"Free" means three different things in the AI model world. Here's which free models work with OpenClaw and which ones waste your time.
After Anthropic banned Claude Pro/Max subscriptions from third-party tools on April 4, 2026, the most common question in the OpenClaw community became: "What can I use for free?"
The answer is more complicated than most guides make it. "Free" means three different things: free API tiers with rate limits and potential data training, free local models that require your own hardware, and near-free models that cost pennies but aren't actually zero.
I tested all three categories. Here's what works, what doesn't, and where the traps are.
The three categories of "free" (this matters)
Category 1: Free API tiers. Cloud providers offer limited free access. You get a quota (daily requests or monthly tokens), pay nothing until you exceed it, and your data may be used for model training. Gemini, Qwen, and OpenRouter fall here.
Category 2: Free local models. You run the model on your own hardware via Ollama. Zero API cost. Complete data privacy. But you need a machine with 16GB+ RAM for usable models, and tool calling quality varies significantly.
Category 3: Near-free API models. DeepSeek at $0.27/$1.10 per million tokens. Not technically free, but a full day of heavy OpenClaw usage stays under $1. Close enough to free that the distinction barely matters for most people.
Most "best free model" guides mix all three without telling you. The tradeoffs are completely different.
1. Gemini 2.5 Flash (best free API tier overall)
Google's free tier is the most generous in the industry. 1,500 requests per day. No credit card required. A massive 1M token context window. Solid tool calling for agent tasks.
For a personal OpenClaw agent doing 30-50 messages per day, the free tier covers your entire usage. You'd need to send 50+ messages daily before hitting the 1,500 request ceiling, and each message generates 3-5 API calls (reasoning, tool use, response).
Where it works: Simple agent tasks. File operations. Scheduling. Q&A. Web browsing. The quality is competitive with GPT-4o-mini for routine work.
Where it falls short: Complex multi-step reasoning. Creative writing quality. Instruction-following gets unreliable past 500K tokens in the context window. If your tasks require Sonnet-level nuance, Flash won't match it.
The catch: Free tier data may be used for training. If you're processing proprietary code or sensitive conversations, this matters. Use the paid API or run local instead.
For the full model-by-model comparison including paid options, our model guide covers the complete roster.
2. Qwen 3 via OAuth (best free tier for multilingual)
Qwen's OAuth device-code flow gives you a daily free request quota through the bundled OpenClaw plugin. The setup is more involved than Gemini (you need to enable the qwen-portal-auth plugin and run the OAuth login), but the free tier is usable for real work.
Where it works: Multilingual tasks. If your agent handles Chinese, Japanese, Korean, or other Asian languages, Qwen produces noticeably better results than Western models. It's also solid for general-purpose coding and task automation.
Where it falls short: The daily quota is stricter than Gemini's. Heavy users will hit limits. English-only tasks don't benefit from Qwen's multilingual advantage.
3. DeepSeek V3 (best quality, technically not free)
DeepSeek offers roughly 10 million free tokens per month, then switches to pay-as-you-go at $0.27/$1.10 per million tokens. Even past the free tier, a full day of heavy usage costs under $1.
This is the quality pick. Community consensus puts DeepSeek V3 at roughly 90% of Claude/GPT quality for everyday tasks. Email drafting, research summaries, brainstorming, code review. You'll barely notice the difference from models costing 10x more.
Where it works: Nearly everything. DeepSeek's quality-to-cost ratio is the best in the market. It's the default recommendation from multiple community guides for a reason.
Where it falls short: Occasional latency spikes during peak hours. Rate limits on the free tier can interrupt workflows. For complex reasoning tasks that require Opus-level depth, it won't match the premium models.
For the cheapest providers including DeepSeek and free tier options, our cost guide covers the specific pricing for each provider.
4. Ollama local models (free forever, hardware required)
Running models locally via Ollama costs nothing per token. Your data never leaves your machine. Complete privacy. No rate limits. No quota.
The current sweet spot is Qwen3 32B. It requires 16GB+ RAM (runs on most modern Macs) and provides solid general-purpose performance. Gemma 4 is the recommended alternative for Mac users who want something newer.
Where it works: Privacy-sensitive workflows. High-volume tasks where API costs add up. Offline operation. Development and testing.
Where it falls short: Tool calling quality varies. The Ollama streaming bug (GitHub Issue #5769) still affects some models. Small local models (under 7B parameters) generally can't call tools reliably, which means your agent describes tasks instead of doing them. For the troubleshooting guide on local model tool calling, our Ollama guide covers which models work and which don't.
5. OpenRouter
OpenRouter aggregates models from multiple providers. Some models have a
Where it works: Experimentation. Trying different models without creating accounts with each provider. One API key, many models.
Where it falls short: Free model availability changes without notice. Quality of free endpoints varies. Queue times during peak hours can make the agent feel slow. The free models on OpenRouter are generally the smallest and least capable versions.
The models that waste your time
Here's what nobody tells you about free models for OpenClaw.
GLM-5.1 and GLM-5 Turbo. Community feedback is brutal. Multiple users report them as unusable for agentic tasks. One user described GLM-5.1 as generating code dumps instead of responses. Another called it "talking to a drunk model." Don't waste your time.
Kimi free tier. Reviews are consistently negative. Promotional credits run out faster than expected. The credit system charges for everything (session history, tool outputs, cache). One user reported a month's quota consumed in one day.
Any local model under 7B parameters. Tool calling is unreliable or nonexistent. The agent will describe tasks instead of executing them. If you're going local, go 32B or don't bother.
Start with Gemini 2.5 Flash free tier. It covers personal use with zero cost. When you outgrow it, switch to DeepSeek V3 at near-zero cost. Only go local (Ollama) if data privacy is a hard requirement and you have the hardware.
If the model configuration, provider setup, and free tier management feels like more work than you want, BetterClaw supports 28+ model providers from a dropdown. Free tier with 1 agent and BYOK. $29/month per agent for Pro. Smart context management means you use fewer tokens per interaction regardless of which model you choose, which stretches free tiers further. The model selection is a dropdown, not a config file.
The uncomfortable truth about free models
Here's the honest take.
Free models work for personal use, learning, and experimentation. They don't work for business-critical agent deployments where response quality, reliability, and uptime matter.
The quality gap between Gemini Flash free and Claude Sonnet is real. The reliability gap between a free tier with rate limits and a paid tier with guaranteed capacity is real. The privacy gap between a free tier that trains on your data and a paid API that doesn't is real.
Free is a starting point. It's not a destination. Most people who start on free models end up on DeepSeek V3 (near-free) or Sonnet (mid-tier) within a month because the quality-to-cost ratio at those price points is dramatically better than free.
If you're evaluating OpenClaw agents and want to start free, give BetterClaw's free tier a try. 1 agent, BYOK (bring your Gemini or DeepSeek key), hosting included. No credit card. Your first deploy takes 60 seconds. If and when you're ready for Pro, it's $29/month per agent with full access. Start free. Upgrade when the agent is worth it to you.
Frequently Asked Questions
What is the best free model for OpenClaw?
Gemini 2.5 Flash via Google AI Studio. It offers 1,500 requests per day for free (no credit card required), a 1M token context window, and solid tool calling quality. It covers personal OpenClaw usage (30-50 messages/day) completely within the free tier. DeepSeek V3 is technically better quality but has a smaller free allocation (~10M tokens/month) before switching to near-free pay-as-you-go pricing.
Can I run OpenClaw completely free?
Yes, in two ways. First, use a free API tier (Gemini 2.5 Flash gives 1,500 requests/day free). Second, run models locally via Ollama (Qwen3 32B requires 16GB+ RAM, zero API cost). Both approaches work for personal use. The trade-offs: free API tiers have rate limits and may train on your data. Local models require hardware and have variable tool calling quality.
Which free models support tool calling in OpenClaw?
Cloud free tiers: Gemini 2.5 Flash (solid tool calling), DeepSeek V3 (strong tool calling), Qwen 3 (reliable). Local via Ollama: Qwen3 32B+ (good), hermes-2-pro (designed for tool calling), mistral:7b (adequate). Models under 7B parameters generally cannot call tools reliably. If your local model describes tasks instead of executing them, it likely lacks tool calling support.
Is DeepSeek V3 actually free for OpenClaw?
Partially. DeepSeek offers approximately 10 million free tokens per month. After that, it's pay-as-you-go at $0.27 per million input tokens and $1.10 per million output tokens. A heavy day of OpenClaw usage (500K input + 200K output tokens) costs roughly $0.35. Most personal users stay under $5/month total. It's functionally near-free but not technically zero cost after the free allocation runs out.
Does BetterClaw support free models?
Yes. BetterClaw's free tier includes 1 agent with BYOK (bring your own API key). You can connect your Gemini free tier key, DeepSeek key, or any of 28+ supported providers. BetterClaw charges for the platform ($29/month for Pro), not for inference. You pay your model provider directly at their rates, including free tiers. Smart context management means you use fewer tokens per interaction, which stretches free tier quotas further.
