Mistral Small is Mistral AI's efficiency-first model, purpose-built for high-volume applications where speed and cost per request matter more than peak reasoning depth. Despite its compact size, it delivers surprisingly capable text generation, classification, and summarization — making it a workhorse for pipelines that process thousands of requests per minute.
Small excels at well-defined, structured tasks like entity extraction, sentiment analysis, content moderation, and template-based generation. Its low latency and minimal compute footprint make it ideal for real-time applications and cost-sensitive production deployments.
Key Features
Ultra-fast inference with sub-100ms response times for simple tasks
128K token context window — large context at a small model price
Strong classification and extraction accuracy for structured tasks
Cost-effective at high volumes — ideal for batch processing pipelines
Reliable JSON mode for structured data extraction workflows
Ideal Use Cases
High-volume content moderation and classification at scale
Real-time entity extraction and named entity recognition
Template-based content generation for emails, notifications, and alerts
Sentiment analysis and customer feedback categorization
Technical Specifications
| Context Window | 128K tokens |
| Modality | Text → Text |
| Provider | Mistral |
| Category | Text Generation |
| Max Output | 8K tokens |
| Latency | Sub-100ms for short prompts |
| Best For | High-volume, cost-sensitive workloads |
API Usage
1 curl -X POST https://api.vincony.com/v1/chat/completions \ 2 -H "Authorization: Bearer YOUR_API_KEY" \ 3 -H "Content-Type: application/json" \ 4 -d '{ 5 "model": "mistral/small", 6 "messages": [ 7 { "role": "user", "content": "Hello, Mistral Small!" } 8 ] 9 }'
Replace YOUR_API_KEY with your Vincony API key. OpenAI-compatible endpoint — works with any OpenAI SDK.
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