Looking for an alternative to Router9?

A flat-monthly LLM gateway for agent harnesses — one key across major models with per-harness budgets, audit logs and built-in multimodal skills. Flat price, but credit-metered: each plan grants a monthly credit quota.

Pricing: Free ($0, ~$5 of monthly credits, free-tier models), Pro ($29, ~$50 of credits, 60% rollover), Max ($59, ~$150 of credits, 80% rollover). Not to be confused with 9Router, a different product.

TL;DR

Pick Router9 if you run several agents and want per-harness budgets and multimodal skills under one predictable subscription — and your usage fits inside roughly $50–150 of monthly credits. Pick Standard Compute if your agent's actual burn exceeds the quota: flat plans without a credit meter are built for exactly that.

Where Router9 shines

•Predictable monthly bill with a genuinely nice rollover mechanic (bank up to 2x quota)
•Per-harness governance: separate keys, budgets and audit logs per agent — real differentiation for multi-agent setups
•Built-in multimodal skills over MCP (image generation, speech, vision) beyond text routing
•Free tier, and broad harness compatibility (OpenCode, OpenClaw, Hermes, Goose, Cursor)

Why people look for an alternative

•"Flat-rate" is credit-capped: Pro is ~$50 and Max ~$150 of monthly usage value — a heavy all-day agent can exhaust it
•Frontier-model tokens burn credits at frontier prices, so the effective ceiling on Claude/GPT-class work is much lower than the credit number suggests
•What happens at quota exhaustion isn't publicly documented — plan for a stop or a top-up

Standard Compute vs Router9

Standard Compute is an OpenAI-compatible API with frontier-model compute at a flat monthly price (from $39/mo) — no per-token billing, no rate-limit windows. Under extreme sustained load requests are paced smoothly instead of erroring or charging more.

Pick Standard Compute when…

•Agents whose real monthly token burn exceeds ~$150 of usage value — our plans meter pacing, not tokens
•Frontier-heavy workloads, where credit-denominated quotas drain fastest
•One agent running all day rather than many agents needing separate budgets

Stick with Router9 when…

•You run several harnesses and want per-agent budgets, audit logs and isolation — we don't offer per-agent budget governance
•You want built-in image/speech/vision skills in the same subscription
•Your usage genuinely fits inside the credit quota — then $29–59 is cheaper than our $39–89

Switching takes one config change

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.

FAQ

Aren't Router9 and Standard Compute the same idea?

They rhyme — both sell predictable monthly pricing for agent workloads. The mechanics differ: Router9 grants a monthly credit quota (usage value is capped, with rollover); Standard Compute has no token/credit meter — sustained heavy load is paced smoothly instead of counted down. Which is better depends on whether your usage fits the quota.

What about Router9's free tier?

It's a real free tier (~$5 of credits on free-tier models) and a fine way to test their product. Standard Compute's equivalent is the free starter credit new accounts get at activation — real requests on real models, no card.

The flat-rate alternative to Router9

Standard Compute

Current frontier models Claude Fable 5 · GPT-5.6 Sol