mistralai/mistral-small-3.2-24b-instruct
发布时间: 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...
定价
按量付费
无需预付费用，仅按实际使用量付费
试用模型
API 使用
使用以下代码示例接入我们的 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)模型介绍
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
信息
支持功能
API 访问指南
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...
输入
$0.075 /M
输出
$0.2 /M
上下文
128K
最大输出
131K
Vision
支持
工具调用
支持
在 WaveSpeedAI 试用 Mistral Small 3.2 24b Instruct
通过我们的统一 API 接入 Mistral Small 3.2 24b Instruct — 兼容 OpenAI、无冷启动、透明计费。
关于 Mistral Small 3.2 24b Instruct 的常见问题
Mistral Small 3.2 24b Instruct API 多少钱?+
WaveSpeedAI 定价:输入每百万 token $0.07,输出每百万 token $0.20。Prompt 缓存和批处理单独计费,可显著降低长上下文、高重复任务的实际成本。
Mistral Small 3.2 24b Instruct 的上下文窗口是多大?+
Mistral Small 3.2 24b Instruct 单次请求最多支持 128K 上下文 token,输出最多 131K token。
Mistral Small 3.2 24b Instruct 是否兼容 OpenAI?+
是的。WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容端点提供 Mistral Small 3.2 24b Instruct。把官方 OpenAI SDK 的 base URL 指向该地址,使用 WaveSpeedAI 的 API Key 即可,无需任何其他代码改动。
如何开始使用 Mistral Small 3.2 24b Instruct?+
登录 WaveSpeedAI,在 Access Keys 中生成 API Key,使用上方显示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 发送请求。新账户可获得免费额度,用于试用 Mistral Small 3.2 24b Instruct。