GPT-4.1 Nano

OpenAIopenai/gpt-4.1-nanoProviders: 3
Inputi$0.10per 1M tokens
Outputi$0.40per 1M tokens
Contexti1M1,047,576 tokens
ReleasedApr 14, 2025Max output: 32K

Where it stands

Quality in independent tests against price, next to 135 other models. Up means more capable, left means cheaper.

100110120130140150160170$0.01$0.03$0.1$0.3$1$3$10$30$100Overall indexPrice per million tokens, log scale (3 parts input to 1 part output)↖ Cheaper and smarterGPT-4.1 Nano
Scores: Epoch AI (CC BY 4.0). Prices: OpenRouter. View as a table

About this model

GPT-4.1 Nano is an AI model from OpenAI, made available through the API on April 14, 2025. It can read up to 1,047,576 tokens in one request, roughly 1,964 pages of text, and write up to 32,768 tokens in a single answer. Besides text, it accepts images and files such as PDFs as input.

Through the API it costs $0.10 per million input tokens and $0.40 per million output tokens. Its pricing puts it among the more affordable models we track, which makes it a good fit for high-volume tasks.

It can call tools and functions, so developers can connect it to search, databases or other software.

Quality scores

Rankings →
129.6Overall index · #114 of 136
  • GPQA DiamondVery hard multiple-choice questions in biology, physics and chemistry, written by PhD experts. Random guessing scores 25%.48.9%#96 of 116
  • AIME mathCompetition-level math problems in the style of the American Invitational Mathematics Examination. Share solved.28.9%#91 of 112
  • SimpleQA VerifiedShort factual questions. Measures how often the model gets facts right instead of making something up.6.0%#69 of 69

Benchmark data: Epoch AI, licensed CC BY 4.0

Where to use it

Companies that serve this model through an API: 3. Prices per million tokens, cheapest first.

ProviderInputiOutputiContextiUptime (24 h)i
AzureCheapest
$0.10$0.401M99.8%
OpenAIOfficialCheapest
$0.10$0.401M99.9%
Azure
$0.11$0.441M100.0%

Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.

Use it in your code

Call GPT-4.1 Nano through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "openai/gpt-4.1-nano", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'

The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.

What it costs in practice

  • 1,000 chat replies
    ≈ 500 tokens in, 300 out each
    $0.17
  • Summarise a 100-page document
    ≈ 50,000 tokens in, 1,000 out
    $0.0054
  • An app with 10,000 requests a day for a month
    ≈ 1,000 tokens in, 400 out each
    $78.00

Cost calculator →

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Frequently asked questions

How much does GPT-4.1 Nano cost?
GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.17.
What is the context window of GPT-4.1 Nano?
GPT-4.1 Nano can read up to 1,047,576 tokens in one request, about 1,964 pages of text. It can write up to 32,768 tokens in a single answer.
Is GPT-4.1 Nano open source?
No. GPT-4.1 Nano is a closed model: its weights are not published, so you use it through OpenAI’s own apps and API, or through cloud providers.
Who makes GPT-4.1 Nano?
GPT-4.1 Nano is made by OpenAI. It became available through the API on April 14, 2025.
How good is GPT-4.1 Nano?
GPT-4.1 Nano has an overall index of 129.6 in Epoch AI’s independent tests, ranking #114 of 136 models we track.
Can GPT-4.1 Nano read images?
Yes. Besides text, it accepts images and files such as PDFs as input.
What are the alternatives to GPT-4.1 Nano?
Models with a similar price from other companies include Muse Spark 1.3 Contributor, Reka Edge and Qwen3.5-9B. You can compare them side by side on this page.