🟣 Mistral Models

Mistral AI offers some of the most efficient and powerful language models available, known for their excellent performance-to-size ratio and multilingual capabilities. Their models excel at reasoning, coding, and creative tasks.

🌟 Why Choose Mistral?

Mistral Advantages

📊 Available Models

Model	Parameters	Context Window	Best For	Pricing
Mistral Large	32B	32K tokens	Complex reasoning, enterprise	$7/1M input, $24/1M output
Mistral Medium	7B	32K tokens	General purpose, cost-effective	$2.5/1M input, $7.5/1M output
Mistral Small	7B	32K tokens	Fast inference, simple tasks	$0.14/1M input, $0.42/1M output
Mixtral 8x7B	47B	32K tokens	Open source, self-hostable	Free (self-host)

Source: Mistral AI Pricing

🚀 Getting Started

Option 1: Mistral AI Cloud (Recommended)

Step 1: Create Mistral AI Account

1. Visit Mistral AI Console
2. Sign up with your email
3. Verify your account
4. Complete profile setup

Step 2: Get API Key

1. Go to API Keys section
2. Click "Create new key"
3. Give it a descriptive name
4. Copy the key and store securely

Step 3: Configure in MCP for WP

1. Go to MCP for WP > Settings
2. Set Provider to "Mistral"
3. Enter your API key
4. Select default model (e.g., mistral-medium)
5. Click "Test Connection"
6. Save settings

Option 2: Self-Hosting Mixtral

Step 1: Install Ollama

bash

# macOS/Linux
curl -fsSL https://ollama.ai/install.sh | sh

# Windows
# Download from https://ollama.ai/download

Step 2: Pull Mixtral Model

bash

# Pull Mixtral 8x7B
ollama pull mixtral:8x7b

# Or Mixtral 8x7B Instruct
ollama pull mixtral:8x7b-instruct

Step 3: Start Ollama Server

bash

ollama serve

Step 4: Configure in MCP for WP

1. Set Provider to "Mistral"
2. Set API Endpoint: http://localhost:11434
3. Set Model: mixtral:8x7b-instruct
4. Test connection

⚙️ Model Configuration

Default Settings

json

{
  "model": "mistral-medium",
  "max_tokens": 2048,
  "temperature": 0.7,
  "top_p": 1.0,
  "random_seed": null
}

Parameter Guide

Model Selection

• mistral-large: Best for complex reasoning, enterprise use
• mistral-medium: Balanced performance and cost
• mistral-small: Fast, cost-effective for simple tasks
• mixtral:8x7b-instruct: Self-hosted option

Max Tokens

• Range: 1 to 32768 (varies by model)
• Recommendation: Start with 2048, adjust as needed

Temperature

• Range: 0.0 to 1.0
• 0.0: Deterministic
• 0.7: Balanced
• 1.0: Creative

Top P

• Range: 0.0 to 1.0
• 1.0: All tokens
• 0.9: Top 90% probability mass

Random Seed

• null: Random (default)
• Integer: Reproducible results

💰 Pricing & Usage

Mistral AI Cloud Pricing

Model	Input Cost	Output Cost	Free Tier
Mistral Large	$7/1M tokens	$24/1M tokens	$20 credit
Mistral Medium	$2.5/1M tokens	$7.5/1M tokens	$20 credit
Mistral Small	$0.14/1M tokens	$0.42/1M tokens	$20 credit

Self-Hosting Costs

Model	RAM Required	GPU Required	Monthly Cost
Mixtral 8x7B	48GB	Recommended	$0-200

Cost Optimization Tips

1. Use Mistral Small for simple tasks
2. Choose appropriate model for task complexity
3. Monitor token usage
4. Self-host for high-volume usage

🔧 Advanced Configuration

System Instructions

json

{
  "system_instruction": "You are a helpful assistant."
}

Function Calling

json

{
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "get_weather",
        "description": "Get weather information",
        "parameters": {
          "type": "object",
          "properties": {
            "location": { "type": "string" }
          }
        }
      }
    }
  ]
}

Streaming Responses

json

{
  "stream": true
}

🛠️ Use Cases & Examples

Complex Reasoning

Tool Configuration:

json

{
  "input_schema": {
    "type": "object",
    "properties": {
      "problem": { "type": "string", "description": "Complex problem to solve" },
      "approach": { "type": "string", "enum": ["step-by-step", "creative", "analytical"] }
    },
    "required": ["problem"]
  }
}

Recommended Settings:

• Model: mistral-large
• Temperature: 0.3
• Max Tokens: 4096

Multilingual Content

Tool Configuration:

json

{
  "input_schema": {
    "type": "object",
    "properties": {
      "text": { "type": "string", "description": "Text to process" },
      "source_language": { "type": "string", "description": "Source language" },
      "target_language": { "type": "string", "description": "Target language" },
      "task": { "type": "string", "enum": ["translate", "summarize", "analyze"] }
    },
    "required": ["text", "target_language"]
  }
}

Recommended Settings:

• Model: mistral-medium
• Temperature: 0.5
• Max Tokens: 2048

Code Generation

Tool Configuration:

json

{
  "input_schema": {
    "type": "object",
    "properties": {
      "language": { "type": "string", "description": "Programming language" },
      "task": { "type": "string", "description": "What to code" },
      "style": { "type": "string", "enum": ["clean", "commented", "optimized"] }
    },
    "required": ["language", "task"]
  }
}

Recommended Settings:

• Model: mistral-medium
• Temperature: 0.3
• Max Tokens: 2048

🔍 Troubleshooting

Common Issues

• API Key Invalid: Check Mistral AI console
• Rate Limit Exceeded: Check usage limits
• Model Not Available: Verify model name
• Connection Failed: Check network connectivity

Debugging Tips

1. Check API key in Mistral AI console
2. Monitor usage and billing
3. Review request logs in MCP for WP
4. Test with Mistral AI playground
5. Check quotas and limits

Performance Optimization

1. Choose appropriate model size
2. Optimize prompt length
3. Use streaming for long responses
4. Cache responses when possible

📚 Additional Resources

• Mistral AI Documentation
• Mistral AI Console
• Mixtral Model
• Ollama Mixtral
• API Reference

🔐 Security Best Practices

• Keep API keys secure
• Monitor usage for anomalies
• Use environment variables
• Implement rate limiting
• Regular security audits

📞 Support

• Mistral AI Support
• Mistral Community
• MCP for WP Docs

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Ready to get started? Configure your Mistral integration or explore other providers!