For OpenClaw on a budget, the community answer is: run routine automation on efficient open models — Kimi, GLM or MiniMax coding plans in the $18–20/mo range, or a flat-rate routed API from $19/mo — and reserve frontier models for steps that actually need them. Avoid backing OpenClaw with a Claude chat subscription via OAuth: Anthropic banned third-party agent access in April 2026 and reinstated it only with conditions, and OpenClaw users have reported account bans. Computer-use agents burn tokens in loops, so judge options by cost per completed task, not price per token.
OpenClaw-style agents loop: observe, decide, act, verify. A single task can run dozens of model calls with big context, so per-token pricing multiplies fast — agentic workloads commonly burn 5–30x the tokens of chat use for the same 'amount' of visible work. That is why the right metric is cost per completed task, and why a slightly smarter model that finishes in fewer steps is often cheaper than the cheapest model that retries five times.
| Option | Price | Best for | The catch |
|---|---|---|---|
| Kimi / GLM / MiniMax coding plans | $18–20/mo reported | High-volume routine automation | Session/weekly windows; concurrency limits; peak-hour slowdowns reported |
| Flat-rate smart routing | From $19/mo | Mixed workloads — routing matches each step to a model | You do not pin one model |
| OpenAI OAuth (ChatGPT plan) | $8–20/mo | Light use on an account you already pay for | 5-hour windows; agent loops drain them fast |
| Local models (Ollama) | $0 + hardware | Privacy, tinkering | Setup cost, and task success rates drop on hard steps |
Backing OpenClaw with a Claude Pro/Max subscription through OAuth was the popular cheap route until Anthropic moved against it: third-party agent access was banned in April 2026, then reinstated with conditions, and users have reported bans since. If your automation matters, do not build it on an access path the provider has already shown it will revoke — use an API you are allowed to use.
The cheapest per-token model is frequently the most expensive per finished task — it retries, loops and fails on hard steps. Budget optimization for computer-use agents is about completion rate first, token price second.
Standard Compute fits OpenClaw's economics directly: OpenAI-compatible endpoint, smart routing that sends easy steps to efficient models and hard ones to frontier-class models, flat monthly budget from $19/mo, no 5-hour or weekly windows to interrupt long automation runs, and no ban roulette — agents are exactly what the service is for.
Technically sometimes, contractually shakily. Anthropic banned third-party agent usage of Claude subscriptions in April 2026 and reinstated it with conditions; user ban reports continue. For automation you rely on, use API access designed for it.
The community pattern: OpenAI OAuth or a cheap coding plan (Kimi/GLM/MiniMax) for volume, with frontier models reserved for hard steps — either manually or via a routed flat-rate API that does the split automatically.
Light automation on cheap plans: $10–20. Serious daily automation: $20–100 depending on how much frontier-model time your tasks need. Unmetered per-token use of frontier models is the trap — loops can turn one bad day into a three-digit bill.