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,...
Pricing
Pay-per-use
No upfront costs, pay only for what you use
Try the model
API Usage
Use the following code examples to integrate with our 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)Model Introduction
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
| Specification | Value |
|---|---|
| Provider | Mistralai |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 65536 tokens |
| Max Output | 4096 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
Pricing
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $2.2 |
| Output | $6.6 |
How to Use
- Write your prompt — describe the task, provide context, and specify desired output format.
- 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
Supported Functionality
API Access Guide
Mixtral 8x22b Instruct API
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,...
Input
$2 /M
Output
$6 /M
Context
66K
Max Output
4K
Tool Use
Supported
Try Mixtral 8x22b Instruct on WaveSpeedAI
Access Mixtral 8x22b Instruct through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Frequently Asked Questions about Mixtral 8x22b Instruct
How much does Mixtral 8x22b Instruct cost via the API?+
Pricing on WaveSpeedAI: $2.00 per million input tokens and $6.00 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
What is the context window of Mixtral 8x22b Instruct?+
Mixtral 8x22b Instruct supports up to 66K tokens of context with up to 4K tokens of output per request.
Is Mixtral 8x22b Instruct OpenAI-compatible?+
Yes. WaveSpeedAI exposes Mixtral 8x22b Instruct through an OpenAI-compatible endpoint at https://llm.wavespeed.ai/v1. Point the official OpenAI SDK at this base URL with your WaveSpeedAI API key — no other code changes required.
How do I get started with Mixtral 8x22b Instruct?+
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with model id set to the value shown above. New accounts receive free credits to evaluate Mixtral 8x22b Instruct before paying per token.