Elorian, a Palo Alto startup founded by former Google DeepMind researcher Andrew Dai, released its first model, Glimpse, on October 16 as a research preview with API access. Instead of converting an image to tokens once and reasoning from memory, Glimpse keeps returning to the source mid-reasoning — cropping into a region, pulling specific video frames, or running code to measure what it sees, in what Elorian calls a visual scratch space.

On Elorian's own benchmark table, Glimpse beats OpenAI's GPT-6 Astra on scientific chart reasoning (92.90 to 92.10 on CharXiv-R) and short-form video captioning, while trailing Astra on several other tests. It is priced at $0.60 per million input tokens and $3 per million output tokens.

Elorian says a small team trained the model on only a few hundred GPUs on top of an open-weights base. The company disclosed a $55 million seed round at a $300 million valuation earlier this year, co-led by Striker, Menlo and Altimeter, with Nvidia participation.