OpenAI: GPT-4.1 Nano

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 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.

by OpenAI

Input type Output type Publish time 2025-04-14

Recent activity on GPT-4.1 Nano

Tokens processed per day

Throughput

Providers Min (tokens/s) Max (tokens/s) Avg (tokens/s)
Azure 5.9 61.59 25.16
OpenAI 1.85 1.85 1.85

First Token Latency

(ms)

Providers Min (ms) Max (ms) Avg (ms)
Azure 643 1692 999.45
OpenAI 599 599 599.00

Uptime stats for GPT-4.1 Nano

Uptime stats for GPT-4.1 Nano across all providers

Uptime

Providers Uptime Recent uptime
Azure 100.00% Apr 30, 2026 6:00 PM
OpenAI 100.00% Apr 30, 2026 6:00 PM

Price

Input
$ 0.1/ M tokens
Output
$ 0.4/ M tokens
Cache read
$ 0.025/ M tokens

Model limitation
Context
1.05M
Max output
32.77K

Supported Parameters

  • max_completion_tokens
  • temperature
  • top_p
  • frequency_penalty
  • presence_penalty
  • seed
  • logit_bias
  • logprobs
  • top_logprobs
  • response_format
  • stop
  • tools
  • tool_choice
  • parallel_tool_calls

Sample code and API for GPT-4.1 Nano

ZenMux normalizes requests and responses across providers for you.

OpenAI: Python-SDK

from openai import OpenAI

client = OpenAI(
  base_url="https://zenmux.ai/api/v1",
  api_key="<ZENMUX_API_KEY>",
)

# Chat Completion
completion = client.chat.completions.create(
  model="openai/gpt-4.1-nano",
  messages=[\
    {\
      "role": "user",\
      "content": "What is the meaning of life?"\
    }\
  ]
)
print(completion.choices[0].message.content)