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OpenAI: GPT-4o (2024-11-20)

openai/gpt-4o-2024-11-20

Created Nov 20, 2024128,000 context
Starting at $2.50/M input tokensStarting at $10/M output tokens

The 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored writing to improve relevance & readability. It’s also better at working with uploaded files, providing deeper insights & more thorough responses.

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of GPT-4 Turbo while being twice as fast and 50% more cost-effective. GPT-4o also offers improved performance in processing non-English languages and enhanced visual capabilities.

Providers for GPT-4o (2024-11-20)

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for GPT-4o (2024-11-20)

Compare different providers across OpenRouter

Apps using GPT-4o (2024-11-20)

Top public apps this month

Recent activity on GPT-4o (2024-11-20)

Total usage per day on OpenRouter

Prompt
76M
Completion
8.3M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for GPT-4o (2024-11-20)

Uptime stats for GPT-4o (2024-11-20) across all providers

Sample code and API for GPT-4o (2024-11-20)

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.