Mistral AI: European Open-Source LLM for Enterprises

Mistral AI was founded in Paris in 2023 and has quickly established itself as a leading European provider of language models. Their open-source models offer an alternative to US providers and can be self-hosted – ideal for organizations with strict data protection requirements.

Mistral Model Variants

• Mistral Large: Most powerful model, comparable to GPT-4. Available via API.
• Mistral Medium: Balance of performance and cost.
• Mistral Small: Fast, cost-effective model for simple tasks.
• Mistral 7B: Open-source model that can be self-hosted.
• Mixtral 8x7B: Open-source Mixture-of-Experts model with 8 expert networks.

Advantages of Mistral

• European Provider: Headquartered in France, EU legal framework
• Open Source: Models can be self-hosted (no external API required)
• GDPR-Friendly: With self-hosting, all data stays internal
• Cost-Effective: No API costs with own infrastructure
• Strong Performance: Mistral 7B outperforms many larger models

When to Choose Mistral over GPT-4 or Claude?

• Self-hosting required: Data must not leave the organization
• High volumes: Own GPU infrastructure may be cheaper than API costs
• EU preference: European provider preferred
• Full control: Model fine-tuning or customizations required

Self-Hosting Requirements

Running Mistral models requires GPU infrastructure:

• Mistral 7B: 1x NVIDIA A100 40GB or equivalent
• Mixtral 8x7B: Multiple A100 GPUs or 1x H100
• Cloud options: AWS, Azure, GCP with GPU instances
• On-premise: Own GPU servers possible

Elasticbrains Usage

We use Mistral in specific scenarios:

• GDPR-critical projects: When no external APIs may be used
• Cost optimization: At very high volumes as an alternative to API models
• Multi-provider fallback: As a European alternative in the provider mix

Accessing Mistral

• Mistral API: Hosted API from Mistral (api.mistral.ai)
• Hugging Face: Open-source models for download
• Azure AI: Mistral models available via Azure
• AWS Bedrock: Mistral integration announced
• Self-hosting: Own infrastructure with vLLM, TGI or other inference servers