-5.3-codex do?
gpt-5.3-codex 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 gpt-5.3-codex 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/gpt-5.3-codex@eastus2". The Quickstart above shows Python, JavaScript and cURL snippets.
What region is this deployment?
This variant of gpt-5.3-codex 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 gpt-5.3-codex through Requesty

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

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