1.9 KiB
1.9 KiB
Token Management & Model Optimization Research
Token Management Strategy Research
Initial Findings
OpenRouter Free Tier
- URL: https://openrouter.ai/collections/free-models
- Providers moving from free to paid-only models
- Belief: "Free models play crucial role in democratizing access"
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
- Which providers offer free or low-cost tiers?
- What are the rate limits and quotas?
- Which models are best for which use cases?
- How to optimize context windows?
- 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
-
Tiered Model Usage
- Simple tasks: Fast/cheap models
- Complex tasks: Stronger models
- Fallback: Lower tier if higher fails
-
Context Compression
- Summarize long contexts
- Use RAG instead of full context
- Prune old conversation
-
Caching
- Cache common responses
- Reuse embeddings
- Batch requests
-
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