An LLM aggregator that fronts 400+ models from dozens of providers behind one OpenAI-compatible API, with routing and fallbacks.
Pricing: Pay-per-token at each model's provider rate, plus a fee when you buy credits. Costs scale linearly with usage.
OpenRouter is the best way to access many specific models through one API — if your usage is light or you need exact model control, stay there. Standard Compute is the alternative when the bill is the problem: unlimited frontier-model compute at a flat monthly price, same OpenAI-compatible integration, so heavy agent workloads stop scaling your costs.
Standard Compute is an OpenAI-compatible API with unlimited frontier-model compute at a flat monthly price (from $9/mo) — no per-token billing, no 429 rate limits. Under sustained heavy load it batches gracefully instead of erroring or charging more.
Standard Compute is OpenAI-compatible, so any tool or SDK that lets you set a custom base URL migrates in minutes:
Base URL = https://api.stdcmpt.com/v1 API key = your Standard Compute key Model = standardcompute
Setup guides for every major agent — OpenClaw, Hermes, OpenCode, Cursor, Cline, Aider and more — on the integrations page. Free tier to test it, no card required.
For heavy usage, dramatically — a 24/7 agent that costs $200–500/month per-token runs on a $9–99 flat plan. For light usage (a few million tokens/month), OpenRouter's per-token billing can be cheaper. The crossover is roughly where your monthly per-token bill passes your flat plan price.
Yes. Both are OpenAI-compatible: change the base URL to api.stdcmpt.com/v1, swap the API key, and set model to standardcompute. Everything else — SDKs, streaming, tool calls — works unchanged.
No — that's the main trade-off. Standard Compute auto-routes to a pool of frontier models instead of letting you pin one. If your workflow requires an exact model version, OpenRouter is the better fit.
Free tier, no card. Plans from $9/mo.