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Elorian releases Glimpse, a visual reasoning model, as a research preview

5 articles5 sourcessince Oct 16Last article 1h ago ·

Overview

AISummary of 5 articles

Elorian releases Glimpse, its first model, as a research preview with API access at $0.60 per million input tokens and $3 per million output tokens.

The chat interface is waitlist-only. Glimpse can crop image regions, pull video frames, and run code during reasoning, which Elorian calls a "visual scratch space."

Elorian says Glimpse outperforms GPT-6 Astra on scientific chart reasoning and short-form video captioning, according to its own evaluations. Andrew Dai, who introduces the model, says it performs competitively with Astra on key public visual reasoning benchmarks. Elvis Saravia reports a 10-image test of overhead-camera game boards, hand-checked, in which Glimpse fully read 8 boards correctly and Gemini 3.8 Flash read 5. Saravia also says Elorian's founders previously led Gemini work at Google and MM-1 work at Apple.

The price sits above lightweight models such as Haiku and Luna and below mid-level models such as Sonnet and Sol, according to the report.

Written by AI from the articles below · updated Oct 16, 2:12 PM ET

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Developments

2 developments

  1. Oct 16, 1:22 PM ET · 1 article
    Elvis Saravia reports Glimpse outscoring Gemini 3.8 Flash on a 10-board overhead-camera test
    Elvis Saravia: Glimpse, a new visual model, scores 8/10 on board-reading test vs 5/10 for Gemini 3.8 Flash
  2. Oct 16, 12:01 PM ET · 4 articles
    Elorian releases Glimpse, a visual reasoning model, as a research preview
    TechCrunch · AI: Elorian releases Glimpse, a visual reasoning model that re-examines images mid-reasoning

Article timeline

The articles in this story. Times are ET.

Oct 16
  1. Rohan PaulX
    Elorian's Glimpse model compares video frames to reason about changes

    AIElorian releases Glimpse, a visual thinking model that compares how a scene changes across video moments. When the change is small or fast, Glimpse returns to the source, crops regions, extracts frames, or runs code to measure what it sees, which Elorian calls a "visual scratch space." Elorian says Glimpse is competitive with Astra on key public visual reasoning benchmarks.

  2. SantiagoX
    Glimpse answers questions about images and videos, including spatial relations and motion

    AISantiago says a model called Glimpse can answer questions about an image or video, including how objects relate spatially and how an action changes over time. Andrew Dai introduces Glimpse as a visual thinking model with competitive frontier performance against Astra on key public visual reasoning benchmarks.

    Video from @svpino's post
  3. Jeff DeanX
    Glimpse, Elorian's first visual thinking model, targets moving and angle-shifting images

    AIAndrew Dai introduces Glimpse, a visual thinking model from Elorian that he says performs competitively with Astra on key public visual reasoning benchmarks. He says earlier models handled single images well but struggled with anything that moves or changes angle. Jeff Dean praises the work of Dai and the Elorian team.

  4. elvisX
    Glimpse, a new visual model, scores 8/10 on board-reading test vs 5/10 for Gemini 3.8 Flash

    AIElorian AI releases Glimpse, its first vision-language model, which its founders say led work at Google on Gemini and at Apple on MM-1. In a 10-image test of game boards from an overhead camera, the post says Glimpse read 8 boards fully correctly against 5 for Gemini 3.8 Flash, with results hand-checked.

    Video from @omarsar0's post
  5. TechCrunch · AINews
    Elorian releases Glimpse, a visual reasoning model that re-examines images mid-reasoning

    AIElorian releases Glimpse, its first model, as a research preview with API access, priced at $0.60 per million input tokens and $3 per million output tokens. Glimpse can crop image regions, pull video frames, and run code during reasoning, which Elorian calls a "visual scratch space." The company says Glimpse outperforms GPT-6 Astra on scientific chart reasoning and short-form video captioning, according to its own evaluations.

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