Why does “the cheapest” change from one scenario to the next?
Most people pick a model off a single “price per million tokens” list, but the real bill depends on how long your input and output actually are. On the same price sheet, long-doc summary (80k input, short output) and complex reasoning (short input, huge output) surface almost entirely different “cheapest” models.
This tool presets a typical token workload for each scenario, plugs it into every model's official input and output prices, and ranks per-call cost. So you don't fill in numbers — just pick a scenario.
- 💰 Best value: the lowest per-call cost that meets the scenario's hard requirements (context, modality, capability) — for high-volume and batch work. Usually a Chinese model in this data.
- 🏁 Top Chinese: the strongest qualifying Chinese flagship (DeepSeek / Qwen / GLM / Kimi, etc.) — strong Chinese, compliance-friendly, for when quality matters.
- 🌐 Top global: the strongest qualifying Western flagship (GPT / Claude / Gemini) — when the business mandates a Western vendor or you want the best.
Want it exact? Each scenario uses a “typical” workload; yours may differ. Paste your real text into the Token Cost Calculator for a precise figure, or see every spec in the LLM price comparison.