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
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.
API Usage Examples
curl --request POST "https://gptproto.com/v1/chat/completions" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "gpt-4o",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'GPT 4o pricing
Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 30% below official rates.
| Scenario | OpenAI list | OpenRouter | GPTProto | You save / mo |
|---|---|---|---|---|
| Personal10M tokens / mo (4.8M cached) | $34.00 | $35.87 | $23.80 | −$10.20≈ $122.40 / yr |
| Team100M tokens / mo (48M cached) | $340.00 | $358.70 | $238.00 | −$102.00≈ $1224.00 / yr |
| Business500M tokens / mo (240M cached) | $1700.00 | $1793.50 | $1190.00 | −$510.00≈ $6120.00 / yr |
Save $0.00 / month
Annual savings ≈ $0.00 · pay as you go
Related Models
All Models
GPT 4oCurrent
OpenAI · 128K context · $1.75/M input · $7/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Model
Price: GPTProto
vs Official
vs OpenRouter
Context
Stability
GPT 4oCurrent
OpenAI
$1.75 / $7.00per 1M tokens
-30%
-34%
128K
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.
Ultra-Low Latency
Experience speeds 2x faster than GPT-4 Turbo, ideal for conversational AI, real-time chat, and rapid agentic planning loops.
Global Cost Efficiency
New tokenization reduces the token count for Asian and Arabic scripts by up to 4.4x, lowering international operational costs.
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.
Related Articles
Guides, comparisons, and updates related to this model.
All Articles
OpenAI GPT-5.3-Codex vs Claude Opus 4.6: The New Era of AI Agents and Coding Powerhouses
Discover how OpenAI and Anthropic are revolutionizing productivity with GPT-5.3-Codex and Claude Opus 4.6. Explore new benchmarks, AI agent capabilities, and cost-effective API solutions via GPTProto for your tech business. Learn why the shift to autonomous agents matters for every industry today.
GPT-5.3-Codex: Redefining Software Engineering AI
Explore the massive leap in AI coding with OpenAI's GPT-5.3-Codex. Learn how this recursive model dominates Terminal-Bench and SWE-Bench Pro, its visual OSWorld capabilities, and how tools like GPTProto help developers integrate these powerful APIs at lower costs for maximum efficiency.
GPT-5.3-Codex vs Claude 4.6: The Agentic AI Era
Explore the massive updates from OpenAI and Anthropic. Learn how GPT-5.3-Codex and Claude Opus 4.6 are redefining productivity through autonomous coding and agent teams. Discover how to manage these powerful models efficiently using unified API solutions for maximum cost savings.