Best Cheap API Models for OpenClaw Agents (2026)

Why Model Choice Matters for OpenClaw Costs

A single OpenClaw agent running 24/7 with a capable model costs anywhere from $5 to $200 per month in API fees, depending entirely on which model you pick. The difference between Claude Opus and Gemini 2.0 Flash on an identical task can be 100x in cost. Most agents do not need the most powerful model. They need the right model.

OpenClaw lets you set the model per agent in your SOUL.md file. This means you can run a 5-agent team where each agent uses the cheapest model that handles its specific task. A routing agent that classifies incoming messages needs different capabilities than a writer agent that drafts long-form content.

## Identity
- Name: Triage
- Role: Incoming Request Router
- Model: gemini-2.0-flash   # $0.10 per million input tokens

## Identity
- Name: Writer
- Role: Content Creator
- Model: claude-haiku-4-5    # $0.80 per million input tokens

## Identity
- Name: Analyst
- Role: Market Research Analyst
- Model: claude-sonnet-4-5   # Higher cost, used sparingly

Cost Comparison: Top Cheap Models in 2026

Here is a cost breakdown for the most relevant models for OpenClaw agents. Prices are per million tokens (input / output):

Best Model by Agent Task Type

The right model depends on what the agent actually does. Here is the breakdown by task category:

Gemini 2.0 Flash: The Best All-Rounder

For most OpenClaw use cases, Gemini 2.0 Flash is the best cheap model available in 2026. At $0.10 per million input tokens, it costs 8x less than Haiku and performs comparably on writing, summarization, and basic tool use. It has a 1 million token context window, handles multimodal inputs, and has a free tier through Google AI Studio.

The main limitation is instruction following on complex multi-step tasks. When your agent needs to execute a precise 5-step workflow where each step conditions the next, Haiku or GPT-4o Mini are more reliable. For anything simpler, Gemini Flash handles it at a fraction of the cost.

## Identity
- Name: Radar
- Role: Market Research Analyst
- Model: gemini-2.0-flash

# Set GEMINI_API_KEY in your environment
# Get free API key at: aistudio.google.com

Groq: When Speed is the Priority

Groq runs open-source models (Llama, Mixtral, Gemma) on custom LPU hardware that delivers inference speeds of 500-800 tokens per second. That is 5-10x faster than standard GPU-based APIs. For agents that need immediate responses, Groq makes a noticeable difference.

Groq pricing starts at $0.05-$0.09 per million tokens for Llama 3.1 8B. The trade-off is model quality. Llama 3.1 8B is capable but not as reliable as Claude or GPT on complex instruction following. Use Groq for high-volume, simple tasks where latency matters.

Ollama: Zero Cost on Your Own Hardware

If you are already running OpenClaw locally, Ollama gives you free inference on your own machine. The cost is electricity and hardware depreciation, not API fees. On Apple Silicon (M2 Pro or better), Mistral 7B and Llama 3.1 8B run at speeds fast enough for most agent tasks.

Ollama works best for privacy-sensitive workflows where you cannot send data to cloud APIs, or for agents that run during off-hours on hardware you already own. For agents handling personal information, financial data, or proprietary business content, local models eliminate the data-sharing concern entirely.

See our guide to the best Ollama models for OpenClaw for a detailed comparison of local model options.

Practical Cost Example: 5-Agent Team

Here is what a 5-agent OpenClaw team costs per month using optimized model selection versus using a single premium model for everything:

Estimates based on moderate usage: ~50 interactions/day per agent, average 2K tokens per interaction.

When to Spend More

Cheap models earn their keep for repetitive, well-defined tasks. There are situations where spending more is the right call:

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Frequently Asked Questions