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,...
定價
按用量付費
無需預付費用，僅按實際使用量付費
試用模型
API 使用
使用以下程式碼範例整合我們的 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)模型介紹
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
資訊
支援功能
API 存取指南
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,...
輸入
$2 /M
輸出
$6 /M
上下文
66K
最大輸出
4K
工具調用
支援
在 WaveSpeedAI 試用 Mixtral 8x22b Instruct
透過我們的統一 API 接入 Mixtral 8x22b Instruct — 相容 OpenAI、無冷啟動、透明計費。
關於 Mixtral 8x22b Instruct 的常見問題
Mixtral 8x22b Instruct API 多少錢?+
WaveSpeedAI 定價:輸入每百萬 token $2.00,輸出每百萬 token $6.00。Prompt 快取與批次處理分別計費,可顯著降低長上下文、高重複任務的實際成本。
Mixtral 8x22b Instruct 的上下文視窗有多大?+
Mixtral 8x22b Instruct 每次請求最多支援 66K 上下文 token,輸出最多 4K token。
Mixtral 8x22b Instruct 是否相容 OpenAI?+
是的。WaveSpeedAI 透過 https://llm.wavespeed.ai/v1 的 OpenAI 相容端點提供 Mixtral 8x22b Instruct。將官方 OpenAI SDK 的 base URL 指向該位址,使用 WaveSpeedAI 的 API Key 即可,無需其他程式碼變更。
如何開始使用 Mixtral 8x22b Instruct?+
登入 WaveSpeedAI,在 Access Keys 建立 API Key,使用上方顯示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 發送請求。新帳號將獲得免費額度,用於試用 Mixtral 8x22b Instruct。