Models Model details

Elorian

Elorian: Glimpse

elorian/glimpse

Glimpse is a multimodal visual reasoning model from Elorian, built for visual understanding and complex visual reasoning in the physical world. It reasons directly over images and video rather than converting them to text first, so it can find small details in dense scenes, track events across video frames, and ground its answers in what is actually on screen. It is suited for agentic visual workflows such as visual search, video captioning, and dense counting, and for physical-world use cases in robotics, construction, engineering, and manufacturing.

Input
$0.6

/ 1M tokens

Output
$3

/ 1M tokens

Context window
262.14K

tokens

Limits

Context

262,144

tokens

Max output

256,000

98% of the context window

Model facts

Author

Elorian

Tokenizer

Other

Modality

Text + Image + Video -> Text

Created

Oct 17, 2026

Publication status

Hugging Face: not mappedLicense: not publishedParameter count: not published

Modalities

Input · TextInput · ImageInput · VideoOutput · Text

Generation controls

Frequency penaltyInclude reasoningLogit biasLogprobsMax tokensMin pPresence penaltyReasoningRepetition penaltyResponse formatStopStructured outputsTemperatureTool choiceToolsTop kTop logprobsTop p