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Token Management & Model Optimization Research

Token Management Strategy Research

Initial Findings

OpenRouter Free Tier

Google AI Studio (Gemini)

  • Free tier available
  • Limits: 60 requests/minute, 300K tokens/day
  • No credit card required
  • Every API key gets these limits

Research Questions

  1. Which providers offer free or low-cost tiers?
  2. What are the rate limits and quotas?
  3. Which models are best for which use cases?
  4. How to optimize context windows?
  5. What is the cost per token breakdown?

To Research Further

Provider Free Tier Paid Tier Best For
Google Gemini 300K tokens/day Pay per use? General, coding
OpenRouter Varies by model Per-request Routing, variety
OpenAI ? ? GPT-4 quality
Anthropic ? ? Claude capabilities
Mistral ? ? Open weights
Local Hardware cost Free Privacy, control

Token Optimization Strategies to Explore

  1. Tiered Model Usage

    • Simple tasks: Fast/cheap models
    • Complex tasks: Stronger models
    • Fallback: Lower tier if higher fails
  2. Context Compression

    • Summarize long contexts
    • Use RAG instead of full context
    • Prune old conversation
  3. Caching

    • Cache common responses
    • Reuse embeddings
    • Batch requests
  4. Hybrid Approach

    • Local models for simple queries
    • Cloud APIs for complex tasks
    • Manual review for critical outputs

X Account Access

Pending: X account access via Google login Blocker: Requires OTP from user per security rule (SOUL.md) Action needed: User provides OTP, I complete OAuth, access bookmarks