"The richness of this dataset gives StableLM surprisingly high performance in conversational and coding tasks, despite its small size of 3 to 7 billion parameters (by comparison, GPT-3 has 175 billion parameters)."

So they did not explicitly say it is comparable, but implicitly compared the two. I'm curious to evaluate what "surprisingly high performance" means exactly.