From our experiments it’s the best video captioning model in the world by a mile. This was not the case a year ago.

When reasoning got introduced a year ago to GPT 5, on average the model performed worse than GPT4-o for short video clip captioning (Ie hallucinating actions that didn’t happen). The old GPT 5 was extremely finicky in terms of fps sample rate.

The other SOTA LLMs (like Gemini Pro) have clearly been optimized for long video understanding, since they can’t see almost anything sub-second (even if you up the frame sampling rate).

Sol is the first model we’ve seen to accurately caption complex sub-second movements (eg woman suddenly turns heard head to right). It’s robust to different fps sample rates so I can only guess that they trained on videos sampled at different fps.