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  1. Home
  2. /Model
  3. /OpenAI
  4. /gpt-4o / file-analysis
OpenAI
gpt-4o / file-analysis
ChatDocumentation
Document attachment
OpenAI GPT 4o is a flagship multimodal model offering native reasoning across text, audio, and vision. With 2x the speed of GPT-4 Turbo and 128k context, it is the premier choice for low-latency, agentic applications and structured data.

$ 1.75
$ 2.5

$ 7
$ 10

file

text

$ 1.75
$ 2.5

file

$ 7
$ 10

text

API

File Analysis

curl --request POST "https://gptproto.com/v1/responses" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "gpt-4o",
    "input": [
      {
        "role": "user",
        "content": [
          {
            "type": "input_text",
            "text": "what is in this file?"
          },
          {
            "type": "input_file",
            "file_url": "https://tos.gptproto.com/resource/gptproto.pdf"
          }
        ]
      }
    ]
  }'
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Key OpenAI GPT 4o Performance Features

Leverage the unique strengths of the GPT 4o model for multimodal reasoning and structured data.

100% Structured Output

The json_schema mode guarantees strict adherence to your data structures, perfect for reliable automated workflows and API integration.

GPT 4o JSON output

Ultra-Low Latency

Experience speeds 2x faster than GPT-4 Turbo, ideal for conversational AI, real-time chat, and rapid agentic planning loops.

GPT 4o speed

Global Cost Efficiency

New tokenization reduces the token count for Asian and Arabic scripts by up to 4.4x, lowering international operational costs.

GPT 4o efficiency

Native Multimodality

GPT 4o is trained end-to-end for text, vision, and audio, enabling unified reasoning across all inputs without separate encoders.

GPT 4o multimodal

How to Get a gpt-4o API Key

Getting a gpt-4o API key takes four steps and a few minutes. Create a free GPTProto account, add credits, generate your key, and make your first call — at $1.75 / $7 it's a cheaper gpt-4o API key than going direct, and one key works across every model on the platform. Full gpt-4o Documentation is in the docs.

Sign up

Sign up

Create your free GPT Proto account to begin. You can set up an organization for your team at any time.

Top up

Top up

Your balance can be used across all models on the platform, including gpt-4o, giving you the flexibility to experiment and scale as needed.

Generate your API key

Generate your API key

In your dashboard, create an API key — you'll need it to authenticate when making requests to gpt-4o.

Make your first API call

Make your first API call

Use your API key with our sample code to send a request to gpt-4o via GPT Proto and see instant AI-powered results.

Get API Key

OpenAI GPT 4o FAQ: Key Features and Access

Find answers about OpenAI GPT 4o performance, pricing, and multimodal capabilities for your next AI project.

What makes OpenAI GPT 4o different from GPT-4 Turbo?

GPT 4o is twice as fast as GPT-4 Turbo and handles text, vision, and audio natively. This unified neural network approach results in better cross-modal reasoning and significantly lower latency for real-time applications. It also features an improved tokenizer that reduces costs for non-English languages and offers 100% reliability for structured JSON outputs, making it more efficient for developers using the OpenAI GPT 4o API.

How does GPT 4o handle multimodal inputs like vision?

OpenAI GPT 4o processes images and video frames with high spatial precision. It outperforms previous models on benchmarks like MMMU and MathVista, making it ideal for interpreting technical diagrams, handwriting, and complex UI mockups. Because the GPT 4o model is natively multimodal, it understands the relationship between different types of data more intuitively than systems that use separate encoders for vision and text.

Is data sent to the GPT 4o API used for training?

No. When you access OpenAI GPT 4o through GPTProto.com, your data is protected. We ensure that data sent for processing is never used by us or OpenAI to train foundation models. Our platform provides the security and compliance necessary for enterprise-grade applications, allowing you to deploy GPT 4o with confidence regarding data privacy and residency requirements.

What is the context window for OpenAI GPT 4o?

OpenAI GPT 4o features a 128,000 token context window, which is sufficient for processing entire documents or long conversation histories. It can generate up to 16,384 tokens in a single output (version 2024-08-06). For tasks requiring even larger context retrieval beyond 1 million tokens, we recommend comparing it with Gemini 1.5 Pro, though GPT 4o remains the leader for low-latency reasoning and speed.

Can I get discounts on OpenAI GPT 4o tokens?

Yes, OpenAI GPT 4o pricing includes a 50% discount on input tokens that hit the context cache (automatic for messages over 1,024 tokens). Additionally, non-real-time requests processed via the Batch API within 24 hours receive a 50% discount. GPTProto.com further provides consolidated billing and tiered volume discounts for enterprise users who need to scale their GPT 4o usage beyond standard vendor rate limits.

How do I migrate my app to use GPT 4o?

Migrating is straightforward. Since the OpenAI GPT 4o API is backward compatible with the GPT-4 Turbo schema, you simply need to update your model string to 'gpt-4o' in your API calls. All existing parameters like temperature, top_p, and function calling work seamlessly. We recommend testing the structured output mode to take full advantage of the model's 100% reliability for JSON schemas.

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With our flagship product GPT Proto, we offer a unified interface to access and combine APIs from the world's leading AI providers—spanning text, vision, speech, and beyond. We empower developers and enterprises to simplify integration and accelerate innovation without limits.

Global Infrastructure, Local Compliance:

To ensure enterprise-grade reliability and compliance, Talent Tech Global Limited operates specifically as our global Billing and Contracting Entity. Meanwhile, our core technical infrastructure and R&D teams are strategically distributed across global innovation hubs, including Silicon Valley, Singapore, and Hong Kong.

Built to Scale:

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