I came across a repository listing free LLM API resources (github.com/cheahjs/free-llm-api-resources) and decided to test how far you can get with agentic coding without spending money.
Here is what I found.
The Landscape
There are more free options than I expected. Several providers offer free tiers that are generous enough for serious experimentation:
- Rate-limited but functional API access
- Models ranging from small (2-7B parameters) to surprisingly capable (70B+)
- Some support function calling and tool use, which is essential for agentic workflows
The catch is consistency. Free tiers often have queuing, lower priority, or unpredictable availability. For production, you pay. For learning and prototyping, free is viable.
What Works
Simple code generation. Generating functions, scripts, and boilerplate works well on free tier models. The smaller models handle these tasks without issues.
Debugging assistance. Explaining error messages and suggesting fixes is surprisingly good even on 7B-13B models. They have seen enough Stack Overflow data.
Documentation writing. Docstrings, comments, README drafts. Free models handle this competently.
What Does Not Work
Complex multi-step reasoning. Free models struggle with tasks requiring multiple reasoning steps or maintaining context over long conversations.
Tool use is hit or miss. Some providers support function calling on free tiers, but the reliability is lower than paid alternatives. Agents that need to call tools frequently will fail more often.
Large context windows are rare. Most free tiers limit context to 4K-8K tokens. This rules out working with large codebases or long documents.
Practical Advice
- Use free tiers for prototyping. Validate your workflow before committing to paid APIs.
- Have a fallback. Design your agent system so it can switch between providers or fall back to local models when rate limits hit.
- The free tier landscape changes fast. What works today may not work next month. Keep an eye on the repository that tracks these resources.
The bottom line: free tier LLMs are good enough for learning, prototyping, and simple coding tasks. For serious agentic workflows, you will eventually need to pay. But you can get surprisingly far without opening your wallet.