Intern-AI

Researched today

24 models across 6 families · Latest: InternVL 2 (2024-08)

Innovative AI research for societal impact

Long contextVisionChina

Intern-AI's portfolio covers 24 active models across 6 non-obsolete families, with task labels spanning long context and vision. Open a model detail page to compare provider routes and sourced benchmarks.
Portfolio context: 2 decision-task tags, 24 active tracked models, latest research stamp 2026-05-22.

Use this portfolio page for

Teams evaluating long context and vision across this lab's releases
Readers comparing families before locking a flagship SKU
24 tracked SKUs for migration and pricing follow-ups

Do not stop here for

Choosing a hosting provider without opening a model page for price ladders

Active models

Non-deprecated SKUs linked to this researcher

Active families

Non-obsolete families in coverage

Open catalog

6 OSS

0 open-weight (text match)

Decision task tags

Mapped to the site-wide task taxonomy

Latest dated release

2024-08-06

InternVL 2

Freshness

2026-05-22

Researched today

fresh

Release cadence

Showing 5 recent dated ships (full timeline below). Latest spotlight: InternVL 2 (2024-08-06).

Where this lab wins

Long-context: 4 tracked models with context-token or InfiniteBench-class signal.
Vision: 2 tracked models with multimodal benchmark coverage.

Flagship quality / price signal

Anchor SKU: InternLM 20B (best sourced coding Q/$ in this portfolio).

Quality / dollar unavailable for this anchor — missing benchmark coverage and/or output token price on the cheapest ladder route (open the model detail after pricing lands).

Intern-AI is a Chinese AI research organization founded in 2023. Innovative AI research for societal impact. Intern-AI ships 6 model families totaling 24 models, with the most recent release InternVL 2 in 2024-08. Notable families include InternVL, InternLM2, and InternLM2-Math. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can scan counts, links, release history, and source references without leaving the directory.

About

Intern-AI appears to be an AI researcher or organization focused on pushing the boundaries of generative AI and Large Language Models (LLMs). Though specific details about Intern-AI are elusive, one can imagine the pivotal role they might play in the AI sector. In the rapidly evolving landscape of generative AI, Intern-AI could be exploring innovative algorithmic approaches to enhance the capabilities of LLMs. These models are designed to understand and generate human-like text, and Intern-AI might be at the cutting edge of improving their linguistic fluency and contextual understanding. Whether through novel architectures, training methodologies, or optimization techniques, Intern-AI could be contributing significantly to the field. Additionally, Intern-AI might be engaged in interdisciplinary research, blending AI with fields such as cognitive science and linguistics to create more sophisticated AI solutions. Collaborations with academia and industry can further highlight their commitment to advancing AI technology and addressing real-world challenges. Though specific insights into their projects remain unavailable, Intern-AI's endeavors in generative AI and LLMs potentially position them as a key player in shaping future AI innovations.