OpenAI's fast, lightweight reasoning model optimized for multi-step problem solving at lower cost.
O4-Mini (openai/o4-mini) is a text model from OpenAI, released 2026-05-22. Context window: 200,000 tokens; max output 100,000. Pricing via AIgateway: input $1.10/M tokens, output $4.40/M tokens. Capabilities: tools, streaming, vision, json, reasoning. Call it via https://api.aigateway.sh/v1/chat/completions with the OpenAI SDK — set model="openai/o4-mini". Best for: Chatbots, Content generation, Agentic workflows.
curl https://api.aigateway.sh/v1/chat/completions \
-H "Authorization: Bearer $AIGATEWAY_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"openai/o4-mini","messages":[{"role":"user","content":"hello"}],"stream":true}'message.reasoning_content (non-streaming) and delta.reasoning_content (streaming). Safe to display or ignore — it's separate from content.max_completion_tokens instead of max_tokens. Our gateway accepts either and translates.{
"model": "openai/o4-mini",
"messages": [
{ "role": "system", "content": "You are a helpful assistant." },
{ "role": "user", "content": "Hello!" }
],
"temperature": 0.7,
"top_p": 0.95,
"max_completion_tokens": 1024,
"reasoning_effort": "high", // none | low | medium | high — deeper = more thorough, more tokens
"stream": false,
"tools": [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get current weather for a city",
"parameters": {
"type": "object",
"properties": {
"city": { "type": "string" }
},
"required": ["city"]
}
}
}
],
"tool_choice": "auto",
"parallel_tool_calls": true,
"response_format": { "type": "json_object" }
// For vision: messages[].content can be an array of
// { type: "text", text: "..." } and
// { type: "image_url", image_url: { url: "https://..." } }
}{
"id": "chatcmpl-abc123",
"object": "chat.completion",
"created": 1776947082,
"model": "openai/o4-mini",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello! How can I help you today?",
"reasoning_content": "The user asked..." // O4-Mini chain-of-thought,
"tool_calls": [
{
"id": "call_abc123",
"type": "function",
"function": {
"name": "get_weather",
"arguments": "{\"city\":\"Tokyo\"}"
}
}
]
},
"finish_reason": "stop" // or "tool_calls" when calling a function
}
],
"usage": {
"prompt_tokens": 24,
"completion_tokens": 12,
"total_tokens": 36
}
}"stream": true// 1. Role announcement (first chunk):
data: {"choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null}]}
// 2. Reasoning chunks (O4-Mini thinks first):
data: {"choices":[{"index":0,"delta":{"reasoning_content":"The user "},"finish_reason":null}]}
data: {"choices":[{"index":0,"delta":{"reasoning_content":"wants..."},"finish_reason":null}]}
// 3. Content chunks (final answer):
data: {"choices":[{"index":0,"delta":{"content":"Hello"},"finish_reason":null}]}
data: {"choices":[{"index":0,"delta":{"content":"!"},"finish_reason":null}]}
// Tool-call chunks (when the assistant calls a function):
data: {"choices":[{"index":0,"delta":{"tool_calls":[
{"index":0,"id":"call_abc","type":"function",
"function":{"name":"get_weather","arguments":""}}]},"finish_reason":null}]}
data: {"choices":[{"index":0,"delta":{"tool_calls":[
{"index":0,"function":{"arguments":"{\"city\":"}}]},"finish_reason":null}]}
data: {"choices":[{"index":0,"delta":{"tool_calls":[
{"index":0,"function":{"arguments":"\"Tokyo\"}"}}]},"finish_reason":null}]}
// Concat arguments fragments by index → {"city":"Tokyo"}
// Finish chunk:
data: {"choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}
// Terminator:
data: [DONE]# pip install aigateway-py openai
# aigateway-py adds sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK covers chat — drop-in per our SDK's own guidance.
from openai import OpenAI
client = OpenAI(
base_url="https://api.aigateway.sh/v1",
api_key="sk-aig-...",
)
stream = client.chat.completions.create(
model="openai/o4-mini",
messages=[{"role": "user", "content": "Hello!"}],
stream=True,
)
for chunk in stream:
print(chunk.choices[0].delta.content or "", end="", flush=True)
# O4-Mini returns chain-of-thought in message.reasoning_content —
# display it in a collapsed "show thinking" UI or just ignore it.