Model Cost Profile

OpenAI: GPT-4o (2024-08-06)

Developer: openai

Pricing updated Mar 11, 2026

Input rank: #294Output rank: #285

Live Pricing

Input: $2.50

Output: $10.00

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

OpenAI's GPT-4o, released on August 6, 2024, offers a substantial context window of 128,000 tokens, making it ideal for complex applications such as long-form content generation, legal document analysis, and extensive data summarization. With an input price of $2.50 per million tokens and an output price of $10.00 per million tokens, teams can effectively manage costs based on their specific usage patterns and project requirements. This model's extensive context capability enables businesses to tackle intricate tasks that require maintaining coherence over large datasets or lengthy dialogues.

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

Context Window

128,000

Tokens

Input Price / 1M

$2.50

Prompt tokens

Output Price / 1M

$10.00

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

OpenAI: GPT-4o (2024-08-06) Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$2.50$6.25$10.00Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$2.50

Current Output / 1M

$10.00

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FAQ

Common pricing and benchmark questions for OpenAI: GPT-4o (2024-08-06).

How much does OpenAI: GPT-4o (2024-08-06) cost per 1M input tokens?

OpenAI: GPT-4o (2024-08-06) input pricing is $2.50 per 1M tokens based on the latest synced provider data.

How much does OpenAI: GPT-4o (2024-08-06) cost per 1M output tokens?

OpenAI: GPT-4o (2024-08-06) output pricing is $10.00 per 1M tokens based on the latest synced provider data.

What context window does OpenAI: GPT-4o (2024-08-06) support?

OpenAI: GPT-4o (2024-08-06) supports a context window of 128,000 tokens.

How can I compare OpenAI: GPT-4o (2024-08-06) 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.