LangMart: Mistral: Ministral 8B
Model Overview
| Property | Value |
|---|---|
| Model ID | openrouter/mistralai/ministral-8b |
| Name | Mistral: Ministral 8B |
| Provider | mistralai |
| Released | 2024-10-17 |
Description
Ministral 8B is an 8B parameter model featuring a unique interleaved sliding-window attention pattern for faster, memory-efficient inference. Designed for edge use cases, it supports up to 128k context length and excels in knowledge and reasoning tasks. It outperforms peers in the sub-10B category, making it perfect for low-latency, privacy-first applications.
Description
LangMart: Mistral: Ministral 8B is a language model provided by mistralai. This model offers advanced capabilities for natural language processing tasks.
Provider
mistralai
Specifications
| Spec | Value |
|---|---|
| Context Window | 131,072 tokens |
| Modalities | text->text |
| Input Modalities | text |
| Output Modalities | text |
Pricing
| Type | Price |
|---|---|
| Input | $0.10 per 1M tokens |
| Output | $0.10 per 1M tokens |
Capabilities
- Frequency penalty
- Max tokens
- Presence penalty
- Response format
- Seed
- Stop
- Structured outputs
- Temperature
- Tool choice
- Tools
- Top p
Detailed Analysis
Ministral 8B (October 2024 release) is Mistral's advanced edge model with 8 billion parameters, featuring a unique interleaved sliding-window attention pattern for memory-efficient, fast inference on edge devices. This architectural innovation enables handling 128K context windows while maintaining inference speeds competitive with much smaller models. Ministral 8B represents the state-of-the-art in edge AI, excelling at knowledge-intensive tasks, complex reasoning, and sophisticated function calling while remaining deployable on high-end consumer hardware. The model demonstrates superior performance in local applications requiring both intelligence and responsiveness: offline translation with cultural context, advanced smart assistants with multi-turn conversations, autonomous systems needing real-time decision-making, and privacy-critical applications processing sensitive data locally. The 8B size strikes an optimal balance - significantly more capable than 3B models while still fitting in 16GB RAM. Ideal for professional edge deployments, research platforms, content creation tools, and applications where cloud latency or data privacy makes local inference mandatory.