MoonshotAI: Kimi K2.6: AI model
Kimi K2.6 is a Moonshot AI multimodal model for long-horizon coding, UI generation and multi-agent orchestration, with a 256K context and text+image input. Reachable from inside Iran through Hormouz.
- Context window:
- 262,144 tokens
- Input:
- $0.65/1M tokens
- Output:
- $3.41/1M tokens
- Type:
- text, image
- Vision
- Tools
- Streaming
- Long context
Thinking levels:
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation and multi-agent orchestration. It handles complex end-to-end coding tasks across languages such as Python, Rust and Go, and can turn prompts and visual inputs into production-ready interfaces.
Its agent-swarm design scales to many parallel sub-agents for autonomous task decomposition, so it can deliver documents, websites and spreadsheets in a single run. It accepts text and image input, always reasons, and offers a 256K-token context window.
Pricing is usage-based: $0.55 per million input tokens and $3.2 per million output tokens. Hormouz provides stable access to Kimi K2.6 from inside Iran, with no foreign credit card or circumvention tooling required.
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...
Quickstart
curl https://api.hormouz.net/v1/chat/completions \
-H "Authorization: Bearer ng-YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "moonshotai/kimi-k2.6",
"messages": [{"role": "user", "content": "Hello!"}]
}'Specs
| Vendor | Moonshot AI |
|---|---|
| Type | Text, Image |
| Context window | 262,144 tokens |
| Pricing | $0.65/M in · $3.41/M out |
| API | Chat Completions |
| Capabilities | Streaming · Vision · Tools |
Benchmarks
Reasoning
Coding
Agentic
Source: Artificial Analysis
Design Arena
How Design Arena works ↗Ranking distribution
24655 tournaments ?
Metrics sourced from Design Arena
Code example
curl https://api.hormouz.net/v1/chat/completions \
-H "Authorization: Bearer ng-YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "moonshotai/kimi-k2.6",
"messages": [{"role": "user", "content": "Hello!"}]
}'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="moonshotai/kimi-k2.6",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)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: "moonshotai/kimi-k2.6",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);Buy the MoonshotAI: Kimi K2.6 API, paid in rial
- Buy credit with an Iranian bank card; no foreign card or account needed.
- One Hormouz key reaches MoonshotAI: Kimi K2.6 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.
Use via Hormouz
Connect to this model and 600+ others with one API key, then see usage down to each request.
Request company accessFAQ
- How much does Kimi K2.6 cost?
- Billing is usage-based: $0.55 per million input tokens and $3.2 per million output tokens. There is no fixed monthly fee. You pay only for what you use, at the rates shown in the Hormouz dashboard.
- How do I access Kimi K2.6 from inside Iran?
- Create an account on Hormouz and generate an API key. Hormouz provides a stable path to Kimi K2.6 from inside Iran, with no foreign credit card or circumvention tooling required.
- Is Kimi K2.6 compatible with OpenAI code?
- Yes. Hormouz exposes an OpenAI-compatible API. Just change the base URL to Hormouz and swap in your Hormouz key. Your existing OpenAI SDKs and code run without a rewrite.
- What is Kimi K2.6 designed for?
- It is built for long-horizon coding, UI/UX generation and multi-agent orchestration. It accepts text and image input, scales to many parallel sub-agents, and offers a 256K-token context window for large end-to-end tasks.
Updated 2026-10-13