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OpenAI: GPT-4.1 Mini (batch): AI model

Context window:
1,047,576 tokens
Input:
$0.2/1M tokens
Output:
$0.8/1M tokens
Type:
text, image
  • Vision
  • Tools
  • Streaming
  • Long context

OpenAI: GPT-4.1 Mini (batch) is a AI model from OpenAI, available through Hormouz via an OpenAI-compatible API with stable access from inside Iran.

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-4.1-mini:batch",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorOpenAI
TypeText, Image
Context window1,047,576 tokens
Pricing$0.20/M in · $0.80/M out
APIChat Completions
CapabilitiesStreaming · Vision · Tools

Benchmarks

20.2
Coding Index
Better than 19% of models we compared

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
66.4%
HLE
Humanity's Last Exam
5%
IFBench
Instruction-following
38.3%
AA-LCR
Long-context reasoning
44%
CritPt
Research-level physics reasoning
0%
AA Omniscience
Broad factual knowledge accuracy
20.3%
Non-Hallucination
Rate of avoiding fabricated answers
7.3%

Coding

Terminal-Bench Hard
Agentic coding & terminal use
7.6%

Agentic

τ²-Bench
Tool-use agents in dual-control scenarios
52.9%
GDPval
Economically valuable tasks
0%

Source: Artificial Analysis

Design Arena

How Design Arena works ↗
3D
Top 100%
847Elo
Win rate: 30.5%Avg time: 61.7s
Code
Top 91%
999Elo
Win rate: 47.5%Avg time: 71.4s
Data Viz
Top 86%
1,041Elo
Win rate: 49.2%Avg time: 73.6s
Game Dev
Top 77%
1,083Elo
Win rate: 58.5%Avg time: 86.6s
UI Component
Top 90%
968Elo
Win rate: 45.4%Avg time: 64.6s
Website
Top 89%
1,004Elo
Win rate: 47.8%Avg time: 70.4s

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/gpt-4.1-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/gpt-4.1-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/gpt-4.1-mini:batch",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

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Updated 2026-10-13