Model Cost Profile

OpenAI: GPT-4 Turbo (older v1106)

Developer: openai

Pricing updated Mar 11, 2026

Input rank: #323Output rank: #324

Live Pricing

Input: $10.00

Output: $30.00

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

OpenAI's GPT-4 Turbo (older v1106) offers a substantial context window of 128,000 tokens, making it suitable for applications requiring extensive text analysis or generation, such as long-form content creation and complex conversational agents. With an input price of $10.00 and an output price of $30.00 per 1 million tokens, teams can effectively budget their usage based on the scale of their projects, allowing for flexibility in cost management. This model is ideal for enterprises that need to process large datasets or maintain context over lengthy interactions, ensuring high-quality outputs while managing expenses.

๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output

Context Window

128,000

Tokens

Input Price / 1M

$10.00

Prompt tokens

Output Price / 1M

$30.00

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

OpenAI: GPT-4 Turbo (older v1106) Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$10.00$20.00$30.00Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$10.00

Current Output / 1M

$30.00

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FAQ

Common pricing and benchmark questions for OpenAI: GPT-4 Turbo (older v1106).

How much does OpenAI: GPT-4 Turbo (older v1106) cost per 1M input tokens?

OpenAI: GPT-4 Turbo (older v1106) input pricing is $10.00 per 1M tokens based on the latest synced provider data.

How much does OpenAI: GPT-4 Turbo (older v1106) cost per 1M output tokens?

OpenAI: GPT-4 Turbo (older v1106) output pricing is $30.00 per 1M tokens based on the latest synced provider data.

What context window does OpenAI: GPT-4 Turbo (older v1106) support?

OpenAI: GPT-4 Turbo (older v1106) supports a context window of 128,000 tokens.

How can I compare OpenAI: GPT-4 Turbo (older v1106) 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.