Alexandria – Apr 6, 2026 – NVIDIA CEO Jensen Huang called OpenClaw “the most popular open-source project in history”, after the tool gathered 348,000 (!) GitHub stars just several months after the launch. As the chief innovation officer of Belitsoft, an international AI automation consulting and software development firm, I want to give executives a picture of what running it costs because the range is wide and early decisions are hard to undo.
What is OpenClaw
Peter Steinberger developed OpenClaw in November 2025 and initially named it Clawdbot.
OpenClaw is a free, open-source AI agent that can orchestrate subagents to execute your tasks. OpenClaw waits for your tasks but can also start them on its own once instructed. One of the exciting features of OpenClaw is that, to manage it, you can just send messages to it via WhatsApp, Telegram, Microsoft Teams, or even iMessage, among others.
Before using OpenClaw, you must, of course, configure it: install it on your computer or on a VPS, connect to an LLM (either cloud-based like Claude or ChatGPT, or local ones via Ollama), configure it via so-called “skills”, and connect it to tools necessary for your task completion – browsers, apps, file systems, or other software. (Note that you must give the agent permission to use each one).
OpenClaw Capabilities
OpenClaw can run multi-step actions across applications 24/7 without human input.
As a productivity tool, it can sort emails, organize local files, control smart home devices, and turn large amounts of web research into daily summaries. It can also browse the internet continuously, use complex interfaces, and collect data from external platforms.
In finance and trading, the agent can act as an automated bot for prediction markets and cryptocurrency. One example showed an agent connecting to Polymarket with a $100 stake, tracking real-time news and market changes, and making trades overnight on 15-minute Bitcoin markets to grow the initial amount to $347.
It can also be used for specific tasks. For travel, it tracks and books cheap last-minute flights. For job searching, it scans job boards, adjusts resumes for specific roles, and communicates with recruiters on platforms like LinkedIn. For legal tasks, it analyzes case details and prepares and sends responses to insurance companies.
Cost of running continuous OpenClaw agents via cloud APIs
The first surprise is usually the token bill. Agentic workflows in OpenClaw consume 20-30 times more tokens per interaction than standard chat. That’s how autonomous agents work. But it means cloud API costs scale in ways that catch finance teams off guard. User-reported bills include $200 in a single day from a loop bug. Market data puts the ranges at $23-$67 for low use, and $1,800-$3,600 for continuous pipelines.
Those numbers are not fixed. The question to ask your technical team is whether your OpenClaw deployment is designed around cost control or just deployed.
These costs are reducible. Techniques including model routing, prompt caching, prompt compression, output length control, and semantic caching can together produce returns of 5.5x or more on API spend. The question is whether the optimization toolbox was applied at build time.
No extra cost per use for local deployment
Local deployment removes per-token cost almost entirely. Running OpenClaw on dedicated server hardware eliminates API fees and per-request charges, You pay for electricity and hardware, nothing more. Research puts local inference quality at 70-85% of top cloud model performance on server hardware. The market is already changing. Spending on AI computers reached $82 billion in 2025, up 166% year over year.
For teams not ready to manage local infrastructure, lower-cost cloud providers such as DeepSeek offer cheaper inference than proprietary Western APIs.
The choice between cloud and local depends on usage volume, task complexity, data sensitivity, and expected workload duration. High-volume, revenue-generating deployments recover hardware costs quickly.
At Belitsoft, we help international enterprises make this decision correctly from the start, covering architecture design, model selection, cost optimization, and ongoing management. The companies that get the most from OpenClaw are those who designed it to perform.
Dmitry Baraishuk is a Partner and Chief Innovation Officer at Belitsoft.

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Company Name: Belitsoft
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City: Alexandria
Country: United States
Website: https://belitsoft.com/
