openai-responses/gpt-4.1-nano
Microsoft Azure AI/@swedencentral/chat
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million token context window, and scores 80.1% on MMLU, 50.3% on GPQA, and 9.8% on Aider polyglot coding: even higher than GPT‑4o mini. It’s ideal for tasks like classification or autocompletion.MoreLess
Which id to call
azure/openai-responses/gpt-4.1-nano@swedencentralThis exact deployment on Microsoft Azure AI in swedencentral, with no routing and no failover. Send it as the model field.
Input /1M
$0.11
$0.03 cached
Output /1M
$0.44
4.0x input
Context
1.0M
33K output
Added
Apr 2025
chat
Capabilities 5/8
Provider rates
What openai-responses/gpt-4.1-nano costs
Provider prices per 1M tokens, updated September 5, 2026.moreless
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
$0.11
Output /1M
$0.44
Cache write /1M
-
Cache read /1M
$0.03
What a workload costs
- 100K input + 10K output
- $0.0154
- 1M input + 100K output
- $0.15
- 10M input + 1M output
- $1.54
At the rates above, before caching. A cache read costs $0.03 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-4.1-nano@swedencentralThis exact deployment on Microsoft Azure AI in swedencentral, 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.
123456789101112131415from 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-4.1-nano@swedencentral", 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.
Released 2025-04-14
Benchmark scores
Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.
Artificial Analysis Coding Index: a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.
Graduate-level physics, chemistry & biology questions designed to resist Googling.
Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.
Scores from official model cards, Artificial Analysis and public leaderboards. They measure specific skills and do not capture every aspect of model quality, so test on your own workload.
Same provider
More from Microsoft Azure AI
Newest first, on the same provider and the same key.
Reference
openai-responses/gpt-4.1-nano questions
How much does openai-responses/gpt-4.1-nano cost?
openai-responses/gpt-4.1-nano is priced at $0.11 per million input tokens and $0.44 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-4.1-nano?
openai-responses/gpt-4.1-nano has a context window of 1.0M tokens, with a maximum output of 33K tokens per response. That's roughly 1,397 words of input you can fit in a single prompt.
How does openai-responses/gpt-4.1-nano perform on benchmarks?
openai-responses/gpt-4.1-nano scores 65.7% on MMLU Pro, 51.2% on GPQA Diamond, 32.6% 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 openai-responses/gpt-4.1-nano do?
openai-responses/gpt-4.1-nano supports vision input, tool calling, 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-4.1-nano 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-4.1-nano@swedencentral". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run openai-responses/gpt-4.1-nano through Requesty?
Yes. openai-responses/gpt-4.1-nano runs through Requesty's OpenAI-compatible API, served from Microsoft Azure AI in swedencentral. You do not host the model yourself: point base_url at Requesty, set the model to "azure/openai-responses/gpt-4.1-nano@swedencentral", 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-4.1-nano is deployed in swedencentral. 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-4.1-nano through one endpoint
One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.