Free AI Models for OpenClaw: Every No-Cost Option in 2026

Ollama — Local Models ($0)

Ollama is the most popular way to run AI models locally with OpenClaw. You download a model once, and it runs on your own hardware with zero API costs. No rate limits, no usage caps, no data leaving your machine.

To set up Ollama with OpenClaw:

# Install Ollama
curl -fsSL https://ollama.com/install.sh | sh

# Pull a model
ollama pull qwen3.5:14b

# Ollama runs on http://localhost:11434 by default

Then configure OpenClaw to use the Ollama endpoint:

{
  "modelProvider": {
    "type": "ollama",
    "baseUrl": "http://localhost:11434",
    "model": "qwen3.5:14b"
  }
}

The best local models for OpenClaw in March 2026:

• Qwen3.5 14B: Best all-around local model. Strong reasoning, good instruction following, fits in 16GB RAM. This is the default recommendation for most operators.
• Qwen3.5 7B: Lighter version for machines with 8GB RAM. Still capable for most agent tasks but weaker on complex reasoning.
• Llama 3.3 70B: The most capable open model if you have the hardware (64GB+ RAM or a strong GPU). Excellent for complex workflows.
• Llama 3.3 8B: Good entry point. Runs on modest hardware. Decent for simple agent tasks, scheduling, and basic automation.
• GLM-4 9B: Strong multilingual support. Good choice if your agent needs to handle multiple languages.
• Mistral 7B: Fast and efficient. Good for high-throughput scenarios where speed matters more than reasoning depth.

Hardware requirements for local models:

The trade-off with local models is clear: zero cost but you need decent hardware, and quality is lower than frontier cloud models. For many agent tasks — scheduling, email management, simple content generation, data processing — local models are more than sufficient.

Google Gemini Free Tier

Google offers a generous free tier for Gemini 2.0 Flash through their AI Studio API. As of March 2026, the free tier includes:

• 15 requests per minute
• 1,500 requests per day
• 1 million tokens per minute
• No credit card required

Gemini 2.0 Flash is fast and capable. It handles reasoning, code generation, and multi-turn conversation well. The rate limits are generous enough for a personal AI agent that handles a moderate workload.

To configure OpenClaw with Gemini:

{
  "modelProvider": {
    "type": "google",
    "apiKey": "YOUR_GEMINI_API_KEY",
    "model": "gemini-2.0-flash"
  }
}

Get your free API key from Google AI Studio. No billing setup needed.

The limitation is the rate limit. At 15 requests per minute, you can handle normal conversational use and scheduled tasks without issues. But if your agent processes high volumes of messages or runs batch operations, you will hit the cap. Consider pairing Gemini with a local model for overflow.

DeepSeek Free Tier

DeepSeek offers a free tier for their API that includes a daily token allocation. DeepSeek V3 and DeepSeek-R1 are both available. The models are strong on reasoning and code generation, competing with much more expensive alternatives.

Configure OpenClaw with DeepSeek:

{
  "modelProvider": {
    "type": "openai-compatible",
    "baseUrl": "https://api.deepseek.com/v1",
    "apiKey": "YOUR_DEEPSEEK_API_KEY",
    "model": "deepseek-chat"
  }
}

DeepSeek's free tier has a daily token limit that resets at midnight UTC. The exact limit changes periodically, so check their pricing page for current numbers. Even when you exceed the free tier, DeepSeek's paid pricing is among the cheapest in the industry.

Important consideration: DeepSeek is a Chinese company. If your agent handles sensitive data and you have regulatory requirements about data residency, this may be a factor in your decision. The models themselves are excellent regardless.

Groq Free Tier

Groq runs AI models on their custom LPU (Language Processing Unit) hardware, delivering inference speeds that are dramatically faster than GPU-based providers. Their free tier includes daily token limits for several models.

Available free models on Groq:

• Llama 3.3 70B: The standout option. A 70B parameter model running at cloud speed for free.
• Llama 3.3 8B: Faster and lighter, good for simple tasks.
• Mixtral 8x7B: Mixture-of-experts model with good performance-to-speed ratio.
• Gemma 2 9B: Google's open model, efficient and fast on Groq hardware.

Configure OpenClaw with Groq:

{
  "modelProvider": {
    "type": "openai-compatible",
    "baseUrl": "https://api.groq.com/openai/v1",
    "apiKey": "YOUR_GROQ_API_KEY",
    "model": "llama-3.3-70b-versatile"
  }
}

Groq's speed advantage is most noticeable in real-time conversational agents where response latency matters. Getting 70B-class model quality with sub-second response times — for free — is remarkable.

The catch: free tier daily limits are relatively tight. You might get a few hundred requests per day depending on the model. For a personal agent with moderate usage, this is fine. For anything high-volume, you will need to combine Groq with other providers.

OpenRouter Free Models

OpenRouter is an API aggregator that provides access to dozens of AI models through a single API. Several models on OpenRouter are available for free, supported by community credits and provider promotional allocations.

Free models available through OpenRouter (as of March 2026):

• Meta Llama 3.3 8B Instruct (free)
• Google Gemma 2 9B (free)
• Mistral 7B Instruct (free)
• Qwen 2.5 7B Instruct (free)
• Various other community-supported models

Configure OpenClaw with OpenRouter:

{
  "modelProvider": {
    "type": "openai-compatible",
    "baseUrl": "https://openrouter.ai/api/v1",
    "apiKey": "YOUR_OPENROUTER_API_KEY",
    "model": "meta-llama/llama-3.3-8b-instruct:free"
  }
}

The advantage of OpenRouter is flexibility. If one free model goes down or changes its availability, you can switch to another with a single configuration change. The disadvantage is that free models can have unpredictable availability and rate limits.

Hugging Face Inference API

Hugging Face offers a free Inference API that lets you run open-source models hosted on their infrastructure. The free tier includes a limited number of requests per hour for a selection of popular models.

Configure OpenClaw with Hugging Face:

{
  "modelProvider": {
    "type": "openai-compatible",
    "baseUrl": "https://api-inference.huggingface.co/v1",
    "apiKey": "YOUR_HF_TOKEN",
    "model": "meta-llama/Llama-3.3-8B-Instruct"
  }
}

Hugging Face is best for experimentation and testing different models. The free tier limits are modest — you will run into rate limits quickly with active agent use. For production, it works best as a fallback provider rather than your primary model source.

Hugging Face also supports Inference Endpoints where you can deploy a model on dedicated hardware. This is not free, but it removes rate limits and gives you guaranteed availability. Pricing starts at around $0.60/hour for a basic GPU instance.

Full Comparison Table

Multi-Model Routing Strategy

The smartest free-tier strategy is to use OpenClaw's multi-model routing to spread your workload across multiple providers. This way, no single provider's rate limit becomes a bottleneck.

Here is an example multi-model configuration:

{
  "modelRouting": {
    "default": {
      "provider": "ollama",
      "model": "qwen3.5:14b"
    },
    "complex": {
      "provider": "google",
      "model": "gemini-2.0-flash"
    },
    "fast": {
      "provider": "groq",
      "model": "llama-3.3-70b-versatile"
    },
    "fallback": {
      "provider": "deepseek",
      "model": "deepseek-chat"
    }
  }
}

With this setup, simple tasks go to your local Ollama model (free, unlimited). Complex reasoning tasks go to Gemini (free tier, rate limited). Tasks needing fast response go to Groq. If any provider is unavailable, DeepSeek handles the overflow.

This multi-provider approach gives you near-unlimited free capacity for a single-user agent. The key is assigning the right model to the right task based on complexity, speed requirements, and provider availability.

Recommendations by Use Case

Personal AI assistant (low volume): Google Gemini 2.0 Flash free tier. The quality and rate limits are perfect for personal use. No hardware requirements.

Developer running experiments: Ollama with Qwen3.5 14B. Unlimited requests, no rate limits, works offline. You need 16GB RAM minimum.

Privacy-focused operator: Ollama with any local model. Your data never leaves your machine. No cloud API calls, no third-party data processing.

Speed-focused chatbot: Groq free tier with Llama 3.3 70B. Fastest response times available, excellent quality.

Maximum free capacity: Multi-model routing across all providers. Use Ollama as default, route to cloud providers for complex tasks, and spread load across Gemini, Groq, and DeepSeek free tiers.

Budget-constrained business: Start with Gemini free tier. When you outgrow it, DeepSeek paid tier is the cheapest cloud option. Local Ollama is cheapest overall if you already have the hardware.

The bottom line: you can run a fully capable OpenClaw agent for $0 in ongoing API costs. The quality of free and local models in 2026 is genuinely impressive, and multi-model routing lets you get the most out of every free tier.