Model Cost Profile

OpenAI: GPT-4o Search Preview

Developer: openai

Pricing updated Mar 11, 2026

Input rank: #297Output rank: #288

Live Pricing

Input: $2.50

Output: $10.00

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

OpenAI's GPT-4o Search Preview model offers an extensive context window of 128,000 tokens, making it ideal for applications requiring deep contextual understanding, such as legal document analysis or extensive research tasks. With an input price of $2.50 per 1 million tokens and an output price of $10.00 per 1 million tokens, teams must consider their usage patterns to optimize costs effectively while leveraging its capabilities for complex query handling and data synthesis. This model is particularly suited for enterprises needing to process large volumes of text or generate detailed reports, enhancing productivity and decision-making processes.

๐Ÿ“‹ 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 Search Preview 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 Search Preview.

How much does OpenAI: GPT-4o Search Preview cost per 1M input tokens?

OpenAI: GPT-4o Search Preview input pricing is $2.50 per 1M tokens based on the latest synced provider data.

How much does OpenAI: GPT-4o Search Preview cost per 1M output tokens?

OpenAI: GPT-4o Search Preview output pricing is $10.00 per 1M tokens based on the latest synced provider data.

What context window does OpenAI: GPT-4o Search Preview support?

OpenAI: GPT-4o Search Preview supports a context window of 128,000 tokens.

How can I compare OpenAI: GPT-4o Search Preview 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.