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OpenAI: o4 Mini (batch): AI model

Context window:
200,000 tokens
Input:
$0.55/1M tokens
Output:
$2.2/1M tokens
Type:
text, image
  • Vision
  • Tools
  • Streaming
  • Long context

Thinking levels:

OpenAI: o4 Mini (batch) is a AI model from OpenAI, available through Hormouz via an OpenAI-compatible API with stable access from inside Iran.

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/o4-mini:batch",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorOpenAI
TypeText, Image
Context window200,000 tokens
Pricing$0.55/M in · $2.20/M out
APIChat Completions
CapabilitiesStreaming · Vision · Tools

Benchmarks

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
78.4%
HLE
Humanity's Last Exam
16.5%
IFBench
Instruction-following
68.7%
AA-LCR
Long-context reasoning
61%
CritPt
Research-level physics reasoning
0.6%
AA Omniscience
Broad factual knowledge accuracy
24.8%
Non-Hallucination
Rate of avoiding fabricated answers
19.5%

Coding

Terminal-Bench Hard
Agentic coding & terminal use
15.2%

Agentic

τ²-Bench
Tool-use agents in dual-control scenarios
55.6%

Source: Artificial Analysis

Design Arena

How Design Arena works ↗
3D
Top 99%
864Elo
Win rate: 34%Avg time: 30.6s
Code
Top 92%
982Elo
Win rate: 46.4%Avg time: 38.9s
Data Viz
Top 89%
999Elo
Win rate: 50%Avg time: 29.2s
Game Dev
Top 86%
1,016Elo
Win rate: 50%Avg time: 35.8s
UI Component
Top 89%
990Elo
Win rate: 46.9%Avg time: 46.0s
Website
Top 90%
992Elo
Win rate: 47.1%Avg time: 40.6s

Metrics sourced from Design Arena

Code example

cURL
curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/o4-mini:batch",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
Python
from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
    model="openai/o4-mini:batch",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
JavaScript
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
  model: "openai/o4-mini:batch",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the OpenAI: o4 Mini (batch) API, paid in rial

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  • One Hormouz key reaches OpenAI: o4 Mini (batch) and 600+ other models, and you pay only for what you use.
  • No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
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Updated 2026-10-13