Mistral Small 24b Instruct 2501 | Mistral AI LLM API

Name: Mistral Small 24b Instruct 2501 API
Brand: mistralai
Price: 0.05 USD
Availability: InStock

API 사용법

다음 코드 예시를 사용해 API와 연동하세요:

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-24b-instruct-2501",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

print(response.choices[0].message.content)

모델 소개

Mistralai mistral-small-24b-instruct-2501

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed for efficient local deployment.

The model achieves 81% accuracy on the MMLU benchmark and performs competitively with larger models like Llama 3.3 70B and Qwen 32B, while operating at three times the speed on equivalent hardware. Read the blog post about the model here.

Why It Looks Great

Large Language Model architecture for efficient processing
32768 context window for long document handling
Competitive pricing at $0.0/$0.1 per million tokens

Key Features

Context Window: 32768 tokens
Max Output: 16384 tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Mistralai
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	32768 tokens
Max Output	16384 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$0.0
Output	$0.1

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-24b-instruct-2501

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-24b-instruct-2501",
    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-24b-instruct-2501",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: mistralai/mistral-small-24b-instruct-2501
Provider: Mistralai

Mistral Small 24b Instruct 2501에 대해 자주 묻는 질문

Mistral Small 24b Instruct 2501 API 비용은 얼마인가요?+

WaveSpeedAI 가격: 입력 토큰 100만 개당 $0.05, 출력 토큰 100만 개당 $0.08. 프롬프트 캐싱과 배치 처리는 별도로 청구되며 긴 반복 작업에서 실질 비용을 줄여 줍니다.

Mistral Small 24b Instruct 2501의 컨텍스트 윈도우는 얼마나 되나요?+

Mistral Small 24b Instruct 2501은 요청당 최대 33K 컨텍스트 토큰과 최대 16K 출력 토큰을 지원합니다.

Mistral Small 24b Instruct 2501은 OpenAI 호환인가요?+

네. WaveSpeedAI는 OpenAI 호환 엔드포인트 https://llm.wavespeed.ai/v1을 통해 Mistral Small 24b Instruct 2501을 제공합니다. 공식 OpenAI SDK의 base URL을 이 주소로 변경하고 WaveSpeedAI API 키를 사용하면 코드 변경 없이 사용할 수 있습니다.

Mistral Small 24b Instruct 2501을 어떻게 시작하나요?+

WaveSpeedAI에 로그인하고 Access Keys에서 API 키를 만든 다음, 위에 표시된 모델 ID로 https://llm.wavespeed.ai/v1/chat/completions에 요청을 보내세요. 신규 계정은 Mistral Small 24b Instruct 2501을 평가할 수 있는 무료 크레딧을 받습니다.

가격

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