OpenClaw API Costs Compared: Claude vs GPT-4o vs Local Models (2026) | OpenClaw DC

The cheapest way to run OpenClaw is with Ollama and a local model ($0/mo). For cloud APIs, GPT-4o-mini costs $3-8/month for personal use, Claude Sonnet costs $6-15/month, and GPT-4o costs $15-50/month. Here is the full comparison with real usage scenarios so you can pick the right provider before your first API bill arrives. OpenClaw itself is free and open-source. You only pay for the tokens your chosen LLM consumes.

API Pricing Table (March 2026)

Monthly estimates assume 100 queries per day with an average of 1,500 input tokens and 500 output tokens per query. Your actual cost depends on prompt complexity, output length, and how many tool-calling turns each task requires.

How the Math Works

If you send 100 queries per day averaging 1,500 input tokens and 500 output tokens each, your monthly token consumption looks like this:

• Input tokens per month: 100 x 1,500 x 30 = 4.5 million tokens
• Output tokens per month: 100 x 500 x 30 = 1.5 million tokens

For GPT-4o-mini, that works out to (4.5 x $0.15) + (1.5 x $0.60) = $0.675 + $0.90 = $1.58/month at the base rate. In practice, multi-turn tool calls and system prompts push the real cost to $3-8/month.

For Claude 3.5 Sonnet, the same volume gives you (4.5 x $3.00) + (1.5 x $15.00) = $13.50 + $22.50 = $36/month at raw rates. But most personal users send 30-50 queries per day with shorter prompts, landing at $6-15/month.

For Together AI (Llama 3.3 70B), you get (4.5 x $0.88) + (1.5 x $0.88) = $3.96 + $1.32 = $5.28/month at full volume. Quality is strong for straightforward tasks, making it a solid budget pick.

How to Switch Models in OpenClaw

Changing your API provider takes one command. You can swap models any time without losing your workflows or configuration.

# Switch to GPT-4o-mini (cheapest cloud option)
openclaw config set agents.defaults.models.chat openai/gpt-4o-mini

# Switch to Claude Sonnet (best tool-calling accuracy)
openclaw config set agents.defaults.models.chat anthropic/claude-3.5-sonnet

# Switch to Together AI Llama (budget cloud option)
openclaw config set agents.defaults.models.chat together/meta-llama/Llama-3.3-70B

# Switch to Groq (fastest inference)
openclaw config set agents.defaults.models.chat groq/llama-3.3-70b

# Switch to Ollama local (free)
openclaw config set agents.defaults.models.chat ollama/qwen3.5:27b

How to Set Token Limits

You can cap the maximum tokens per request to prevent runaway costs. This is especially useful when using premium models like GPT-4o or Claude Sonnet.

# Limit output tokens to 1,000 per response
openclaw config set agents.defaults.max_tokens 1000

# Limit total context window usage
openclaw config set agents.defaults.max_context_tokens 8000

# Verify your limits
openclaw config get agents.defaults

Setting max_tokens to 1,000 cuts your output costs roughly in half compared to the default. For simple tasks like file renaming, calendar lookups, or short summaries, 500 output tokens is usually enough.

Decision Framework: Cheap vs Quality

Not every task needs the same model. Here is how to match your workload to the right provider.

Use GPT-4o-mini or Groq for:

• Simple file operations (move, rename, organize)
• Quick lookups and summaries
• Repetitive automations with predictable inputs
• High-volume, low-complexity batch jobs

Use Claude Sonnet or GPT-4o for:

• Multi-step reasoning workflows
• Code generation and debugging
• Tasks requiring careful tool-calling accuracy
• Research that involves reading and synthesizing long documents

Use Ollama (local) for:

• Privacy-sensitive workflows with personal data
• Unlimited usage with no billing concerns
• Offline or air-gapped environments
• Development and testing before switching to a cloud model

The most cost-effective setup for many users is a hybrid approach: route simple tasks to GPT-4o-mini or a local model, and send complex reasoning tasks to Claude Sonnet. OpenClaw supports per-agent model configuration, so you can assign different models to different workflows.

# Example: set a specific agent to use a cheaper model
openclaw config set agents.file-organizer.models.chat openai/gpt-4o-mini
openclaw config set agents.researcher.models.chat anthropic/claude-3.5-sonnet

What About Free Tiers?

Several providers offer limited free access. Groq provides a generous free tier with rate limits. Together AI offers a small free credit for new accounts. OpenAI and Anthropic both offer trial credits for new API signups, typically $5-10. These can cover weeks of light personal use.

For a truly free long-term setup, Ollama with a local model is the only option with no rate limits and no expiration.

Next Steps

Pick the provider that fits your budget and workload. Start with a spending limit on your API account, run OpenClaw for a week, then check your actual token usage before committing to a monthly budget.

For more detailed breakdowns, see our full cost guide, best local models for OpenClaw, and monthly cost breakdown.