50% promotional credit
50% billing credit on Gemini 3.6 / 3.7 / 3.8 Flash
Current AI API pricing across OpenAI, Anthropic, Google and more — plus calculators for cost per request, user, agent and workload.
Fresh model launches and scheduled price changes, linked directly to cost details and calculators.
New successor to Fable 5.1 with lower base and cache-read pricing.
Efficient current-generation model with 1.05M context and 50% Batch/Flex rates.
Near-Astra performance at a lower standard token rate.
Introductory standard rates through Nov 30; published pricing doubles Dec 1.
One representative model from each provider, with current token pricing at a glance. Open a model for context rules and cost details.
Start from the business question you actually have: monthly bill, cost per user, cost per task, or whether a workload fits.
Estimate monthly API spend from input tokens, output tokens and request volume across major production models.
Calculate → Unit economicsCalculate LLM API cost per active user and compare it with your SaaS subscription price or product margin.
Calculate → Agent costEstimate AI agent running cost from task volume, multi-step model calls, retries and paid tool usage.
Calculate → RAG costEstimate retrieval-augmented generation cost including document embedding, retrieved context, generation and vector database spend.
Calculate → Chatbot costEstimate monthly chatbot API cost using conversation length, history, system prompts and reply size.
Calculate → CachingEstimate how much prompt caching can reduce repeated input-token costs for supported AI models.
Calculate → Batch processingCompare standard LLM processing cost with a configurable batch-processing discount for asynchronous workloads.
Calculate → Context planningEstimate prompt tokens and check whether text plus reserved output fits current model context windows.
Calculate → Traffic planningCalculate what 1,000 AI API calls cost for a chosen model and average input/output size.
Calculate → Model comparisonCompare modeled monthly API cost across major AI providers and production models using the same workload assumptions.
Calculate →4 listed offers with official source links. Check eligibility and terms. Not sponsored.
50% billing credit on Gemini 3.6 / 3.7 / 3.8 Flash
Google for Startups AI cloud credits
OpenAI startup API credits
Anthropic Startup Program
A provider's dollars-per-million-tokens table tells you almost nothing about what a feature will cost at production traffic. A real estimate needs a workload shape: how many requests, how much context, how much output and how often.
TokenCOGS converts those moving parts into units product teams can reason about: cost per request, per user, per conversation, per task, per month and per year.
Pricing is synchronized from primary provider pages where supported, with a verified fallback snapshot if the live registry is unavailable. Every result is an estimate and should be verified before procurement or production budgeting.