Is Gpt 5 4 Nano 2026 03 17 available on other providers?

Yes. Gpt 5 4 Nano 2026 03 17 is available on Azure.

OpenAIVisionTool use

Gpt 5 4 Nano 2026 03 17 pricing

Name: Gpt 5 4 Nano 2026 03 17
Price: 0.2000 USD
Author: OpenAI

If you are budgeting for Gpt 5 4 Nano 2026 03 17, start with the numbers below. We index 2 provider prices. Cheapest input is $0.200 per million tokens. Cheapest output is $1.25 per million tokens. The model lists a 1.1M context window in our data.

1.1M context·2 providers·verified Apr 26, 2026

Estimate cost Compare with GPT-4o Pick any other model

Best input$0.200per 1M tokens · OpenAI

Best output$1.25per 1M tokens · OpenAI

Pricing across providers

Use this table to read Gpt 5 4 Nano 2026 03 17 list prices. We show 2 sources right now. Lowest input in the grid: OpenAI. The chart below the table helps when output prices are much higher than input prices.

OpenAInative

Input / 1M

$0.200

Output / 1M

$1.25

Cached in: $0.020

Azure

Input / 1M

$0.200

Output / 1M

$1.25

Cached in: $0.020

Provider	Input / 1M	Output / 1M	Cached input	Batch
O OpenAInative	$0.200	$1.25	$0.020	—
A Azure	$0.200	$1.25	$0.020	—

Input vs output · per provider

Cost calculator

Use this block to stress test Gpt 5 4 Nano 2026 03 17 cost without a spreadsheet. All estimates come from public list rates in this page.

Provider

In: $0.200/M·Out: $1.25/M·Cache: $0.020/M

Requests / day

Avg input tokens

0.020000¢ / req

Avg output tokens

0.062500¢ / req

Daily

$8.25

Monthly

$248

Annual

$3.0K

Model specifications

Context length, caps, and capability flags for Gpt 5 4 Nano 2026 03 17. Values follow the main provider (OpenAI) record in our index.

Context window: 1,050,000 tokens
Max output: 128,000 tokens
Vision (images): Yes
Tool / function calling: Yes
Streaming: No
Released: N/A
Primary provider: OpenAI
Model family: N/A

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Frequently asked questions

Answers pull from the same numbers you see on this page.

Gpt 5 4 Nano 2026 03 17 costs $0.20 per million input tokens and $1.25 per million output tokens via the native API. Prompt caching reduces input costs to $0.02/M tokens.

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