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Mistral AI
High-performance open-weight LLMs — efficient, multilingual, deployable anywhere.
0Free-Limited
LLM Platforms
Overview
Mistral AI builds efficient, open-weight language models including Mistral 7B, Mixtral 8x7B, and Mistral Large — available via API and for self-hosting.
Available Models
— may change as new versions release| Model | Context | Best For | Cost Tier |
|---|---|---|---|
| Mistral Large 2 | 128K | Complex reasoning, multilingual, function calling | High $$$ |
| Mistral Small 3 | 32K | Cost-efficient tasks, classification, extraction | Low $ |
| Codestral | 256K | Code generation, completion, fill-in-the-middle | Mid $$ |
| Mixtral 8x22B | 64K | High-capacity MoE, knowledge-intensive reasoning | Mid $$ |
| Mistral 7B | 32K | Self-hosted, fast inference, open-weight | Free |
Key Features
- Mistral 7B — best open model at its size class
- Mixtral 8x7B — mixture-of-experts for high throughput
- Mistral Large — frontier reasoning and coding
- Function calling and JSON mode
- Apache 2.0 licensed weights for commercial use
- Low-latency inference via La Plateforme API
Real-World Workflows
Self-host a production LLM cost-effectively
- 1Download Mistral 7B weights from HuggingFace
- 2Deploy with vLLM or Text Generation Inference
- 3Expose an OpenAI-compatible API endpoint
- 4Route traffic from your app to the self-hosted model
Getting Started
pip install mistralai
from mistralai import Mistral
client = Mistral(api_key='your-api-key')
response = client.chat.complete(
model='mistral-large-latest',
messages=[{'role': 'user', 'content': 'Explain transformers'}]
)
print(response.choices[0].message.content)Compare Alternatives
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