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,...
Harga
Bayar sesuai pemakaian
Tanpa biaya di muka, bayar hanya sesuai penggunaan
Coba model
Penggunaan API
Gunakan contoh kode berikut untuk integrasi dengan API kami:
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)Pengenalan Model
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
Fitur yang Didukung
Panduan Akses API
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
Konteks
66K
Output Maks.
4K
Penggunaan Tool
Didukung
Coba Mixtral 8x22b Instruct di WaveSpeedAI
Akses Mixtral 8x22b Instruct melalui API terpadu kami — kompatibel dengan OpenAI, tanpa cold start, harga transparan.
Pertanyaan Umum tentang Mixtral 8x22b Instruct
Berapa biaya Mixtral 8x22b Instruct melalui API?+
Harga di WaveSpeedAI: $2.00 per juta token input dan $6.00 per juta token output. Prompt caching dan batch processing ditagih terpisah dan mengurangi biaya efektif pada beban kerja yang panjang dan berulang.
Berapa context window Mixtral 8x22b Instruct?+
Mixtral 8x22b Instruct mendukung hingga 66K token konteks dengan hingga 4K token output per permintaan.
Apakah Mixtral 8x22b Instruct kompatibel dengan OpenAI?+
Ya. WaveSpeedAI menyediakan Mixtral 8x22b Instruct melalui endpoint yang kompatibel dengan OpenAI di https://llm.wavespeed.ai/v1. Arahkan OpenAI SDK resmi ke base URL ini dengan API key WaveSpeedAI Anda — tanpa perubahan kode lainnya.
Bagaimana memulai dengan Mixtral 8x22b Instruct?+
Masuk ke WaveSpeedAI, buat API key di Access Keys, lalu kirim permintaan ke https://llm.wavespeed.ai/v1/chat/completions dengan model id seperti ditampilkan di atas. Akun baru menerima kredit gratis untuk menguji Mixtral 8x22b Instruct.