Mixtral 8x22B Instruct overview
Mixtral 8x22B Instruct by Mistral AI
Mixtral-8x22B-Instruct-v0.1 API combines a Mixture-of-Experts architecture with instruction tuning for fast, efficient handling of complex tasks.
Mixtral 8x22B Instruct specs
- Model ID
mistralai/mixtral-8x22b-instruct- Developer
- Mistral AI
- Context window
- 65,536 tokens
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
Basic Information
- Model Name: Mixtral-8x22B-Instruct-v0.1
- Model Type: Large Language Model (LLM)
Overview:
Mixtral-8x22B-Instruct-v0.1 is a cutting-edge large language model designed for instruction-following tasks. Built on a Mixture of Experts (MoE) architecture, this model is optimized for efficiently processing and generating human-like text based on detailed prompts.
Key Features:
- Mixture of Experts Architecture: Utilizes eight specialized models, each with 141 billion parameters, to enhance processing speed and efficiency.
- Fine-Tuned for Instructions: Specifically optimized to follow detailed instructions accurately, making it suitable for various applications.
- High Throughput: Capable of processing 98 tokens per second, allowing for rapid response generation.
- Multilingual Capabilities: Supports multiple languages, facilitating use in diverse linguistic contexts.
- Robust Performance: Designed to handle complex tasks, including text generation, question answering, and conversational AI.
Intended Use:
The model is intended for developers and researchers looking to implement advanced natural language processing capabilities in applications such as chatbots, virtual assistants, and automated content generation tools.
Language Support:
Mixtral-8x22B-Instruct-v0.1 supports multiple languages, enhancing its usability in global applications.
Architecture:
The model employs a Mixture of Experts architecture that activates different subsets of parameters based on input demands. This architecture allows for efficient computation while maintaining high-quality output.
Use cases
- Chatbots and virtual assistants
- Coding and programming assistance
- Content moderation and filtering
- Application development with function calls
Capabilities
- Function calling
- Streaming
- Structured outputs
- Reasoning
Mixtral 8x22B Instruct benchmarks by
Artificial Analysis
See how Mixtral 8x22B Instruct scores on independent evaluations. Data retrieved Nov 3, 2026.
Benchmark results
Compare 14 models available on AI/ML API across 5 independent benchmarks.
Humanity's Last Exam
Expert-written questions across academic subjects.
GPQA Diamond
Graduate-level science questions written to resist web search.
LiveCodeBench
Competitive programming problems published after training cutoffs.
MMLU-Pro
Multiple-choice knowledge and reasoning across 14 subjects.
MATH-500
Competition mathematics problems.
Mixtral 8x22B Instruct API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $2.12 | 1M tokens |
| Output | $6.35 | 1M tokens |
| Cached input | $0.2116 | 1M tokens |
Mixtral 8x22B Instruct is deprecated on AI/ML API. The rates apply to existing integrations; the models below are current alternatives.
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Mixtral 8x22B Instruct vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $2.12 | $6.35 | |
| $0.1984 | $0.7935 | |
| $1.36 | $4.18 | |
| Aion-3.0 | $3.17 | $6.35 |
| $1.59 | $7.93 |
How to use the Mixtral 8x22B Instruct API
Build with your agent
Give your agent the model details, code and documentation.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "mistralai/mixtral-8x22b-instruct",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "mistralai/mixtral-8x22b-instruct",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "mistralai/mixtral-8x22b-instruct",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Related articles
Mixtral 8x22B Instruct FAQ
What is the context window of Mixtral 8x22B Instruct?
Mixtral 8x22B Instruct has a 65,536 tokens context window.
What inputs and outputs does Mixtral 8x22B Instruct support?
Mixtral 8x22B Instruct takes image, text as input and returns text.
What is the model ID for Mixtral 8x22B Instruct?
Use mistralai/mixtral-8x22b-instruct as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
How much does Mixtral 8x22B Instruct cost?
Mixtral 8x22B Instruct is priced at input $2.7508 / 1M tokens, output $8.2524 / 1M tokens, cached input $0.27508 / 1M tokens.
Does Mixtral 8x22B Instruct support streaming?
Yes, Mixtral 8x22B Instruct can stream responses as they are generated.
Can Mixtral 8x22B Instruct read images?
Yes, Mixtral 8x22B Instruct accepts image input alongside text.
Who created Mixtral 8x22B Instruct?
Mixtral 8x22B Instruct was built by Mistral AI.

