How do I access Inkling Small 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 Inkling Small 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.

Thinking Machines: Inkling Small: AI model

Inkling Small is the efficient open-weight multimodal model of the Inkling family from Thinking Machines with a 524K-token context window. Reachable from inside Iran through Hormouz.

Context window:: 524,288 tokens
Input:: $0.45/1M tokens
Output:: $1.2/1M tokens
Type:: text, image, audio

Vision
Tools
Streaming
Long context

Thinking levels: max · high · medium · low · minimal · none

Inkling Small is the smaller member of Thinking Machines Lab's Inkling family: an open-weight mixture-of-experts with 12B active parameters out of 276B. It accepts text, images and audio over a 524K-token context and is suited to reasoning, coding, agents, retrieval-augmented answers, careful instruction following and multilingual chat.

It accepts text, image and audio input and returns text, and supports tool calling and streaming. Reasoning can be switched on when a problem needs more thought and left off when speed matters. Inkling Small is commonly used for retrieval-augmented question answering, coding, multilingual assistants and audio or image understanding. 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: $0.45 per million input tokens and $1.2 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.

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...

Quickstart

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

Specs

Vendor	Thinking Machines
Type	Text, Image, Audio
Context window	524,288 tokens
Pricing	$0.45/M in · $1.20/M out
API	Chat Completions
Capabilities	Streaming · Vision · Tools

Benchmarks

25.7

Intelligence Index

Better than 50% of models we compared

52.9

Coding Index

Better than 60% of models we compared

23.5

Agentic Index

Better than 55% of models we compared

Reasoning

GPQA Diamond

Graduate-level scientific reasoning

89.5%

HLE

Humanity's Last Exam

33.3%

AA-LCR

Long-context reasoning

75.7%

CritPt

Research-level physics reasoning

8.3%

AA Omniscience

Broad factual knowledge accuracy

33.2%

Non-Hallucination

Rate of avoiding fabricated answers

37%

Coding

SciCode

Python for scientific computing

49.7%

Agentic

GDPval

Economically valuable tasks

31.2%

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": "thinkingmachines/inkling-small",
    "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="thinkingmachines/inkling-small",
    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: "thinkingmachines/inkling-small",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Thinking Machines: Inkling Small API, paid in rial

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One Hormouz key reaches Thinking Machines: Inkling Small 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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FAQ

How much does Inkling Small cost?: Pricing is usage-based: $0.45 per million input tokens and $1.2 per million output tokens. There is no fixed monthly fee, and you pay only for the tokens you use.
How do I access Inkling Small 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 Inkling Small 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 Inkling Small have?: It has a 524K-token context window, accepts text, image and audio input, and supports tool calling and streaming. Reasoning can be switched on when a problem needs more thought and left off when speed matters.
What is Inkling Small good for?: Typical uses are retrieval-augmented question answering, coding, multilingual assistants and audio or image understanding.

Updated 2026-10-13