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Kosmos-2

Grounded multimodal LLM that links text spans to bounding boxes in images.

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About

Kosmos-2, from Microsoft Research in June 2023, added explicit spatial grounding to multimodal large language models. Where earlier VLMs could describe an image but not point at what they meant, Kosmos-2 represents referring expressions as Markdown-style links pairing text spans with bounding-box location tokens, so it can both understand image regions you point to and answer with visual boxes.

It was trained on GRIT, a constructed dataset of roughly 91 million images with 137 million bounding boxes paired to referring expressions, alongside standard multimodal corpora. Microsoft released code and pretrained models, and Kosmos-2 became a foundation for referring-expression comprehension, phrase grounding, and grounded dialogue work. It was an early step toward the embodied-AI convergence of language, perception, and action.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

June 26, 2023

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

visual-groundingreferring-expressionsvision-languageembodied-ai

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 78; Trending score 68/100 from researcher assessment.

Sources