Mistralai/operational

Mistral: Mixtral 8x22B Instruct

Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...

Input / output per 1M

$2.00/$6.00

Get an API key

function-callingopen weights

66K

Context window

tokens

52K

Max output

tokens per reply

45ms

Time to first token

p50, EU region

$6.00

Output price

per 1M tokens

Fit

Where this model earns its place

function calling

Tool use and structured output — dependable JSON for agent loops, RAG pipelines, and workflow automation.

Data handling

Requests are processed in the EU. Prompts are not used for training, and logs follow the retention period in your contract — zero-retention is available on request.

Specifications

Model

Model ID: mistralai/mixtral-8x22b-instruct
Provider: Mistralai
Context length: 66K
Max output: 52K
Modality: text
Licence: Open Weight

Commercial

Input: $2.00
Output: $6.00
Cached input: $0.20
Deployment: serverless
Availability: operational
Last updated: 2026-10-26

Cost

What a month actually costs

Workload	Input tokens	Output tokens	Monthly cost
Prototype	1.0M	250K	$3.50
Production	50.0M	12.0M	$172.00
At scale	500.0M	120.0M	$1,720

Illustrative volumes at list price, excluding cached-input discounts and any committed-use agreement. Your invoice shows the same rates, itemised per key.

Cheaper by caching

Repeated prompts — system instructions, retrieved context, few-shot examples — are billed at the cached-input rate where the model supports it. On long system prompts this is typically the largest single line-item saving.

API

Same SDK, different base URL

cURL

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

TypeScript

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.itciphtech.com/v1",
  apiKey: process.env.CIPHER_API_KEY,
});

const res = await client.chat.completions.create({
  model: "mistralai/mixtral-8x22b-instruct",
  messages: [{ role: "user", content: "Hello!" }],
});

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