An unlimited LLM API charges a flat monthly price for AI compute instead of billing per token — no usage limits, no per-minute rate caps, no surprise bills. It exists because always-on AI agents broke per-token pricing: an agent that resends its context every step can burn hundreds of dollars a month on a meter, or run on a fixed price from $39/mo without one. That is the model Standard Compute runs on.
Run your own numbers with live model prices in the LLM cost calculator, or see honest provider comparisons.
Base URL = https://api.stdcmpt.com/v1 API key = your Standard Compute key (free tier, no card) Model = standardcompute
Works in every agent with a custom OpenAI-compatible provider — OpenClaw and Hermes Agent (paste-in guides), OpenCode, Cline, Roo Code, Aider, Codex CLI, Cursor and more. Step-by-step guides: /integrations.
Flat-rate providers like Standard Compute charge a fixed monthly price instead of per token. Plans include a fixed monthly compute budget — from $39/mo — with no per-token meter and none of the 5-hour or weekly windows most flat plans impose. Smart routing draws on the full model landscape, so you reach frontier quality. Requests are not slowed based on how much of your budget you have used — they run normally until your monthly budget is reached; optional pacing can spread it across the month instead.
Two honest trade-offs, both by design. First, smart routing picks the model per request rather than pinning one version — so you're never stuck on a deprecated model. Second, 'unlimited' here means no per-token meter, not infinite usage: plans carry a fixed monthly compute budget, and requests run normally until it is reached — no slowdown based on how much you have used, and no surprise charges, so you always know exactly how much you have spent and how much you have left. If you need hard real-time latency guarantees, per-token providers fit better.
Roughly when your monthly per-token bill exceeds the flat plan price. Always-on agents cross that line fast: they resend large context every step, so input tokens dominate and a 24/7 agent commonly burns $100–500/month per-token. Light or bursty usage (a few million tokens a month) is genuinely cheaper per-token.
Flat-rate APIs that are OpenAI-compatible drop into any agent that accepts a custom base URL: set base URL to https://api.stdcmpt.com/v1, paste your API key, set model to standardcompute. OpenClaw, Hermes Agent, OpenCode, Cline, Aider, Codex CLI, Cursor and most other agents support this — setup guides for each are on the integrations page.
No per-minute request caps means no 429s for bursting. That's the practical difference for agents: per-token providers must rate-limit (every request costs them money), while a flat-rate provider paces response speed under load instead — so agent loops keep running rather than erroring out.
Standard Compute routes across current frontier models (GPT-class, Claude-class, Gemini-class) and efficient open models, picking per request based on the task and load. You get frontier-quality output without managing a model menu, and the router — not a fixed version string — decides which model serves each request.
Free tier, no card. Plans from $39/mo.