AI Price War Playbook — The Router, the Off-Peak Shift, and the Promo Cliff Calendar

Name: AI Price War Playbook — The Router, the Off-Peak Shift, and the Promo Cliff Calendar
Brand: Prompt Leadz
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100% FREE — Daily Drop for August 24, 2026On August 21, OpenAI cut GPT-5.6 Sol API pricing by more than 20%, to $4/$20 per million tokens. It follows Google launching Gemini 3.7 Flash at half price on August 13, and DeepSeek quietly moving to time-of-day billing on August 16 — peak hours now cost double. Three pricing moves in ten days is a price war, and the spread between competent models has hit 75x on output tokens.Most teams will react by doing nothing, keep routing everything through one frontier model, and eat a 25–50% cost jump when the promos expire in November and December. This playbook is the fix, and it takes an afternoon to apply.<h3>What's inside the full playbook</h3><ul><li>The August 2026 price map — all eight current rate cards in one table (Fable 5, Opus 5, Sol, Qwen3.8-Max, DeepSeek V4 Pro/Flash peak and off-peak, Gemini 3.7 Flash), with the trap noted on each row</li><li>The cost-per-task router — a four-tier framework that sorts every workload by the math labs don't advertise, with a worked example showing the same agent run costing $1.00 on one model and $0.055 on another</li><li>The off-peak shift — DeepSeek's exact peak windows in UTC, the cron pattern that halves your batch bill, and the US East coast timing trap</li><li>The promo cliff calendar — the two dates that belong in your budget file and how to keep promotional pricing out of your forecasts and client SOWs</li><li>The LLM cost audit prompt — a complete, paste-ready auditor prompt (shown in full below)</li><li>The model-switch checklist — six gates a migration has to pass before it counts as done, including the golden-set eval and the rollback trigger</li><li>Six failure modes and the exact fix — anchoring on promo pricing, per-token vs per-task comparison, switching without evals, batch at peak, ignoring cache rates, self-hosting for pride</li></ul><h3>One sample, shown in full</h3>This is the audit prompt from the kit, exactly as it appears there. Judge the depth for yourself:<pre>You are an LLM cost auditor. Your job is to find the cheapest model mix that meets my quality bar, using only the data I give you. Do not invent usage numbers, do not assume workloads I have not listed, and flag any place where my data is too thin to support a recommendation. Input: I will provide (1) a list or export of my LLM workloads with, where known, monthly call volume, average input tokens, average output tokens, current model, and whether the task is interactive or batch; (2) the price table I am working from. Method: For each workload, compute current monthly cost as (input tokens x input rate + output tokens x output rate) x volume / 1,000,000. Then classify it into one of four tiers: frontier-required (multi-step reasoning where errors are expensive), strong-but-standard (summarization, extraction, routine codegen), bulk-batch (classification, tagging, evals at volume), or latency-critical (user-facing, speed first). Propose the cheapest model per tier from my price table, compute the new monthly cost, and show the delta. For batch workloads on time-of-day billing, assume off-peak rates and say so. Boundaries: Never recommend switching a frontier-required workload down on cost alone; instead specify the eval I should run first (golden set size, pass threshold). If two models are within 15% on cost, prefer the one I already use, because migration has its own cost. Definition of done: A table with one row per workload showing current model, current monthly cost, proposed model, proposed monthly cost, savings, and a risk note. Below the table, the three largest savings opportunities ranked, each with the single next action required to capture it. If total projected savings are under 10%, say plainly that switching is not worth the effort this quarter. Escalation: If my usage data lacks token counts, stop and give me the exact export or logging step I need to get them before you estimate anything.</pre>Every section in the full playbook is built to that standard.How it works: Add to cart, check out ($0.00 — no card needed), and your order confirmation email contains your access link to the full kit.If the drops save you real money, <a href="/products/support-prompt-leadz">you can fuel the daily drops here</a>.