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Microsoft Azure AI@eastus2

o4-mini

o3-mini is OpenAI's most recent small reasoning model, providing high intelligence at the same cost and latency targets of o1-mini. o3-mini also supports key developer features, like Structured Outputs, function calling, Batch API, and more. Like other models in the o-series, it is designed to excel at science, math, and coding tasks.

ReasoningTool callingCachingJSON schema
CompareDocs

Specifications

Context window200K tokens
Max output100K tokens
API typechat
AddedApr 24, 2025
Model IDazure/o4-mini@eastus2
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US / 🇪🇺 EU
Privacy policyMicrosoft Privacy Statement→

Benchmarks

Released 2025-04-16
GPQA Diamondreasoning
78.4%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
25.6%

Artificial Analysis Intelligence Index — a composite of multiple evaluations measuring overall model capability.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality. Always test on your own workload.

Pricing

Prices updated July 22, 2026
Input / 1M
$1.10
Output / 1M
$4.40
Cache write
N/A
Cache read / 1M
$0.28
Estimated cost
100K input + 10K output$0.15
1M input + 100K output$1.54
10M input + 1M output$15.40

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/o4-mini@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/o4-mini@eastus2",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

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gpt-5.6-sol
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gpt-5.6-sol
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gpt-5.6-luna
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gpt-5.6-terra
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Frequently asked questions

How much does o4-mini cost?
o4-mini is priced at $1.10 per million input tokens and $4.40 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 o4-mini?
o4-mini has a context window of 200K tokens, with a maximum output of 100K tokens per response. That's roughly 267 words of input you can fit in a single prompt.
How does o4-mini perform on benchmarks?
o4-mini scores 90.7% on Math Index, 90.7% on AIME 2025, 85.9% on LiveCodeBench. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can o4-mini do?
o4-mini supports tool calling, extended reasoning, prompt caching, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use o4-mini 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/o4-mini@eastus2". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run o4-mini through Requesty?
Yes. o4-mini 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/o4-mini@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 o4-mini 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 o4-mini 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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