Speed
Output tokens / second
Custom pricing for production workloads
GPT-4o Mini: Cost-efficient, advanced model for diverse AI applications.
openai/gpt-4o-minihttps://api.aimlapi.com/v1If 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.
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.
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.
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.
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.
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.
See how GPT 4o mini compares in generation speed and latency. Data retrieved Nov 3, 2026.
Output tokens / second
Compare 16 models available on AI/ML API across 5 independent benchmarks.
Expert-written questions across academic subjects.
Graduate-level science questions written to resist web search.
Following precise instructions about the shape of the answer.
Competitive programming problems published after training cutoffs.
Multiple-choice knowledge and reasoning across 14 subjects.
| Usage | Price | Unit |
|---|---|---|
| Input | $0.15 | 1M tokens |
| Output | $0.6 | 1M tokens |
| Cached input | $0.075 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $0.15 | $0.6 | |
| $0.1 | $0.5 | |
| $1 | $5 | |
| $2 | $10 | |
| $2.12 | $10.58 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"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."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "openai/gpt-4o-mini",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "openai/gpt-4o-mini",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());GPT 4o mini has a 128,000 tokens context window.
GPT 4o mini takes image, text as input and returns text.
Use openai/gpt-4o-mini as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
GPT 4o mini became available on August 7, 2025.
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.
Yes, GPT 4o mini can stream responses as they are generated.
Yes, GPT 4o mini accepts image input alongside text.
GPT 4o mini was built by OpenAI.
Yes, it supports function calling, tool use, and parallel tool calls.