How do I access Granite 4.2 8B from inside Iran?

Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card or circumvention tooling required.

Is Granite 4.2 8B compatible with OpenAI code?

Yes. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.

IBM: Granite 4.2 8B: AI model

Granite 4.2 8B is a compact dense reasoning model in 12 languages from IBM with a 131K-token context window. Reachable from inside Iran through Hormouz.

Context window:: 131,072 tokens
Input:: $0.06/1M tokens
Output:: $0.25/1M tokens
Type:: text

Tools
Streaming
Long context

Thinking levels: high · low · none

Granite 4.2 8B is a small dense reasoning model from IBM's Granite family. It can think fully, think briefly or skip thinking, so one model covers quick answers and harder problems in maths, code and multi-step agent work. It supports twelve languages, including English, German, Spanish, French, Japanese, Portuguese, Arabic, Korean and Chinese.

It accepts text input and returns text, and supports tool calling, structured JSON output and streaming. Reasoning can be switched on when a problem needs more thought and left off when speed matters. Granite 4.2 8B is commonly used for maths, code generation, multilingual chat and lightweight agents where a small model is enough. Hormouz serves it behind an OpenAI-compatible API: point your base URL at Hormouz, drop in a Hormouz key, and existing OpenAI SDK code runs without changes.

Pricing is usage-based: $0.06 per million input tokens and $0.25 per million output tokens. There is no fixed monthly fee, and you pay only for the tokens you use. Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.

Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "ibm-granite/granite-4.2-8b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

Vendor	IBM Granite
Type	Text
Context window	131,072 tokens
Pricing	$0.06/M in · $0.25/M out
API	Chat Completions
Capabilities	Streaming · Tools

Benchmarks

11.1

Intelligence Index

Better than 15% of models we compared

22.4

Coding Index

Better than 23% of models we compared

1.3

Agentic Index

Better than 20% of models we compared

Reasoning

GPQA Diamond

Graduate-level scientific reasoning

63.1%

HLE

Humanity's Last Exam

9.7%

AA-LCR

Long-context reasoning

45%

CritPt

Research-level physics reasoning

0.3%

AA Omniscience

Broad factual knowledge accuracy

11.2%

Non-Hallucination

Rate of avoiding fabricated answers

68%

Coding

SciCode

Python for scientific computing

31.5%

Agentic

GDPval

Economically valuable tasks

Source: Artificial Analysis

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": "ibm-granite/granite-4.2-8b",
    "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="ibm-granite/granite-4.2-8b",
    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: "ibm-granite/granite-4.2-8b",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

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FAQ

How much does Granite 4.2 8B cost?: Pricing is usage-based: $0.06 per million input tokens and $0.25 per million output tokens. There is no fixed monthly fee, and you pay only for the tokens you use.
How do I access Granite 4.2 8B from inside Iran?: Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card or circumvention tooling required.
Is Granite 4.2 8B compatible with OpenAI code?: Yes. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.
What context window and capabilities does Granite 4.2 8B have?: It has a 131K-token context window, accepts text input, and supports tool calling, structured JSON output and streaming. Reasoning can be switched on when a problem needs more thought and left off when speed matters.
What is Granite 4.2 8B good for?: Typical uses are maths, code generation, multilingual chat and lightweight agents where a small model is enough.

Updated 2026-10-13