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mistralai/mixtral-8x22b-instruct

mistralai/mixtral-8x22b-instruct

65,536 context · $2.00/M input tokens · $6.00/M output tokens

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,...

Preise

Pay-per-Use

Keine Vorabkosten, zahlen Sie nur, was Sie nutzen

Eingabe$2.00 / M Tokens
Ausgabe$6.00 / M Tokens

API-Nutzung

Verwenden Sie die folgenden Codebeispiele zur Integration mit unserer API:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

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

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

Modelleinführung

Mistralai mixtral-8x22b-instruct

mistralai mixtral-8x22b-instruct


Why It Looks Great

  • Large Language Model architecture for efficient processing
  • 65536 context window for long document handling
  • Competitive pricing at $2.2/$6.6 per million tokens

Key Features

  • Context Window: 65536 tokens
  • Max Output: 4096 tokens
  • Vision: Supported
  • Function Calling: Supported

Specifications

SpecificationValue
ProviderMistralai
Model TypeLarge Language Model (LLM)
ArchitectureN/A
Context Window65536 tokens
Max Output4096 tokens
InputText
OutputText
VisionSupported
Function CallingSupported

Pricing

Token TypeCost per Million Tokens
Input$2.2
Output$6.6

How to Use

  1. Write your prompt — describe the task, provide context, and specify desired output format.
  2. Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: mistralai/mixtral-8x22b-instruct


API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

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

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

cURL

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

Notes

  • Model: mistralai/mixtral-8x22b-instruct
  • Provider: Mistralai

Info

Anbietermistral
Typllm

Unterstützte Funktionen

Eingabe
Text
Ausgabe
Text
Kontext65,536
Max. Ausgabe4,096
Vision-
Function Calling✓ Unterstützt

API-Zugriffsanleitung

Base URLhttps://llm.wavespeed.ai/v1
API-Endpunktchat/completions
Modell-IDmistralai/mixtral-8x22b-instruct

mistralai/mixtral-8x22b-instruct

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,...

Eingabe

$2 /M

Ausgabe

$6 /M

Kontext

66K

Max. Ausgabe

4K

Tool-Nutzung

Unterstützt

mistralai/mixtral-8x22b-instruct auf WaveSpeedAI testen

Zugriff auf mistralai/mixtral-8x22b-instruct über unsere einheitliche API — OpenAI-kompatibel, keine Kaltstarts, transparente Preise.

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