Your current usage
💸 Model alternatives — same category, lower price
⚡ Prompt caching savings
Both OpenAI and Anthropic cache repeated input tokens (system prompts, RAG context). Cached reads cost ~10-20% of uncached. Estimate based on your repeating % above.
📦 Batch API savings
OpenAI Batch API and Anthropic Message Batches offer 50% off for non-real-time work (results within 24h). Good for evals, data processing, bulk classification.
🏆 Top alternatives across all 387 models
All models that could handle similar tasks, ranked by monthly cost with your token volumes.
| Model | Provider | Category | Monthly cost | vs current |
|---|
How to use this analyzer
- Find your token usage — check your OpenAI/Anthropic dashboard under Usage. Monthly totals are shown in millions of tokens.
- Estimate repeating context % — if you send the same system prompt (100–2000 tokens) with every call, that's your cacheable fraction. 40% is typical for chatbots; 70%+ for RAG pipelines.
- Estimate batch-eligible % — offline jobs (evals, bulk tagging, data extraction) that don't need real-time response can use batch APIs at 50% off. Real-time user-facing calls can't.
- Compare models — don't just look at price. Quality degradation matters. Start with models in the same family (e.g. GPT-4o → GPT-4o mini) before jumping providers.