Model introduction
GPT-4o is OpenAI's general-purpose model. It accepts text and image input and produces text output. Its official documentation lists function calling and structured outputs.
Model capabilities
Specifications come from the cited model material. Catalog tags help identify access features; use the source documentation for exact limits.
Verified specifications
- Input / output
- Text, image / Text
- Context window
- 128,000 tokens
- Maximum output
- 16,384 tokens
- Verified capabilities
- Function calling; structured outputs
Sources: OpenAI GPT-4o model documentation
Model pricing and access
Prices are read directly from the MoleAPI console catalog and shown by current billing group and context tier.
Your final charge follows the account group shown in the console.
Live pricing source
Pricing table
USD / 1M tokensStandardx1defaultInput $2.5 · Output $10
Input
$2.5 / 1M tokens
Output
$10 / 1M tokens
Cache read
$1.25 / 1M tokens
Access protocols
Available billing groups: Standard
- openai
- POST
- /v1/chat/completions
- openai-response
- POST
- /v1/responses
About gpt-4o
This introduction is transcreated for clarity and cross-checked against the cited model material.
GPT-4o is OpenAI's general-purpose model. It accepts text and image input and produces text output. Its official documentation lists function calling and structured outputs.
Core strengths
- Text and image input share one general-purpose request flow.
- Official support for function calling and structured outputs fits production integrations.
- A mature ecosystem makes it a useful compatibility baseline.
Limitations
- Its 128K context and 16K output ceiling trail newer long-context models.
- It is not the newest specialist for long-running agents or maximum-effort reasoning.
Selection and production evaluation
Start a gpt-4o evaluation by mapping its official positioning to real work: General applications that combine text and image input with tool calling or dependable structured results. The first pass should exercise both its main strength, "Text and image input share one general-purpose request flow.", and its known limitation, "Its 128K context and 16K output ceiling trail newer long-context models.", instead of relying on a single subjective general-chat comparison.
For access, MoleAPI currently lists openai, openai-response protocols and the Standard billing groups for this OpenAI model; the default price summary is Input $2.5 / 1M tokens · Output $10 / 1M tokens. Pricing, protocols, and groups come from the live catalog, so production planning should still price representative requests using real context length, output size, and cache-hit assumptions.
No independent ranking is shown unless it matches this exact model ID and reasoning profile, so nearby variants are not used as a proxy. Before launch, pin the model ID, prompt, and sample set, then compare task accuracy, structured-output validity, tool-call success, and timeout rates under the same conditions.
The model material on this page was last checked on 2026-07-23. When upstream model cards, context limits, or tool support change, update the cited bilingual facts before changing the recommendation; live MoleAPI price changes remain separate and update from the catalog automatically.
Code examples
These examples use MoleAPI's Responses API endpoint and run after you replace the API key.
curl https://api.moleapi.com/v1/responses \
-H "Authorization: Bearer $MOLEAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-4o",
"input": "Explain this problem step by step."
}'Frequently asked questions
How is gpt-4o priced?
This page reads prices from the MoleAPI console API and updates with model prices, context tiers, and account groups.
How can I access gpt-4o?
Protocols and endpoints come from the supported_endpoint_types field in the MoleAPI model catalog.
How do I switch an existing project to gpt-4o?
Keep the MoleAPI API address and key, replace the model parameter with the model ID on this page, then check protocol-specific parameter differences.
Where do the gpt-4o model details come from?
Capabilities and limitations are checked against OpenAI and the other cited pages. Pricing and available protocols come only from the MoleAPI console.