Text Generation

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GPT 4o Mini API

OpenAI GPT 4o Mini is a fast, economical multimodal model for everyday assistants, classification, extraction, and high-volume customer-facing workloads.

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GPT 4o Mini

Model:

gpt-4o-mini
Price: 0.55 credits per 1K input tokens · ≈ $0.0003-$0.0006 · 0.83 credits per 1K output tokens · ≈ $0.0004-$0.0008High stability with detailed usage records on the APIAny platform.
PlaygroundHistoryPricingModel overviewUse casesAPIFAQ
gpt-4o-mini
62 (suggested: 2,000)
0.7
02

Sampling temperature. Lower is more deterministic.

1024
168192
->

USD estimate $0.0005-$0.001: highest recharge package uses $1 = 2,000 credits; entry package uses $1 = 1,000 credits.

Preview
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GPT 4o Mini
LLMResult preview

History

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0 running · 0 completed

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Input

0.55 credits/1K

≈ $0.0003-$0.0006

Output

0.83 credits/1K

≈ $0.0004-$0.0008

Cache

0.03 credits/1K

≈ $0.000014-$0.000028

Context

-

Max output

-
View API usage
Pricing
Model ID
Type
Quality
Price
gpt-4o-mini
Text Generation
Input tokens
0.55 credits per 1K input tokens · ≈ $0.0003-$0.0006
gpt-4o-mini
Text Generation
Cache read tokens
0.03 credits per 1K cached input tokens · ≈ $0.000014-$0.000028
gpt-4o-mini
Text Generation
Output tokens
0.83 credits per 1K output tokens · ≈ $0.0004-$0.0008
gpt-4o-mini
Text Generation
Minimum request
0.03 credits minimum · ≈ $0.000014-$0.000028
Model IDgpt-4o-mini
TypeText Generation
QualityInput tokens
Price0.55 credits per 1K input tokens · ≈ $0.0003-$0.0006
Model IDgpt-4o-mini
TypeText Generation
QualityCache read tokens
Price0.03 credits per 1K cached input tokens · ≈ $0.000014-$0.000028
Model IDgpt-4o-mini
TypeText Generation
QualityOutput tokens
Price0.83 credits per 1K output tokens · ≈ $0.0004-$0.0008
Model IDgpt-4o-mini
TypeText Generation
QualityMinimum request
Price0.03 credits minimum · ≈ $0.000014-$0.000028

API Reference

Call this model through a standard REST API. Authenticate with your API key, then pick an endpoint below to see its parameters and examples.

Authentication

Every request needs a Bearer token in the Authorization header. Create an API key in the console.

Authorization: Bearer YOUR_API_KEY
POSThttps://apiany.ai/v1/chat/completions

Request parameters

ParameterTypeRequiredNotes
modelstringRequiredModel identifier to invoke. Use this model's ID.
messagesarrayRequiredConversation history in OpenAI chat format (role + content).
streambooleanOptionalWhen true, the response streams back as server-sent events.

Request example

curl "https://apiany.ai/v1/chat/completions" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "gpt-4o-mini",
  "messages": [
    {
      "role": "user",
      "content": "Summarize the following text in three concise bullet points:"
    }
  ],
  "temperature": 0.7,
  "max_tokens": 1024
}'

Response example

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "model": "gpt-4o-mini",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! How can I help?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 12,
    "completion_tokens": 18,
    "total_tokens": 30
  }
}

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Model overview

What is the GPT 4o Mini API?

OpenAI GPT 4o Mini is a fast, economical multimodal model for everyday assistants, classification, extraction, and high-volume customer-facing workloads.

Measure throughput, latency, review effort, and unit economics against the operating target this model supports.

GPT 4o Mini is available on APIAny as one documented API surface with live pricing, model status, request examples, and an on-page playground. Teams can evaluate the model here, then keep authentication, usage records, and production routing in the same platform.

Try GPT 4o Mini in the playground
GPT 4o Mini API workflow overview on APIAny
A visual map of the GPT 4o Mini workflow.

Sources

Which official references does this page cite?

The quotations below are from official API documentation that APIAny implements against.

The Chat Completions API endpoint will generate a model response from a list of messages comprising a conversation.

— OpenAI Chat Completions API

The Gemini API provides access to Google's most capable generative AI models.

— Google Gemini API

APIAny advantages

Why use GPT 4o Mini through APIAny?

GPT 4o Mini on APIAny is a production route with one key, live prices, status, and usage records, so you do not maintain a separate provider integration.

GPT 4o Mini production benefits and operational value
Production value delivered by GPT 4o Mini.

One stable API surface

Call GPT 4o Mini with an APIAny key and a documented request format. Keep your application integration stable while model versions and upstream routes evolve behind the gateway.

Transparent usage and pricing

Review the live GPT 4o Mini pricing rules before a request, estimate credits in the playground, and inspect request-level usage records after the call completes.

Use cases

What can you build with the GPT 4o Mini API?

The GPT 4o Mini API is used for product workflows that need this model's output. Test the same inputs in the playground, compare related models, and choose the route that meets your quality, latency, and budget requirements.

01

Customer support assistants

Use GPT 4o Mini for support classification, answer drafting, self-service guidance, and multilingual conversations. Combine retrieval and policy checks so responses stay grounded in current product information.

Try GPT 4o Mini in the playground
GPT 4o Mini API example for Customer support assistants
Customer support assistants with GPT 4o Mini.

02

Classification and structured extraction

Turn messages and documents into labels, fields, or JSON with GPT 4o Mini. Define a strict output schema and validate results before automated downstream actions.

Try GPT 4o Mini in the playground

Integration

How to integrate the GPT 4o Mini API

Integrating the GPT 4o Mini API is a three-step path from playground test to authenticated production request. The page keeps the model identifier, request schema, pricing, and response examples together. Deploy with bounded inputs, observable task states, and clear escalation or fallback paths.

GPT 4o Mini API integration from request to output
Connecting GPT 4o Mini from API request to result.
  1. 01

    Create an API key

    Sign in to APIAny, create a project API key, and assign only the model scope and budget controls your application needs.

  2. 02

    Send a GPT 4o Mini request

    Copy the request example from this page, set the model field to the selected GPT 4o Mini version, and send it to the documented APIAny endpoint.

  3. 03

    Monitor and refine

    Track status, latency, credits, and returned usage. Compare versions or related models with the same workload before shifting production traffic.

Core capabilities

Key GPT 4o Mini API features

GPT 4o Mini API features are the input, output, and workflow traits that matter when you evaluate this model. Available request parameters remain visible in the live API reference on this page.

GPT 4o Mini capabilities and technical workflow
How GPT 4o Mini capabilities work together.

/01

Multimodal understanding

Combine supported text and visual inputs so GPT 4o Mini can reason over more than one content format in the same workflow.

/02

Low-latency execution

Use the faster GPT 4o Mini route for interactive experiences, rapid iteration, and workloads where response time matters.

/03

Cost-efficient scaling

Run higher-volume GPT 4o Mini workloads while using live pricing and request-level usage records to control spend.

/04

Streaming responses

Render supported GPT 4o Mini text output incrementally for interactive assistants and long-running generation tasks.

/05

SourceOpenAI official documentation

ProviderOpenAI

Reviewed2026-09-01

FAQ

GPT 4o Mini API frequently asked questions

Direct answers about capabilities, use cases, integration, and choosing the right GPT 4o Mini route.

What is the GPT 4o Mini API?

OpenAI GPT 4o Mini is a fast, economical multimodal model for everyday assistants, classification, extraction, and high-volume customer-facing workloads. APIAny makes this model callable through an authenticated API with live pricing, status information, request examples, and a browser playground on the same page.

What can I build with the GPT 4o Mini API?

Common GPT 4o Mini workflows include Customer support assistants, Classification and structured extraction, Multilingual assistants. The best fit depends on the input format, output quality, latency, and cost your product requires.

How do I call GPT 4o Mini through APIAny?

Create an APIAny key, use the endpoint documented on this page, and set the request model field to the selected GPT 4o Mini version. The playground can generate a working payload before you integrate it into application code.

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Production routing controls

Use model status, channel health, retry policy, and usage logs to operate GPT 4o Mini as part of a production workflow instead of treating it as an isolated demo.

GPT 4o Mini API example for Classification and structured extraction
Classification and structured extraction with GPT 4o Mini.

03

Multilingual assistants

Build assistants that understand and respond across languages with GPT 4o Mini. Test terminology, tone, locale-specific formatting, and policy behavior with representative conversations before launch.

Try GPT 4o Mini in the playground
GPT 4o Mini API example for Multilingual assistants
Multilingual assistants with GPT 4o Mini.

OpenAI-compatible integration

Use familiar request patterns where supported, while APIAny handles authentication, model selection, billing, and usage records.

How should I choose a GPT 4o Mini version?

Compare the versions shown on this page by price, supported parameters, and capabilities such as Multimodal understanding, Low-latency execution, Cost-efficient scaling. Test a representative production input before choosing the default route.

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