Mistral: Mixtral 8x22B Instruct

Mistral model for multilingual chat, reasoning, and tool-assisted workflows

Model lab: Mistral
Model family: mistral

Modalitiestext, pdf → text

Context window65,536

Maximum output52,428

InputUSD 1.6 / 1M tokens

OutputUSD 4.8 / 1M tokens

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Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to mistral/mixtral-8x22b-instruct.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "mistral/mixtral-8x22b-instruct"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Mixtral 8x22B Instruct API Pricing

Type	Price information
Input	USD 1.6 / 1M tokens
Output	USD 4.8 / 1M tokens
Cached input	USD 0.16 / 1M tokens

Benchmarks

Intelligence Index · v4.35.7

Coding Index—

Agentic Index—

Performance

Performance trends

Throughput88.6 tok/sCurrent

Time to first token1.3 sCurrent

End-to-end latency7.2 sCurrent

Throughput

Current88.6 tok/s

Window average89.4 tok/s

Time to first token

Current1.3 s

Window average1.5 s

End-to-end latency

Current7.2 s

Window average7.5 s

Tail latency (P99)

Current17.6 s

Window average17.0 s

Prompt cache hit rate

Current19.2%

Window average24.5%

Error rate

Current0.0%

Window average0.1%

Availability

Uptime100%At least one provider responded

Availability100%Requests actually served

Error rate0%Share of failed requests

Served requests, hour by hour

24 hours agoNow

Mixtral 8x22B Instruct Compare models

Model	Input price	Output price	Context window	Capabilities
Mixtral 8x22B InstructThis page	USD 1.6 / 1M tokens	USD 4.8 / 1M tokens	65,536	Text output · Tool calling
Saba	USD 0.16 / 1M tokens	USD 0.48 / 1M tokens	32,768	Text output · Tool calling
Mistral Large 2407	USD 1.6 / 1M tokens	USD 4.8 / 1M tokens	131,072	Text output · Tool calling
Mistral Large	USD 1.6 / 1M tokens	USD 4.8 / 1M tokens	128,000	Text output · Tool calling
Mistral Large 4	USD 0.544 / 1M tokens	USD 1.672 / 1M tokens	1,048,576	Text output · Reasoning · Tool calling

Model specifications

Input: text, pdf
Output: text
Context window: 65,536
Maximum output: 52,428
Release date: 2024-04-17
Attachments: Yes
Reasoning: No
Tool calling: Yes
Structured output: Yes
Temperature setting: Yes
Open weights: Yes

Frequently asked questions

What is Mixtral 8x22B Instruct for?

Mistral model for multilingual chat, reasoning, and tool-assisted workflows

What inputs and outputs does Mixtral 8x22B Instruct support?

Recorded inputs: text, PDF; outputs: text.

How is Mixtral 8x22B Instruct priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 1.6 / 1M tokens; Output USD 4.8 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Mixtral 8x22B Instruct?

Current model records list Context window 65,536 tokens; Maximum output 52,428 tokens.

What model parameter does the Quickstart use?

The example uses mistral/mixtral-8x22b-instruct. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.