Unlocking the Power of Free LLMs in Software Development
Can free large language models (LLMs) truly build software or simply chat about it? George Larson tested this with a $25 VPS and 15 models across different platforms. Here’s what he discovered:
- The Challenge: Creating a URL shortener with specific requirements, using models that needed to run without further human input.
- Results:
- 8 out of 15 models passed—some achieving remarkable outcomes in under two minutes.
- Failures: 6 of 7 models from OpenRouter could not connect, not due to incompetence, but infrastructure issues.
Key Insights:
- Quality of code varied significantly, with standout architectures provided by free models like mimo-v2-flash-free.
- Important distinction: passing tests doesn’t always indicate fulfillment of the specified requirements.
This experiment demonstrates a potent, low-cost approach to AI benchmarking. Curious about what’s next? Stay tuned for more insights into the evolving landscape of AI!
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