Mixtral 8x7B Instruct

Mistral chattool_use

API ID: mistralai/mixtral-8x7b-instruct

Input Price
$0.54
/1M tokens
Output Price
$0.54
/1M tokens

About Mixtral 8x7B Instruct

Mixtral 8x7B Instruct is a pretrained generative Sparse Mixture of Experts, by Mistral AI, for chat and instruction use. Incorporates 8 experts (feed-forward networks) for a total of 47 billion parameters. Instruct model fine-tuned by Mistral. #moe

๐Ÿ’ฐ
Price Ranking
#836 lowest price among 1240 Chat models

Model Specifications

Context Length
33k
Max Output
16k
Release Date
2023-12-10
Capabilities
chat tool_use
Input Modalities
text
Output Modalities
text

Best For

  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.41
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$12.96
/month
1000 tickets/day, ~800 tokens each

Mistral Model Lineup

Compare all models from Mistral to find the best fit

Model Input Output Context Capabilities
Mixtral 8x7B Instruct Current Free Free 33k chat tool_use
Pixtral 12B Free Free 4k chat vision
Mistral 7B Instruct v0.3 Free Free 33k chat
Mistral 7B Instruct Free Free 33k chat
Mixtral 8x22B (base) Free Free 66k chat
Mixtral 8x22B (base) Free Free 66k chat

Similar Models from Other Providers

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Alibaba Qwen Qwen3 VL 235B A22B Instruct
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Output: $0.88
Context: 262k
Undi95 ReMM SLERP 13B
Input: $0.45
Output: $0.65
Context: 6k
Undi95 ReMM SLERP 13B
Input: $0.45
Output: $0.65
Context: 6k
Alibaba Qwen Qwen3 235B A22B Instruct 2507
Input: $0.22
Output: $0.88
Context: 262k

๐Ÿš€ Quick Start

Get started with Mixtral 8x7B Instruct API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="mistralai/mixtral-8x7b-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)