GPT 4o mini API

GPT-4o Mini: Cost-efficient, advanced model for diverse AI applications.

Modalities
Text, ImageText, Image
In / Out price
$0.15/$0.6per 1M
Context window
125K tokens
Released
Jul 18, 2024

GPT 4o mini overview

The pelican test: one prompt, every text model, unedited SVG output from Nov 3, 2026.

SVG of a pelican riding a bicycle, written by GPT 4o mini through AI/ML API

GPT 4o mini specs

Model ID
openai/gpt-4o-mini
Developer
OpenAI
Context window
128,000 tokens
Input
Text, Image
Output
Text, Image
API
OpenAI-compatible, base URL https://api.aimlapi.com/v1

Fast, Affordable Multimodal AI for Scalable Applications

If you’re building with AI and trying to balance performance, speed, and cost, GPT-4o Mini hits a sweet spot that’s hard to ignore. It’s designed for teams that need reliable intelligence at scale without burning through budget or hitting rate limits too early.

GPT-4o Mini delivers strong reasoning, fast responses, and native multimodal capabilities (text, image, and more) in a compact, cost-efficient package. Whether you’re powering chatbots, automating workflows, or embedding AI into SaaS products, this model is built to handle real-world workloads.

Why GPT-4o Mini?

GPT-4o Mini is built for real-world usage. It performs reliably in high-throughput environments and continuous API workflows. Developers benefit from lower operational costs, high rate limits, and predictable performance. The model is particularly appealing to startups, SaaS platforms, and enterprise teams looking for a balance of speed and intelligence.

Cost efficiency is a core advantage. You can serve more users, run longer conversations, and experiment freely without worrying about escalating token costs. Combined with faster inference, GPT-4o Mini ensures that your applications respond quickly, creating a smoother user experience.

Multimodal Input and Output

GPT-4o Mini supports both text and image inputs, enabling richer experiences for end users. You can analyze screenshots, extract structured data from images, and combine text instructions with visual context. This flexibility is ideal for automation, customer support, and AI copilots that need to understand both visual and textual information.

Structured Reasoning

For tasks requiring structured logic, such as classification, data transformation, or workflow automation, GPT-4o Mini delivers consistent and predictable results. Its reasoning capabilities make it reliable for production workflows without extensive post-processing.

Long Context Handling

GPT-4o Mini can process longer context windows, allowing applications to maintain conversation history or analyze larger documents without complex memory management. This makes it ideal for use cases where continuity and context matter.

GPT-4o Mini vs Larger Models

For many applications, GPT-4o Mini is the preferred choice. It balances cost and performance effectively and handles the majority of production workloads. Larger models may still be necessary for deep multi-step reasoning, advanced coding assistance, or specialized scientific analysis, but GPT-4o Mini often serves as the default model, with escalation only when absolutely needed.

Use cases

  • chatbots and conversational AI requiring fast, cost-effective responses
  • document and image content understanding and generation in multiple languages
  • applications combining text and visual inputs for reasoning and assistance
  • real-time customer support and automated assistance
  • content creation with structured data outputs
  • low-cost fine-tuning for specialized domains or tasks in edge application

Capabilities

  • Function calling
  • Streaming
  • Structured outputs

GPT 4o mini benchmarks by Artificial Analysis

See how GPT 4o mini compares in generation speed and latency. Data retrieved Nov 3, 2026.

Speed

Output tokens / second

Benchmark results

Compare 16 models available on AI/ML API across 5 independent benchmarks.

Humanity's Last Exam

Expert-written questions across academic subjects.

GPT 4o mini API pricing

GPT 4o mini pricing in US dollars
UsagePriceUnit
Input$0.151M tokens
Output$0.61M tokens
Cached input$0.0751M tokens

Prices from the AI/ML API price list, checked on Nov 4, 2026.

GPT 4o mini vs other models: token prices

AI/ML API input and output rates for 5 models, per million tokens.

AI/ML API model prices in USD per million tokens
ModelInputOutput
GPT 4o mini$0.15$0.6
GPT-6 Luna$0.1$0.5
GPT-6.1 Terra$1$5
GPT-6.1 Sol$2$10
GPT-6.1 Terra Pro$2.12$10.58

How to use the GPT 4o mini API

View docs

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "openai/gpt-4o-mini",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

Related articles

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GPT 4o mini FAQ

What is the context window of GPT 4o mini?

GPT 4o mini has a 128,000 tokens context window.

What inputs and outputs does GPT 4o mini support?

GPT 4o mini takes image, text as input and returns text.

What is the model ID for GPT 4o mini?

Use openai/gpt-4o-mini as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

When was GPT 4o mini released?

GPT 4o mini became available on August 7, 2025.

How much does GPT 4o mini cost?

GPT 4o mini costs $0.15 input and $0.6 output per 1M tokens on AI/ML API, billed as you go with no subscription.

Does GPT 4o mini support streaming?

Yes, GPT 4o mini can stream responses as they are generated.

Can GPT 4o mini read images?

Yes, GPT 4o mini accepts image input alongside text.

Who created GPT 4o mini?

GPT 4o mini was built by OpenAI.

Does GPT 4o mini support function calling and tool use?

Yes, it supports function calling, tool use, and parallel tool calls.

Start building with GPT 4o mini

GPT 4o mini API

openai/gpt-4o-mini

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "openai/gpt-4o-mini",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'