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openai-responses/gpt-4.1-nano

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.

VisionTool callingCachingWeb searchJSON schema
CompareDocs

Specifications

Context window1.0M tokens
Max output33K tokens
API typechat
AddedApr 14, 2025
Model IDazure/openai-responses/gpt-4.1-nano@swedencentral
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US / 🇪🇺 EU

Benchmarks

Released 2025-04-14
Coding Indexcoding
11.1%

Artificial Analysis Coding Index — a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
51.2%

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

Intelligence Indexreasoning
9.6%

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
$0.10
Output / 1M
$0.40
Cache write
N/A
Cache read / 1M
$0.02
Estimated cost
100K input + 10K output$0.0140
1M input + 100K output$0.14
10M input + 1M output$1.40

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/openai-responses/gpt-4.1-nano@swedencentral.

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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-4.1-nano@swedencentral", 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-4.1-nano cost?
openai-responses/gpt-4.1-nano is priced at $0.10 per million input tokens and $0.40 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 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.

Access openai-responses/gpt-4.1-nano through Requesty

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