mistralai/mistral-small-3.2-24b-instruct
Data di rilascio: 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...
Prezzi
Pay-per-use
Nessun costo iniziale, paga solo per ciò che usi
Prova il modello
Utilizzo API
Usa i seguenti esempi di codice per integrare la nostra 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)Introduzione al modello
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
Info
Funzionalità supportate
Guida all'accesso API
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...
Input
$0.075 /M
Output
$0.2 /M
Contesto
128K
Output max
131K
Vision
Supportato
Uso strumenti
Supportato
Prova Mistral Small 3.2 24b Instruct su WaveSpeedAI
Accedi a Mistral Small 3.2 24b Instruct tramite la nostra API unificata — compatibile con OpenAI, senza cold start, prezzi trasparenti.
Domande frequenti su Mistral Small 3.2 24b Instruct
Quanto costa Mistral Small 3.2 24b Instruct via API?+
Prezzi su WaveSpeedAI: $0.07 per milione di token in input e $0.20 per milione di token in output. Prompt caching e batch processing sono fatturati separatamente e riducono il costo effettivo su carichi lunghi e ripetitivi.
Qual è la context window di Mistral Small 3.2 24b Instruct?+
Mistral Small 3.2 24b Instruct supporta fino a 128K token di contesto e fino a 131K token di output per richiesta.
Mistral Small 3.2 24b Instruct è compatibile con OpenAI?+
Sì. WaveSpeedAI espone Mistral Small 3.2 24b Instruct tramite un endpoint compatibile con OpenAI all'indirizzo https://llm.wavespeed.ai/v1. Punta l'SDK ufficiale di OpenAI a questa base URL con la tua API key WaveSpeedAI — senza altre modifiche al codice.
Come si inizia con Mistral Small 3.2 24b Instruct?+
Accedi a WaveSpeedAI, crea una API key in Access Keys, poi invia una richiesta a https://llm.wavespeed.ai/v1/chat/completions con il model id mostrato sopra. I nuovi account ricevono crediti gratuiti per testare Mistral Small 3.2 24b Instruct.