What AI tools and APIs cost, free tiers, credits, rate limits and token-saving tactics. Anything whose main question is "how much" or "what are the limits".
Panda Code is free and runs on your existing Claude, Codex, Kimi or GLM plans. See how it tracks 5-hour and weekly limits, resumes at reset and trims tokens.
Mercury 3 costs $0.10 input and $0.35 output per million tokens at launch, with 90% off cached input. See where to access it and which workloads fit.
Compare cloud AI API pricing with self-hosting a local LLM. See GPU rental rates, hidden staffing costs, and the monthly token volume where self-hosting wins.
Compare AI API pricing per task with per-seat SaaS subscriptions for internal tools, with code review cost math, break-even points, and SaaS waste data.
Enterprise SaaS spend rose 8% to $55.7M on average even as AI speeds up work. See how vendors recapture savings and what to check before renewal.
Learn how to set hard, pre-call spend caps on AI APIs, provider by provider, plus loop guards and rate limits that stop a runaway agent's bill.
Codex Ultrafast requires the $500 Pro plan and burns allowance at 6-8x the standard rate. See the cost math against Claude Sonnet 5.5, Claude Max and DeepSeek.
Compare the total cost of self-hosting open-weight LLMs vs. ChatGPT Enterprise and Microsoft Copilot, with per-seat pricing, break-even points, and hidden costs.
Learn how to cut LLM API costs with prompt caching, batching, model routing, context trimming, and self-hosting, plus the pricing math behind each method.
Compare AI coding agent token costs with flat IDE subscriptions like Cursor and Copilot, including real budget data from Uber, DX, and Vantage.
Build a self-hosted AI router with LiteLLM, open-weight models, and a vector database. Includes AT&T's 56% cost cut, setup steps, and per-seat cost comparison.
Compare a $1,000-$2,500 local AI rig with ChatGPT Plus or Claude Pro: break-even in 11-24 months, electricity costs, and open-model quality tradeoffs.
Learn how local vector databases, AST indexes, and semantic tool routers can cut LLM token spend 40-90% by sending only the context each query needs.
AI agents cost $3,200 to $13,000 a month in production. See how sandboxes, identity, observability, and retries add to token spend, with real pricing.
Compare local AI vs. API costs with real break-even math: GPU amortization, electricity, ops labor and per-token pricing, from 0.3 to 69 months.
Compare local LLM vs API cost with real numbers: break-even periods by model size, hardware TCO, utilization thresholds, and when owning GPUs beats renting tokens.
Model size and compute effort are separate AI pricing dials. Learn the difference and how to cut API spend without losing capability.
Compare OpenAI API pricing with a $2,000 local GPU for agentic workloads. See break-even times, token costs, and when renting beats owning.
AI vendors need trillions in new revenue, so agent pricing is shifting from flat seats to metered billing you can't forecast. Here's why that's a bad bet.
Meta's Muse quietly used an OpenAI model on Azure. Here's what that reveals about the hidden markups stacked into every AI-native SaaS subscription.
AI coding agents can cost $13 a day or $31,000 a month. Here's the token math behind runaway bills and the controls that keep spend predictable.
Cursor, Claude Code, and Copilot all rationed power users in 2025-2026. Here's why self-hosted open-weight coding models are the real alternative.
Local inference now beats cloud API billing by 4x to 20x at scale. Here's the 2026 cost model, the coding-agent case study, and when APIs still win.
Employee-built AI automations can spike your API bill fast. Here are the trigger, budget, and caching fixes that cut AI API usage costs 70-90%.