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OpenAI: GPT-5 Nano (batch): AI model

Context window:
400,000 tokens
Input:
$0.02/1M tokens
Output:
$0.2/1M tokens
Type:
text, image
  • Vision
  • Tools
  • Streaming
  • Long context

Thinking levels: Always thinks · high · medium · low · minimal

OpenAI: GPT-5 Nano (batch) is a AI model from OpenAI, available through Hormouz via an OpenAI-compatible API with stable access from inside Iran.

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

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-5-nano:batch",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorOpenAI
TypeText, Image
Context window400,000 tokens
Pricing$0.02/M in · $0.20/M out
APIChat Completions
CapabilitiesStreaming · Vision · Tools

Benchmarks

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
67%
HLE
Humanity's Last Exam
8.7%
IFBench
Instruction-following
65.9%
AA-LCR
Long-context reasoning
43.7%
CritPt
Research-level physics reasoning
0%
AA Omniscience
Broad factual knowledge accuracy
17.6%
Non-Hallucination
Rate of avoiding fabricated answers
47.4%

Coding

Terminal-Bench Hard
Agentic coding & terminal use
17.4%

Agentic

τ²-Bench
Tool-use agents in dual-control scenarios
30.4%

Source: Artificial Analysis

Design Arena

How Design Arena works ↗
3D
Top 93%
976Elo
Win rate: 36.3%Avg time: 88.2s
Code
Top 78%
1,090Elo
Win rate: 48%Avg time: 90.8s
Data Viz
Top 83%
1,064Elo
Win rate: 46.2%Avg time: 80.7s
Game Dev
Top 80%
1,057Elo
Win rate: 46.5%Avg time: 98.0s
UI Component
Top 79%
1,073Elo
Win rate: 51.9%Avg time: 85.9s
Website
Top 74%
1,108Elo
Win rate: 48.9%Avg time: 90.8s

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-5-nano: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-5-nano: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-5-nano:batch",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

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Updated 2026-10-13