---
title: "Mistral AI: Efficient LLM Inference with Mistral Small, Medium, and Large in Pixeltable"
date: "2025-09-05"
author: "Pixeltable Team"
tags:
  - Mistral AI
  - Mistral Small
  - Mixtral
  - Efficient LLM
  - AI Integration
  - Pixeltable
description: "Build cost-effective AI applications with Mistral AI's efficient models. Learn how to use Mistral Small, Medium, and Large with Pixeltable for production workloads that balance performance and cost."
url: "https://pixeltable.com/blog/mistral-ai-efficient-llm-pixeltable"
---

# Mistral AI: Efficient LLM Inference with Mistral Small, Medium, and Large in Pixeltable

Mistral AI has revolutionized efficient LLM inference with models that punch well above their weight class. Combined with Pixeltable, you can build production AI applications that deliver excellent results while keeping costs under control.

 
## Mistral AI: Efficiency Meets Performance

 
**Mistral AI**, the French AI company, has quickly established itself as a leader in efficient language models. Their models deliver strong performance at a fraction of the size and cost of competitors.

 
 
When combined with Pixeltable's [declarative infrastructure](/blog/unified-multimodal-ai-infrastructure-pixeltable), you get efficient inference with enterprise-grade orchestration.

 
## Available Models

 

 - **Mistral Small (Latest):** Cost-optimized for high-volume tasks

 - **Mistral Medium:** Balanced performance and cost

 - **Mistral Large:** Highest capability for complex reasoning

 - **Codestral:** Specialized for code generation

 

 
## Getting Started

 
```bash
# Install required packages
pip install pixeltable mistralai

# Set your Mistral AI API key
export MISTRAL_API_KEY="your-api-key-here"
```

 
## Basic Chat Completions

 
```python
import pixeltable as pxt
from pixeltable.functions.mistralai import chat_completions

pxt.drop_dir('mistral_demo', force=True)
pxt.create_dir('mistral_demo')

t = pxt.create_table('mistral_demo.chat', {'input': pxt.String})

messages = [{'role': 'user', 'content': t.input}]
t.add_computed_column(output=chat_completions(
 messages=messages,
 model='mistral-small-latest',
 model_kwargs={'max_tokens': 300, 'temperature': 0.7}
))

t.add_computed_column(response=t.output.choices[0].message.content)

t.insert([{'input': 'What fish have the highest mercury content?'}])
t.select(t.input, t.response).show()
```

 
## Code Generation with Codestral

 
```python
import pixeltable as pxt
from pixeltable.functions.mistralai import chat_completions
import pixeltable.functions as pxtf

code = pxt.create_table('mistral_demo.code', {
 'task': pxt.String,
 'language': pxt.String
})

code.add_computed_column(
 generated_code=chat_completions(
 messages=[{
 'role': 'user',
 'content': pxtf.string.format(
 'Write {} code to: {}. Include comments.',
 code.language,
 code.task
 )
 }],
 model='codestral-latest',
 model_kwargs={'max_tokens': 500, 'temperature': 0.1}
 ).choices[0].message.content
)

code.insert([
 {'task': 'implement a binary search algorithm', 'language': 'Python'},
 {'task': 'create a REST API endpoint', 'language': 'JavaScript'}
])

code.show()
```

 
## Pricing Comparison

 
| Model | Input (per 1M tokens) | Output (per 1M tokens) |
| --- | --- | --- |
| Mistral Small | $0.10 | $0.30 |
| Mistral Medium | $2.70 | $8.10 |
| Mistral Large | $3.00 | $9.00 |
| Codestral | $0.30 | $0.90 |

 
## European Advantage

 

 - **GDPR-native:** Based in France with EU-first approach

 - **EU Data Residency:** Data stays within European borders

 - **Sovereign AI:** European alternative to US/Chinese providers

 

 
## Next Steps

 

 - [Multi-Provider Strategy](/blog/multi-provider-ai-strategy-comparison-guide)

 - [Production RAG Guide](/blog/production-rag-data-centric)

 - [All Integrations](https://docs.pixeltable.com/integrations/frameworks)

 

 
## Resources

 

 - [Pixeltable Mistral AI Documentation](https://docs.pixeltable.com/howto/providers/working-with-mistralai)

 - [Mistral AI Documentation](https://docs.mistral.ai)

 - [Join our Discord Community](https://discord.com/invite/QPyqFYx2UN)