mistralai/mistral-small-3.2-24b-instruct
發布時間: 2025-06-21
128,000 context · $0.07/M input tokens · $0.20/M output tokens
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
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/mistral-small-3.2-24b-instruct",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)模型介紹
Mistralai mistral-small-3.2-24b-instruct
mistralai mistral-small-3.2-24b-instruct
Why It Looks Great
- Large Language Model architecture for efficient processing
- 131072 context window for long document handling
- Competitive pricing at $0.1/$0.2 per million tokens
Key Features
- Context Window: 131072 tokens
- Max Output: 131072 tokens
- Vision: Supported
- Function Calling: Supported
Specifications
| Specification | Value |
|---|---|
| Provider | Mistralai |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 131072 tokens |
| Max Output | 131072 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
Pricing
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.1 |
| Output | $0.2 |
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/mistral-small-3.2-24b-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/mistral-small-3.2-24b-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/mistral-small-3.2-24b-instruct",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: mistralai/mistral-small-3.2-24b-instruct
- Provider: Mistralai
資訊
支援功能
API 存取指南
Mistral Small 3.2 24b Instruct API
mistralai/mistral-small-3.2-24b-instruct
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
輸入
$0.075 /M
輸出
$0.2 /M
上下文
128K
最大輸出
131K
Vision
支援
工具調用
支援
在 WaveSpeedAI 試用 Mistral Small 3.2 24b Instruct
透過我們的統一 API 接入 Mistral Small 3.2 24b Instruct — 相容 OpenAI、無冷啟動、透明計費。
關於 Mistral Small 3.2 24b Instruct 的常見問題
Mistral Small 3.2 24b Instruct API 多少錢?+
WaveSpeedAI 定價:輸入每百萬 token $0.07,輸出每百萬 token $0.20。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。
Mistral Small 3.2 24b Instruct 的上下文視窗有多大?+
Mistral Small 3.2 24b Instruct 每次請求最多支援 128K 上下文 token,輸出最多 131K token。
Mistral Small 3.2 24b Instruct 是否相容 OpenAI?+
是的。WaveSpeedAI 透過 https://llm.wavespeed.ai/v1 的 OpenAI 相容端點提供 Mistral Small 3.2 24b 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 Mistral Small 3.2 24b 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 Mistral Small 3.2 24b Instruct。