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# Elorian’s first AI model wants to reason with images, not just about them

**[TechCrunch](https://daily.dev/sources/tc)** · 3 min read · 0 upvotes · 0 comments

## Summary

Palo Alto startup Elorian, which raised $55 million in seed funding at a $300 million valuation before launching a product, released its first AI model, Glimpse, as a research preview. Unlike typical multimodal models that convert an image to tokens once and reason about it purely in text, Glimpse maintains a 'visual scratch space,' letting it crop into regions, pull specific video frames, or run code to re-examine visual content mid-reasoning. CEO Andrew Dai, a former Google DeepMind researcher, says this addresses failures like models being unable to read board-game states or IKEA diagrams. Glimpse costs $0.60 per million input tokens and $3 per million output tokens, positioning it between lightweight and mid-tier models, and Elorian claims it beats GPT-6 Astra on scientific chart reasoning and short video captioning despite being trained on just a few hundred GPUs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://techcrunch.com/2026/10/16/elorians-first-ai-model-wants-to-reason-with-images-not-just-about-them>

## Questions this post answers

### How much does Elorian's Glimpse model cost per token?

Glimpse costs $0.60 per million input tokens and $3 per million output tokens. That places it above lightweight models like Haiku and Luna but below mid-level models like Sonnet and Sol. Elorian says Glimpse outperforms GPT-6 Astra on scientific chart reasoning and short-form video captioning despite being trained on only a few hundred GPUs by a small team.

_Comparing vision-model pricing and benchmarks gets easier when tracked in one place on daily.dev._

### What is a visual scratch space in an AI model?

A visual scratch space is a mechanism, introduced by Elorian's Glimpse model, that lets the model return to the original image or video mid-reasoning instead of converting it to tokens just once. It can crop into a region, pull specific video frames, or run code to measure or compare what it sees, similar to zooming into a photo to verify a detail.

_Developers tracking new multimodal reasoning techniques can follow updates like this on daily.dev._

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---

Tags: [#llm](https://daily.dev/tags/llm), [#multimodal](https://daily.dev/tags/multimodal)

[View this post on daily.dev](https://daily.dev/posts/elorian-s-first-ai-model-wants-to-reason-with-images-not-just-about-them-lmvkmrop4)

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