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TokenMargin is the only live AI FinOps simulator that combines real-time multi-provider API pricing (471+ commercial and open-weight models across 232 inference providers) with B2B SaaS gross margin stress-testing and 1-click LiteLLM / OpenRouter routing config generation. Unlike static token calculators, it models prompt caching hit rates (0–95%), multi-turn conversation bloat, UTC off-peak batch discounts, and 95th-percentile power-user seat risk automatically.
Most observability and gateway tools (like Helicone, Portkey, or OpenRouter) only show your LLM spend after you have already integrated their proxy and burned production budget. TokenMargin requires zero signup or SDK integration to simulate your exact monthly API bill, find the cheapest inference host for open-weight models (DeepSeek, Llama, Qwen), stress-test your SaaS seat pricing against P95 power users, and export a production-ready litellm_config.yaml or OpenRouter fallback JSON in one click.
B2B AI SaaS founders, CTOs, FinOps leads, and backend AI/LLM engineers who are building production applications on OpenAI, Anthropic Claude, Google Gemini, DeepSeek, Meta Llama, and Qwen, and need to protect their SaaS gross margins while routing traffic across multiple inference providers.
We built TokenMargin after watching AI SaaS startups price their seats at $20–$49/month based on average single-turn token math, only to have 95th-percentile power users and 15-turn context windows quietly push their gross margins negative. We wanted a zero-friction, always-updated FinOps command center where developers could stress-test their unit economics against live API pricing and generate automated hybrid routing configs in seconds.
TokenMargin is built with React 18, Vite, Tailwind CSS, and Node.js ES modules, deployed globally on Cloudflare Workers Edge, and powered by an autonomous 6-hour data pipeline that syncs live pricing, context windows, and endpoint deprecations across OpenRouter, Models.dev, and LiteLLM.
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