Multi-Provider AI

Why choose one AI when you can have them all? Somara connects you to the world's leading AI models.

OpenAI

• GPT-4 - Flagship model, excellent reasoning
• GPT-4 Turbo - Faster, more cost-effective
• GPT-4o - Latest multimodal model
• GPT-3.5 Turbo - Fast, economical

Anthropic

• Claude 3 Opus - Most capable, best for complex tasks
• Claude 3 Sonnet - Balanced performance/cost
• Claude 3 Haiku - Fast, affordable

Google

• Gemini 1.5 Pro - Strong multimodal capabilities
• Gemini 1.5 Flash - Faster, cost-effective

Groq

• Llama 3.1 - Ultra-fast inference
• Mixtral - Open source, fast

For Complex Reasoning

• GPT-4 or Claude 3 Opus
• Best for: analysis, strategy, difficult problems

For Writing & Content

• Claude 3 Opus or Claude 3 Sonnet
• Best for: long-form content, nuanced writing

For Coding

• GPT-4 or Claude 3 Opus
• Best for: code generation, debugging, review

For Speed

• GPT-4 Turbo or Groq models
• Best for: real-time applications, high volume

For Cost Optimization

• GPT-3.5 Turbo or Claude 3 Haiku
• Best for: simple tasks, high volume

1. Go to Assistants
2. Edit or create an assistant
3. In Model Settings, select the model
4. Adjust temperature and max tokens
5. Save changes

For maximum control, use your own API keys:

Step 1: Get Your API Key

From the provider's dashboard:

• OpenAI: platform.openai.com/api-keys
• Anthropic: console.anthropic.com
• Google: aistudio.google.com

Step 2: Add to Somara

1. Go to Organization Settings
2. Click API Configuration
3. Enter your API key for each provider
4. Save settings

Step 3: Use Your Keys

When creating assistants, models using your keys will be available.

Accuracy

Claude 3 Opus ≈ GPT-4 > Claude 3 Sonnet > GPT-4 Turbo

Speed

Groq > GPT-4 Turbo > Claude 3 Sonnet > GPT-4 > Claude 3 Opus

Cost (relative)

GPT-3.5 < Claude 3 Haiku < Claude 3 Sonnet < GPT-4 Turbo < GPT-4 < Claude 3 Opus

Context Window

Gemini 1.5 Pro (1M) > Claude 3 (200K) > GPT-4 (128K)

1. Match Model to Task

Don't use Opus for simple tasks. Don't use Haiku for complex analysis.

2. Test Multiple Models

Same prompt, different models. Find what works best.

3. Consider Latency

Real-time apps need fast models. Batch processing can use slower, more capable models.

4. Monitor Costs

Check usage analytics to optimize model selection.

5. Have a Fallback

If one provider has issues, switch to another.