Intern-AI

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

Researched 45d ago

Innovative AI research for societal impact

Long contextVisionChina

Intern-AI's portfolio covers 24 active models across 6 current families, spanning long context and vision. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 2 workload areas across 24 active tracked models; last verified 2026-05-22.

Use it for

Teams evaluating long context and vision across this lab's releases
Comparing model families before committing to a flagship
Migration and pricing follow-ups across 24 tracked models

Do not use it for

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

Active models

Current models from this lab, excluding deprecated ones

Active families

Current model families from this lab

Open catalog

24 open

24 open source / 0 open weights

Lowest output price

$0.420 /1M

Cheapest tracked output across active models, per 1M tokens

Latest dated release

2024-08-06

InternVL 2

Freshness

2026-05-22

Researched 45d ago

aging

Information

Founded2023

Shanghai, China

Links

Website GitHub X / Twitter LinkedIn HuggingFace Crunchbase

Release cadence

Showing 5 recent dated releases (full timeline below). Latest: 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

Flagship: InternLM 20B (best sourced coding quality-per-dollar in this portfolio).

Quality-per-dollar unavailable for this flagship — benchmark coverage or output token pricing is still missing.

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. View official API endpoints, benchmark performance, and coding/agent fit for every Intern-AI model.

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.

Featured models

Model	Released	Context	Input price ($/1M)	Output price ($/1M)	License	Openness
InternVL 2	2024-08-06	32k	-	-	Apache 2.0	Open source
InternLM 2 Turbo	2024-06-15	262k	-	-	Apache 2.0	Open source
InternLM2 Math 20B	2024-05-24	4k	-	-	Apache 2.0	Open source