GPT-4o is OpenAI's flagship multimodal model, capable of processing text, image, and audio inputs. It excels in general reasoning tasks across these modalities and is designed for high-context, long-output applications.

What is GPT-4o's context window?

GPT-4o has a context window of 128K ctx.

How much does GPT-4o cost?

GPT-4o is priced at $2.50 per 1M input tokens and $10 per 1M output tokens.

GPT-4o by OpenAI: Context, Price & License

GPT-4o is OpenAI’s most capable multimodal model, designed to handle text, image, and audio inputs simultaneously. With its 128k token context window and 16k token output limit, it stands out for processing large volumes of diverse data while maintaining coherent outputs. The model’s architecture makes it particularly strong at cross-modal reasoning tasks where inputs combine different data types.

Compared to text-only models, GPT-4o offers expanded capabilities for applications requiring visual or auditory understanding, but comes with higher computational costs. Its proprietary nature means users cannot modify or inspect the underlying weights, unlike open-weight alternatives. The pricing structure makes it more economical for input-heavy than output-heavy use cases.

Developers building applications that require interpreting or generating content across multiple modalities should consider GPT-4o. Organizations needing long-context processing with reasonable output limits may find it particularly useful. Enterprises comfortable with proprietary solutions and willing to pay for multimodal capabilities will find this model appropriate, while those needing transparency or customization might explore alternatives.

Use cases

Multimodal content generation (e.g., generating text descriptions from images or audio)Long-context document analysis (e.g., summarizing or extracting insights from large documents)Interactive applications requiring audio or visual input (e.g., voice assistants with image recognition)Complex reasoning tasks combining multiple data types (e.g., answering questions about diagrams or charts)High-throughput text generation (e.g., drafting long-form content or code)

Pros & cons

Pros

Large context window (128k tokens) enables processing of extensive inputs
Multimodal capabilities (text, vision, audio) support diverse applications
High max output length (16k tokens) suitable for detailed responses

Cons

Proprietary license restricts customization and deployment options
Higher output pricing compared to input (10.0 vs 2.5 per unit)
Not open-weights, limiting transparency and community modifications

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GPT-4o

Modality