OpenAI's omni-model handling text, image, audio and video natively — the only OpenAI API model with full vision and multimodal support as of 2026.
GPT-4o API Docs ↗GPT-4o
📋
February 2026 — Status Update
GPT-4o retired from ChatGPT consumer app — now API-only
OpenAI retired GPT-4o from the ChatGPT interface on February 13, 2026. ChatGPT now runs on the GPT-5 model family. GPT-4o remains fully available via the OpenAI API and is still the best option in OpenAI's portfolio for vision and multimodal tasks. GPT-4.1 is the newer API alternative — cheaper and better for coding, but without vision support.
💰 Pricing
API Pricing
Input: $2.50 / 1M tokens
Output: $10.00 / 1M tokens
Cached input: $1.25 / 1M tokens
Batch API: 50% discount
Context: 128K tokens
vs GPT-4.1
GPT-4.1 is cheaper ($2.00/$8.00 per 1M) with 1M context and better coding (+21%). GPT-4o is the pick only if you need vision / image inputs — GPT-4.1 has no vision support.
GPT-4.1 announcement →
Prabhu Kumar Dasari
Senior Unity XR Developer & Founder, AllInOneAICenter
GPT-4o was my daily coding AI for two years — fast, reliable for XR scripting, and the clearest advantage was true multimodal: being able to upload a screenshot of a Unity error, a photo of a hand-drawn UI wireframe, or an image of a project diagram and have it reason about those visually.
In early 2026, OpenAI retired GPT-4o from the ChatGPT consumer interface. For API work, it is still the right pick for any task involving image inputs — GPT-4.1 is cheaper and stronger on coding, but it has no vision support. My current workflow: GPT-4.1 for pure coding and long-document tasks via API, GPT-4o via API when the task involves images, diagrams, or screenshots. ChatGPT itself I now use on the GPT-5 tier which OpenAI has defaulted to across all consumer plans.
If you are building an API integration and do not need vision, GPT-4.1 is probably the better starting point in 2026. If vision is in your workflow — GPT-4o is still the only option in OpenAI's API lineup that covers it.
⚡ Key Features & Use Cases
✓ Pros
- + Only OpenAI API model with vision / image input support
- + Real-time voice mode (Advanced Voice)
- + True multimodal — text, image, audio in one call
- + 50% batch API discount available
- + Prompt caching at $1.25/M (50% off standard input)
✗ Cons / Watch Outs
- - Retired from ChatGPT consumer app Feb 2026 — API only
- - More expensive than GPT-4.1 ($2.50 vs $2.00 per 1M input)
- - Smaller context (128K) vs GPT-4.1 (1M tokens)
- - Weaker on coding than GPT-4.1 (21% gap on SWE-bench)
- - Can hallucinate on image details
🚀 Getting Started via API
- Get your OpenAI API key
Visit platform.openai.com and create an account. Generate an API key under Settings → API Keys. GPT-4o is available on any paid API plan. - Make your first vision call
GPT-4o's key advantage is vision. Usemodel: "gpt-4o"and pass an image URL or base64 image in the messages array withtype: "image_url"alongside your text prompt. - Enable prompt caching for repeated contexts
If you have a large system prompt you reuse across calls, prompt caching reduces your cost to $1.25/M tokens (50% off the $2.50 input rate). Structure your prompt so the static portion comes first. - Use the Batch API for bulk vision tasks
For high-volume workflows — product image alt text generation, document parsing, bulk analysis — the Batch API gives a 50% discount on all GPT-4o calls. Results are returned within 24 hours.
💡 Real-World Examples
Example 1
Scenario: A product manager takes a photo of a hand-drawn user flow sketch and wants it turned into a written specification.
Prompt / Action:
Upload the photo to ChatGPT GPT-4o and say: "This is a hand-drawn user flow. Describe each step as a written specification a developer could implement."Result: GPT-4o reads the sketch accurately, identifies every decision node, and outputs a numbered spec with edge cases noted — from whiteboard to Jira ticket in 2 minutes.
Example 2
Scenario: A restaurant owner takes a photo of a handwritten specials chalkboard and needs it turned into a formatted website menu update instantly.
Prompt / Action:
Upload the photo: "Read every dish and price on this chalkboard exactly as written, then format as clean HTML list items I can paste into my website."Result: GPT-4o transcribes all 9 specials with correct prices as ready-to-paste HTML — the menu update goes live in 3 minutes instead of a 20-minute manual re-type.
Example 3
Scenario: An e-commerce team generates accessibility-compliant alt text for 500 product images via the OpenAI API to improve SEO and meet compliance requirements.
Prompt / Action:
"Write descriptive alt text for this product image in under 125 characters. Be specific about colour, material, and style — no marketing language."Result: GPT-4o generates accurate alt text for all 500 images at ~$0.02 per image — a compliance gap fixed and image search traffic improved within 6 weeks.
Example 4
Scenario: A developer builds a document parsing pipeline where GPT-4o reads scanned PDF invoices and extracts structured data for accounting software.
Prompt / Action:
"Extract vendor name, invoice number, date, line items, subtotal, tax, and total. Return as JSON. Flag any unclear field with confidence: low."Result: GPT-4o processes 200 invoices per hour at 97% field accuracy — the accounting team eliminates manual data entry entirely.
❓ Frequently Asked Questions
Is GPT-4o still available in 2026?
GPT-4o was retired from the ChatGPT consumer app on February 13, 2026. It is no longer accessible through chat.openai.com. It remains fully available via the OpenAI API at $2.50/M input tokens and $10.00/M output tokens. ChatGPT now uses the GPT-5 model family across all tiers.
GPT-4o vs GPT-4.1 — which should I use?
GPT-4.1 is cheaper ($2.00/$8.00 per 1M tokens), has a 1M token context window (vs 128K), and outperforms GPT-4o on coding by 21% (SWE-bench Verified). GPT-4o is the only choice if your application involves image/vision inputs — GPT-4.1 does not support vision. For pure text or coding: GPT-4.1. For anything with images: GPT-4o.
What is GPT-4o best used for in 2026?
GPT-4o's unique position in 2026 is as the only OpenAI API model with vision support. Best use cases: image analysis pipelines, document OCR and parsing (invoices, forms, scanned PDFs), product image alt text generation at scale, screenshot-based debugging, and multimodal workflows where audio + image + text need to be handled in a single API call.
What is GPT-4o API pricing?
Standard: $2.50/M input tokens · $10.00/M output tokens. Cached input: $1.25/M (50% off — for repeated system prompts). Batch API: 50% discount across all GPT-4o calls with 24-hour turnaround — the most cost-efficient option for high-volume vision tasks.
How does GPT-4o compare to Claude for vision tasks?
Both GPT-4o and Claude (Sonnet / Opus) support vision inputs. Claude's large context window and nuanced reasoning can be an advantage for complex multi-image analysis or detailed document review. GPT-4o is generally faster for high-throughput vision API workflows and has well-established tooling around its batch capabilities. For developers already in the OpenAI ecosystem, GPT-4o is the natural choice; Claude is worth evaluating for tasks where long reasoning chains matter.
🔄 Top Alternatives
Depending on your use case in 2026, these are the most relevant alternatives:
- → GPT-4.1 — OpenAI's newer API model. Cheaper, 1M context, 21% better coding. No vision support. Best for pure text/coding APIs.
- → Claude (Anthropic) — Strong vision support, large context, excellent for nuanced document analysis. Free tier + API.
- → Google Gemini — Multimodal with native Google integrations. Gemini 1.5 Pro has a 2M token context window.
- → Microsoft Copilot — Built on OpenAI models, integrated with Microsoft 365 suite. Best for enterprise Microsoft environments.