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OpenAI
openai/gpt-4.1-nanoCatalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
OpenAI openai/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...
GPT-4.1 Nano earns a request when it needs tool calls, very long inputs, image and file input; a short, general request would go to Nemotron 3.5 Super VL (free) instead - free per million input tokens against $0.10 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points.
1 target runs this model; traffic is measured over the last 30 days.
Photo: RDNE Stock project
Cached input reads $0.03 per 1M
A higher intelligence index, best first, with the price it comes at.
from openai import OpenAI
client = OpenAI(base_url="https://osr-api.kindrock-caaab1a2.centralindia.azurecontainerapps.io/v1", api_key="osr_live_...")
resp = client.chat.completions.create(
model="llm-small", # the target on this deployment that runs GPT-4.1 Nano
messages=[{"role": "user", "content": "Summarise this in one sentence."}],
)
print(resp.model, resp.choices[0].message.content)Input list price per million tokens; GPT-4.1 Nano is the 3rd cheapest of 13 listed.
Other models by the same vendor in the catalogue.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.