o4-mini-deep-research

OpenAIMCP Tool CallReasoning
openai/o4-mini-deep-researchClosed API

Research model for long-horizon investigation, synthesis, and analytical reports

Benchmark Pricing$1.80 / 1M in$7.20 / 1M out$0.45 cache read
Context: 200,000 tokens•Max Output: 100,000 tokens•Knowledge: 2024-05•Released: 2025-06-26

TECHNICAL SPECIFICATIONS

Context Window200,000200K tokens
Max Output100,000100K tokens
LicenseProprietaryCloud API only
Input Modalities
TextVision
Function / Tool CallingSupported (MCP Ready)
Structured OutputsGuaranteed Schema

MODEL CONTEXT PROTOCOL (MCP) READINESS

✓ o4-mini-deep-research natively supports OpenAI / Anthropic format tool calling and is fully compatible with MCP servers and agent loops.

MCP Context Window Recommendations

With a context capacity of 200,000 tokens, this model can handle moderately large MCP tool definitions and multi-turn conversation logs comfortably.

API CALL INVOCATION EXAMPLE

// Example: Calling o4-mini-deep-research via OpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY,
});

const response = await client.chat.completions.create({
  model: "openai/o4-mini-deep-research",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

console.log(response.choices[0].message.content);

PRICING BY PROVIDER

1 providers
Poeopenai/o4-mini-deep-research
$1.80 / $7.20$0.45 cache

Rates in USD per 1M tokens. Rates synchronized from models.dev public catalog.

Prompt Caching Active

This model supports prompt caching at $0.45 / 1M tokens, saving up to 75% on repetitive MCP tool definitions and system instructions.

MODEL RESOURCES