For synthetic data generation, does o3-mini, o1, or 4o generally fare better?

API
1

I am interested in synthetically generating text data such as entity summarization. I am wondering how o3-mini, o1, or 4o compares on such tasks. Would there be any rules of thumb here?

2

I’ve found 4o-mini to be the best so far, but am still waiting on API access for the o3 models. I’ve generally skipped o1 because I’m getting great results with 4o-mini. The 4o model was a little too verbose and tended to drift to adjacencies. For textual generation, 4o, with the proper guidance, has hands down been great.

3

4o writes better in terms of creativity, but if you are using another text as input and generating summaries, the output quality will depend on the input length (ref: Reasoning Degradation in LLMs with Long Context Windows: New Benchmarks).

In this case, for very long texts, o3-mini is better.

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