What AI models does the agent use?

The agent has access to Claude, DeepSeek, Gemini, and other top models. It automatically routes to the best model for each task — you never have to think about API keys or token limits.

Yes. Each agent runs in an isolated environment. We don't train on your data, and you can export or delete everything at any time. The underlying engine (GoGogot) is open-source, so you can audit exactly how it works.

What can the agent actually do?

Browse the web, process files (CSV, PDF, images), run scheduled tasks, remember context across sessions, and communicate via Telegram or Slack. Think of it as a capable junior employee, not a chatbot.

How does memory work?

The agent maintains persistent memory across sessions. It remembers your preferences, past conversations, and task context. You can also explicitly tell it to remember or forget things.

Can I self-host the agent?

Absolutely. GoGogot is 100% open-source. Run it on your own hardware for free. cowork.ink is the managed version — we handle servers, model costs, updates, and uptime so you don't have to.

Is there a free trial?

We offer a 7-day money-back guarantee. Spin up an agent, give it real tasks, and if it doesn't save you time, we'll refund you — no questions asked.

How much does it cost to run an AI agent?

Running an AI agent costs anywhere from $0.001 per simple chatbot interaction (using GPT-4o mini) to $5–8 per complex coding task (using reasoning models like o3 or Claude Opus). The biggest cost driver is agent loops — each turn re-sends the full conversation history, causing quadratic token growth.

What is the cheapest LLM API for AI agents?

DeepSeek V3 is the cheapest at $0.14/$0.28 per million input/output tokens. For major providers, Gemini 2.5 Flash ($0.30/$2.50) and GPT-4o mini ($0.15/$0.60) offer the best budget options. See our [full pricing comparison](/blog/ai-agent-cost/) for details.

How do AI agent loops multiply costs?

Agent loops cause quadratic cost growth because each turn re-sends the entire conversation history. A 10-turn agent session doesn't cost 10x a single call — it costs closer to 50x due to cumulative context re-sending. This is the single biggest hidden cost in AI agent deployments.

How can I reduce AI agent API costs?

The four most effective tactics are prompt caching (50–90% savings on input tokens), model routing (use cheap models for simple tasks), batch processing (50% discount from all major providers), and context window management (summarize old history instead of re-sending it).

Are AI agents cheaper than human workers?

For repetitive tasks, yes. AI customer support agents resolve tickets for $1–6 each vs. $5–25 for human agents. AI coding agents cost $2–8 per task vs. $50–200/hour for developers. But complex judgment calls still require humans — the sweet spot is AI handling volume while humans handle exceptions.

How Much Do AI Agents Cost to Run? Token Economics Explained

How much do AI agents REALLY cost to run? Full pricing breakdown for OpenAI, Anthropic & Google. Cut costs 60–80% with proven tactics. Compare now.

Frequently Asked Questions

How much does it cost to run an AI agent?: Running an AI agent costs anywhere from $0.001 per simple chatbot interaction (using GPT-4o mini) to $5–8 per complex coding task (using reasoning models like o3 or Claude Opus). The biggest cost driver is agent loops — each turn re-sends the full conversation history, causing quadratic token growth.
What is the cheapest LLM API for AI agents?: DeepSeek V3 is the cheapest at $0.14/$0.28 per million input/output tokens. For major providers, Gemini 2.5 Flash ($0.30/$2.50) and GPT-4o mini ($0.15/$0.60) offer the best budget options. See our [full pricing comparison](/blog/ai-agent-cost/) for details.
How do AI agent loops multiply costs?: Agent loops cause quadratic cost growth because each turn re-sends the entire conversation history. A 10-turn agent session doesn't cost 10x a single call — it costs closer to 50x due to cumulative context re-sending. This is the single biggest hidden cost in AI agent deployments.
How can I reduce AI agent API costs?: The four most effective tactics are prompt caching (50–90% savings on input tokens), model routing (use cheap models for simple tasks), batch processing (50% discount from all major providers), and context window management (summarize old history instead of re-sending it).
Are AI agents cheaper than human workers?: For repetitive tasks, yes. AI customer support agents resolve tickets for $1–6 each vs. $5–25 for human agents. AI coding agents cost $2–8 per task vs. $50–200/hour for developers. But complex judgment calls still require humans — the sweet spot is AI handling volume while humans handle exceptions.