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Mistral: Mixtral 8x22B Instruct: AI model

Mixtral 8x22B Instruct is Mistral's instruct-tuned sparse mixture-of-experts model (39B active of 141B), strong at math, coding and multilingual tasks, with a 64K-token context. Reachable from inside Iran through Hormouz.

Context window:
65,536 tokens
Input:
$2/1M tokens
Output:
$6/1M tokens
Type:
text
  • Tools
  • Streaming

Mixtral 8x22B Instruct is Mistral's official instruction-tuned version of Mixtral 8x22B. It is a sparse mixture-of-experts model that uses 39B active parameters out of 141B total, which gives it strong capability while keeping per-token compute. And therefore cost. Efficient for its size.

It is particularly strong at math, coding and multilingual tasks, with a 64K-token context window and tool-calling support. It is served through Hormouz behind an OpenAI-compatible API: point your base URL at Hormouz, drop in a Hormouz key, and existing OpenAI SDK code runs unchanged.

Pricing is usage-based: $2 per million input tokens and $6 per million output tokens. Hormouz provides stable access from inside Iran, with no foreign credit card or circumvention tooling required.

Mistral's official instruct fine-tuned version of Mixtral 8x22B. It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistralai/mixtral-8x22b-instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorMistral AI
TypeText
Context window65,536 tokens
Pricing$2.00/M in · $6.00/M out
APIChat Completions
CapabilitiesStreaming · Tools

Benchmarks

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
33.2%
HLE
Humanity's Last Exam
4%

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": "mistralai/mixtral-8x22b-instruct",
    "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="mistralai/mixtral-8x22b-instruct",
    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: "mistralai/mixtral-8x22b-instruct",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Mistral: Mixtral 8x22B Instruct API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches Mistral: Mixtral 8x22B Instruct 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.
Create an account

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FAQ

How much does Mixtral 8x22B Instruct cost?
Billing is usage-based: $2 per million input tokens and $6 per million output tokens. There is no fixed monthly fee. You pay only for what you use.
How do I access Mixtral 8x22B Instruct from inside Iran?
Create an account on Hormouz and generate an API key. Hormouz provides stable access from inside Iran, with no foreign credit card or circumvention tooling required.
Is Mixtral 8x22B Instruct 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 SDKs and code run without a rewrite.
Why is Mixtral 8x22B cost-efficient for its size?
It is a sparse mixture-of-experts model that activates only 39B of its 141B parameters per token, so it delivers strong quality while keeping per-token compute and cost lower than a dense model of the same total size.
What is Mixtral 8x22B Instruct best at?
It is strong at math, coding and multilingual tasks, and as the instruction-tuned variant it follows prompts well. It offers a 64K-token context window and supports tool calling.

Updated 2026-10-13