LLM agent cost in production 2026: $0.40 for an 8-step loop
LLM agent costs in production 2026: three workload models with token math and USD totals per 1,000 runs, from a 3-call support bot to an 8-step coding loop.
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LLM agent costs in production 2026: three workload models with token math and USD totals per 1,000 runs, from a 3-call support bot to an 8-step coding loop.
Per-feature LLM cost math for 2026: four workload patterns with token budgets, caching discounts, and total USD per 1,000 requests across model tiers.
Work backward from your margin target to a token budget: break-even math for AI features in 2026, with three concrete worked examples in USD.
Four LLMs, six French translation tasks tested by a judge: idioms, false cognates, literary register. Claude leads overall. Gemini 2.5 Flash is the value pick.
Prompt caching and the batch API cut a real Claude API bill from $797 to $127/month in 2026. Full worked example with exact token counts and 2026 pricing.
Four production patterns for LLM rate limits: jitter, token pre-checks, circuit breakers, and provider failover. Backoff alone won't save you in 2026.
Eight free LLMs worth actually using in 2026 — ranked by quality ceiling, real rate limits, and the exact point each stops being enough.
Prompt caching cuts LLM costs 90% on Anthropic and 50% on OpenAI, but only when your workload fits. Here's the exact break-even math per provider.
RAG has 3 moving parts: ingestion, retrieval, and generation. Here's what each does, when RAG beats fine-tuning, and when to skip it entirely.
Your OpenAI bill isn't just input + output tokens. Thinking tokens, JSON retries, and prompt bloat quietly triple costs. Here's how to spot each one in your own app.
The context window is your LLM's working memory per call. What 128k tokens actually fits, why usable size is smaller than advertised, and how to check yours.