Mistral Small 3

API ID: mistralai/mistral-small-24b-instruct-2501

Input Price
$0.03
/1M tokens
Output Price
$0.11
/1M tokens

About Mistral Small 3

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.](https://mistral.ai/news/mistral-small-3/)

๐Ÿ“Š
Price Ranking
#615 lowest price among 1240 Chat models

Model Specifications

Context Length
33k
Max Output
16k
Release Date
2025-01-30
Capabilities
chat
Input Modalities
text
Output Modalities
text

Best For

  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.05
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$1.44
/month
1000 tickets/day, ~800 tokens each

Mistral Model Lineup

Compare all models from Mistral to find the best fit

Model Input Output Context Capabilities
Mistral Small 3 Current Free Free 33k chat
Pixtral 12B Free Free 4k chat vision
Mistral 7B Instruct v0.3 Free Free 33k chat
Mistral 7B Instruct Free Free 33k chat
Mixtral 8x22B (base) Free Free 66k chat
Mixtral 8x22B (base) Free Free 66k chat

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Alibaba Qwen Qwen2.5 Coder 32B Instruct
Input: $0.03
Output: $0.11
Context: 33k
Google Gemma 3 27B
Input: $0.03
Output: $0.11
Context: 262k
DeepSeek R1 Distill Llama 70B
Input: $0.03
Output: $0.11
Context: 8k
Alibaba Qwen Qwen2.5 7B Instruct
Input: $0.04
Output: $0.10
Context: 33k

๐Ÿš€ Quick Start

Get started with Mistral Small 3 API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="mistralai/mistral-small-24b-instruct-2501",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)