How to Reduce OpenClaw API Costs by 80%

OpenClaw's biggest ongoing cost is AI API usage. Heavy users can spend $100-300/month on tokens alone. Here's how to cut that by up to 80% without significantly impacting quality.

Where Your Money Goes

Every message you send to OpenClaw triggers an API call to your AI provider. The cost depends on:

1. Model choice — Opus costs ~10x more than Haiku per token
2. Conversation length — longer context = more tokens per message
3. Response length — verbose replies cost more
4. Frequency — more messages = more API calls
5. Skills — some skills make additional API calls

Strategy 1: Choose the Right Model

This is the single biggest cost lever:

Recommendation: Use Sonnet 4.5 as your default. It's roughly 5x cheaper than Opus with 80-90% of the quality for most tasks.

To change your model:

openclaw config set ai.model "anthropic/claude-sonnet-4-5"

Strategy 2: Set Token Limits

By default, OpenClaw doesn't limit response length. A single verbose reply can cost 10x a concise one.

Set a maximum output token limit:

openclaw config set ai.maxTokens 1024

For most conversations, 1024 tokens (roughly 750 words) is plenty. You can always ask "elaborate" if you need more detail.

Strategy 3: Smart Model Routing

The most effective strategy: use cheap models for simple tasks and expensive models only when needed.

Some OpenClaw configurations support model routing rules:

• Simple questions → Haiku (cheapest)
• Standard conversations → Sonnet (balanced)
• Complex reasoning → Opus (best quality)

Check your OpenClaw version for smart routing support, or use a proxy like OpenRouter that offers automatic model selection.

Strategy 4: Manage Conversation Length

Every message in a conversation sends the entire chat history to the AI. A 50-message conversation sends 50 messages worth of tokens with each new request.

Tips:

• Start new conversations for new topics
• Use /clear or /reset to start fresh
• Avoid open-ended back-and-forth when a single detailed prompt would work
• Be specific in your first message to avoid follow-up clarification

Strategy 5: Reduce Proactive Messages

If OpenClaw is configured to proactively check things (news, prices, emails), each check costs tokens. Reduce frequency:

• Daily briefing: once per day, not every hour
• Price monitoring: check every 6 hours, not every 30 minutes
• Email triage: batch process twice daily instead of real-time

Strategy 6: Use Caching

If you're on OpenRouter or a proxy that supports prompt caching, enable it. Repeated context (system prompts, memory) gets cached and costs less on subsequent calls.

Strategy 7: Monitor Your Spending

Check your AI provider's dashboard regularly:

• Anthropic: console.anthropic.com → Usage
• OpenAI: platform.openai.com → Usage
• Google: console.cloud.google.com → Billing

Set spending alerts to avoid surprises.

Real Impact

A typical user switching from Opus to Sonnet and adding token limits:

Quality difference for daily tasks? Barely noticeable.

The Cheapest Setup

For absolute minimum cost:

1. Use Gemini 2.5 Flash (~$0.15 per million tokens)
2. Set token limit to 512
3. Reduce proactive features
4. Start new conversations frequently

Estimated monthly cost: $1-3 for moderate use.

Get Started

Deploy OpenClaw on ClawTank and bring your own API key. You control your model choice and spending — ClawTank handles the infrastructure.