AI Inference Cost vs Prompt Quality 2027 Calculator
AI inference cost 2027: top-tier models (GPT-4, Claude Opus 4) cost 10-50x cheaper models (Mistral 7B, Llama). Tradeoff: quality scoring drops 5-30%. Calculate cost per user × quality threshold to find economic sweet spot. Many SaaS use Claude Haiku/GPT-3.5 for 80% of queries + premium model for hard ones.
Model Cost Tiers 2027
Top tier (Claude Opus 4, GPT-4o, Gemini 1.5 Pro): $15-30/1M output. Mid (Claude Sonnet 4.5, GPT-4 mini): $1-5. Cheap (Haiku, GPT-3.5, Mistral 7B): $0.20-1.00.
Routing Strategy
Use classifier (cheap model) to route. Simple queries to Haiku — 5-10% accuracy loss vs Opus. Complex → premium. Saves 60-80% inference cost in production.
Token Optimization
Prompt compression (50% reduction common). RAG retrieval shrinks context. Streaming responses don't reduce cost but improve UX.
Source and Disclaimer
Anthropic, OpenAI, Google pricing pages May 2026. Pricing may shift quarterly — verify before annual budget planning.
Source: anthropic.com pricing, openai.com pricing, ai.google.dev pricing. Last updated: May 2026.