Free plan with practically unlimited tokens for your autonomous agents. No credit card surprises, just pure execution.
No GPU. No local setup. No token-cost babysitting.
500K tokens/month on Coder-Next + Nano. Unlimited on all paid plans.
You already run OpenClaw. You don't want to manage your own GPU or get surprise API bills. Qlaw gives you a private, flat-rate endpoint that plugs directly into your OpenClaw config — no setup, no metering anxiety, no data leaving your control.
Two GPU models on NVIDIA L40S for paid tiers. Two CPU models on Power-class servers for free and all paid tiers. Every OpenClaw config slot filled — no gaps, no workarounds.
One API key. Point it at OpenClaw's provider config. The orchestrator goes in your primary model slot. Vision goes in imageModel. Takes under two minutes.
Send a quick prompt to Qlaw Coder-Next — our 80B coding model. No sign-up required. Sign up free for Coder-Next + Nano — or upgrade for all 4 models.
When we identify a better model for any Qlaw role, paid subscribers vote in their dashboard. The community decides the upgrade path. No surprises, no arbitrary changes. Your OpenClaw config never needs to change — the model names stay the same. Only the hardware behind them improves.
It powers your primary OpenClaw agent — the one that plans, reasons, calls tools, and runs sub-agents. It maps directly to OpenClaw's orchestrator config slot with thinking mode for complex tasks and fast direct mode for simple ones.
A dedicated multimodal model that plugs into OpenClaw's imageModel config field. It reads screenshots, analyzes PDFs, and interprets browser views — automatically routed by OpenClaw, no extra setup needed. Included in Power and Team tiers.
Paid subscribers vote on upgrades in their dashboard before any change happens. Your API key, endpoint URLs, and OpenClaw config never change. The upgrade improves what the model can do — your setup stays identical.
You can. But the most popular self-hosted models either lack tool calling (which breaks OpenClaw entirely) or lack vision support. We've done the selection, validation, and hosting so you don't have to. At flat-rate pricing, running agents overnight costs the same as running them for five minutes.
Standard tokenization — approximately 750 English words per 1,000 tokens. A typical OpenClaw session with a moderately complex agent task runs 5,000–15,000 tokens. Two million tokens is a substantial monthly budget for most users.
We're active in the OpenClaw community. Drop into #marketplace and say hi, ask questions before you subscribe, or just lurk until you're ready. Early subscribers get a special 🦞 Claw Member role.
Flat-rate monthly billing. No per-token anxiety. Run your agents all day, all night — your bill doesn't change. Tokens reset monthly on your signup date.
Tokens reset monthly on your signup date. No rollover, no surprise charges, no per-message fees. All plans include: OpenAI-compatible API, zero data logging, dedicated L40S GPU. Cancel anytime.