GPT 4.1 Nano
GPT 4.1 Nano is OpenAI's fast, low-cost model for high-volume work. It reads images. It takes up to 1.05M tokens of context.
Output price
$0.292
USD / 1M tokens
27% below list price
Add $5, get $5 more on your first top-up.
Same GPT 4.1 Nano. 27% less.
Specs.
- Model ID
- gpt-4.1-nano
- Made by
- OpenAI
- Context window
- 1.05M tokens
- Max output
- Varies
- Endpoint
- /v1/chat/completions
- Billing
- Per token, from one balance
Edge gateways
Requests enter at the gateway nearest your app and go straight to the model, so routing adds very little to each call.
One key, every model
Switch models by changing a string. One prepaid balance covers all of them, billed per token.
Nothing stored
We keep token counts for billing, never your prompts or responses.
Call GPT 4.1 Nano in a minute.
Point any OpenAI-compatible client at our base URL, keep your key in an environment variable, and use the model ID gpt-4.1-nano.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.promptsforless.com/v1",
api_key=os.environ["PFL_API_KEY"],
)
response = client.chat.completions.create(
model="gpt-4.1-nano",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
Cursor guide
OpenCode guideMore from OpenAI.
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Z.aiQuestions.
How much does GPT 4.1 Nano cost?
$0.292 / 1M tokens output and $0.073 / 1M tokens input, 27% below OpenAI's list price. You pay per token from a prepaid balance, with no subscription or minimum. We match your first $5 top-up, so you start with $10 of credit.
Is it the real GPT 4.1 Nano?
Yes. Your requests run on OpenAI's GPT 4.1 Nano, not a distilled copy or a substitute. The discount comes from how we buy capacity, not from changing the model.
Which tools can use GPT 4.1 Nano?
Anything that speaks the OpenAI API: set the base URL to our endpoint and use the model ID gpt-4.1-nano. We have setup guides for Cursor, Codex, OpenCode, the OpenAI and Vercel AI SDKs, LangChain and more.
How fast is it?
Requests go through our edge gateways, so the network hop adds very little on top of GPT 4.1 Nano's own generation time. Responses stream back token by token.