mixtral-8x22b-instruct

completions

On:fireworksaimistralai

mixtral-8x22b-instruct

completions

Published by: mistralaiProviders:

fireworksai mistralai

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, and reasoning - large context length (64k) - fluency in English, French, Italian, German, and Spanish See benchmarks on the launch announcement [here](https://mistral.ai/news/mixtral-8x22b/). #moe

Provider	Input	Output
fireworksai	$1.2 / 1M tokens	$1.2 / 1M tokens
mistralai	$2 / 1M tokens	$6 / 1M tokens

Released

Apr 17, 2024

Knowledge

Oct 20, 2023

Context

65536

Input

$1.2 / 1M tokens

Output

$1.2 / 1M tokens

Capabilities: tools

Accepts: text

Returns: text

Providers	Context	Input Price	Output Price	Input Formats	Output Formats	License
fireworksai	65536 tokens	$1.2 / 1M tokens	$1.2 / 1M tokens	text	text
mistralai	65536 tokens	$2 / 1M tokens	$6 / 1M tokens	text	text	Apache-2.0

Released Apr 17, 2024Knowledge Cutoff: Oct 20, 2023

Access mixtral-8x22b-instruct through LangDB AI Gateway

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Integrate with mistralai's mixtral-8x22b-instruct and 250+ other models through a unified API. Monitor usage, control costs, and enhance security.

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Code Examples

Integration samples and API usage

Code Samples for mixtral-8x22b-instruct

Python SDK Example:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    api_key="<your_api_key>"
)

response = client.chat.completions.create(
    model="mixtral-8x22b-instruct",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

print(response.choices[0].message.content)

TypeScript SDK Example:

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: "https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    apiKey: "<your_api_key>"
});

const response = await client.chat.completions.create({
    model: "mixtral-8x22b-instruct",
    messages: [
        { role: "user", content: "Hello, how are you?" }
    ]
});

console.log(response.choices[0].message.content);

cURL Example:

curl -X POST "https://api.us-east-1.langdb.ai/projects/<your_project_id>/v1/chat/completions" \
  -H "Authorization: Bearer <your_api_key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mixtral-8x22b-instruct",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: mixtral-8x22b-instruct

Provider: fireworksai

API Endpoint: $https://api.us-east-1.langdb.ai

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