OpenAI: GPT-4.1 Nano

OpenAI: GPT-4.1 Nano is a large language model from OpenAI. It costs $0.100 per million input tokens and $0.400 per million output tokens. Its context window is 1.0M tokens.

Tool callingStructured outputPrompt cachingBatch tierimage inputfile input

Input / 1M tokens: $0.100
Output / 1M tokens: $0.400
Cached input / 1M: $0.030
Context window: 1.0M

This model also charges $0.01 per search request

That is $10.00 per 1,000 requests, billed on top of the token prices above. On a typical 1,000-in / 500-out exchange the tokens cost $0.0003, so the search fee is 33× the token cost. Per-token rankings elsewhere ignore this entirely.

Who serves it cheapest

1 hosts serve GPT-4.1 Nano. Same weights, same API - the price difference is pure margin and routing.

Providers serving OpenAI: GPT-4.1 Nano, cheapest first
Provider	Input / 1M	Output / 1M	Context	Throughput	Uptime 24h
AzureCheapest	$0.100	$0.400	1.0M	-	99.9%

Benchmarks

Independent scores published alongside the catalogue.

Coding index: 11.1

About 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...

Specifications

OpenAI: GPT-4.1 Nano specifications
Model ID	`openai/gpt-4.1-nano`
Provider	OpenAI
Context window	1.0M tokens
Max output	943K tokens
Input modalities	image, text, file
Output modalities	text
Knowledge cutoff	2024-06-30
Open weights	No
Released	April 14, 2025

Cheaper alternatives

Models that cost less than GPT-4.1 Nano while keeping at least half its context window and every input modality it supports.

Muse Spark 1.3 Contributor

$0.100 in · $0.200 out

1.4× cheaper

Muse Spark 1.2 Contributor

$0.100 in · $0.200 out

1.4× cheaper

Summarize

$0.040 in · Free out

5.8× cheaper

Extract

$0.040 in · Free out

5.8× cheaper

Jev Router

$-1000000.0000 in · $-1000000.0000 out

about the same cheaper

Frequently asked

How much does OpenAI: GPT-4.1 Nano cost?

$0.100 per million input tokens and $0.400 per million output tokens. Cached input reads cost $0.030 per million tokens.

What is the context window of OpenAI: GPT-4.1 Nano?

1.0M tokens, with up to 943K tokens of output per request.

Does OpenAI: GPT-4.1 Nano have extra fees beyond per-token pricing?

Yes. OpenAI: GPT-4.1 Nano charges $0.01 per search request - $10.00 per 1,000 requests - on top of $0.100 per million input tokens and $0.400 per million output tokens. On a typical 1,000-input / 500-output exchange the search fee alone is 33× the token cost.

Confirm against the source: OpenAI official pricing.