Model Cost Profile

OpenAI: GPT-4o (extended)

Developer: openai

Pricing updated Mar 11, 2026

Input rank: #321Output rank: #319

Live Pricing

Input: $6.00

Output: $18.00

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

OpenAI's GPT-4o (extended) model features an impressive context window of 128,000 tokens, making it ideal for applications requiring extensive text generation and analysis, such as legal document review and long-form content creation. Teams utilizing this API can expect an input cost of $6.00 per million tokens and an output cost of $18.00 per million tokens, which can significantly impact budget considerations for high-volume projects. This model's expansive context size allows for deeper understanding and continuity in conversations, enhancing user experience in customer support and interactive applications.

๐Ÿ‘ Vision๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output

Context Window

128,000

Tokens

Input Price / 1M

$6.00

Prompt tokens

Output Price / 1M

$18.00

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

OpenAI: GPT-4o (extended) Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$6.00$12.00$18.00Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$6.00

Current Output / 1M

$18.00

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FAQ

Common pricing and benchmark questions for OpenAI: GPT-4o (extended).

How much does OpenAI: GPT-4o (extended) cost per 1M input tokens?

OpenAI: GPT-4o (extended) input pricing is $6.00 per 1M tokens based on the latest synced provider data.

How much does OpenAI: GPT-4o (extended) cost per 1M output tokens?

OpenAI: GPT-4o (extended) output pricing is $18.00 per 1M tokens based on the latest synced provider data.

What context window does OpenAI: GPT-4o (extended) support?

OpenAI: GPT-4o (extended) supports a context window of 128,000 tokens.

How can I compare OpenAI: GPT-4o (extended) with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.