Qwen3.8
Qwen3.8 is the name Qwen uses for a model generation that includes hosted services and downloadable checkpoints.
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Qwen3.8 is the name Qwen uses for a model generation that includes hosted services and downloadable checkpoints.
Qwen3.8-Flash-Next is an experimental open-weight multimodal large language model released by Alibaba Group's Qwen team on August 26, 2026.
RFM-1 (Robotics Foundation Model 1) is an 8 billion parameter multimodal transformer for robotic manipulation announced by Covariant on March 11, 2024 at the MODEX 2024 trade show in Atlanta.
RT-2 (Robotic Transformer 2) is a vision-language-action model developed by Google DeepMind that enables robots to execute novel tasks by transferring knowledge from internet-scale vision-language pretraining…
Recraft V3 is a text-to-image generation model developed by Recraft AI and released on October 30, 2024, that became the first model to reach the number-one position on the Artificial Analysis Text-to-Image…
Recursive Flint is a text-only large language model developed by Recursive Superintelligence for coding agents and announced on October 21, 2026.
Reka Core is a frontier class multimodal foundation model developed by Reka AI, a research and product company founded in 2022 by former scientists from DeepMind, Google Brain, Meta FAIR, and Baidu.
Reka Edge is a 7-billion-parameter multimodal language model developed by Reka AI, introduced in April 2024 as the smallest member of the company's first publicly described model family.
Reka Flash is a family of multimodal large language models developed by Reka AI, a San Francisco Bay Area research company founded in 2022 by former researchers from Google DeepMind, Meta FAIR, and Google.
Ring-1T is an open-weight reasoning model released in October 2025 by inclusionAI, the open-source research initiative associated with Ant Group
Robostral Navigate is an 8-billion-parameter vision language model developed by Mistral AI for instruction-following robot navigation.
A robot foundation model is a large-scale machine learning model, typically based on the transformer architecture, that is pre-trained on broad, diverse datasets of robot interactions and then adapted to a…
Robotics models are machine learning systems that give robots the ability to perceive their surroundings, plan actions, and execute motor control.
Rodin Gen-2 is a generative artificial intelligence model for producing three dimensional assets from text prompts or reference images, developed by the Shanghai based company Deemos and delivered through the…
Runway Act-Two is a generative motion capture and character animation model developed by Runway, publicly introduced on July 15, 2025.
Runway Aleph is an in-context AI video editing model from Runway that transforms and edits an existing video clip from a plain-text instruction, performing a wide range of tasks in a single model: adding…
Runway Gen-4 is the fourth-generation video generation model developed by Runway (company), announced and released on March 31, 2025.
Runwayml/stable-diffusion-v1-5 is the Hugging Face repository name of the Stable Diffusion v1.5 checkpoint, a text-to-image latent diffusion model published on October 20
SAM 2 (Segment Anything Model 2) is a promptable visual segmentation model for both images and video developed by Meta AI and released on 29 July 2024.
SKY-001 is Skyfall AI's world model for generating engineering design plans. Introduced on October 19, 2026, it demonstrates computer-aided design (CAD) and building information modeling (BIM).
Sapiens is a family of human-centric computer vision foundation models developed by Meta (Reality Labs), introduced in 2024 and presented as an oral paper at the European Conference on Computer Vision (ECCV)…
SciBERT is a BERT-based language model pretrained from scratch on a large corpus of scientific papers, built by the Allen Institute for AI (AI2).
Seedance is the family of foundation video generation models built by the Seed team at ByteDance, the Chinese internet company that owns TikTok and Douyin.
Seedance 2.0 is a multimodal video generation model developed by ByteDance, released in February 2026 as the second major version of the company's Seedance line.
Seedance 2.5 is a proprietary AI video generation model released by ByteDance on July 31, 2026. It jointly generates audio and video from combinations of text, image, video, and audio inputs.
Seedream is a series of text-to-image and image-editing foundation models built by the Seed research team at ByteDance, the company behind TikTok and Douyin.
Seedream 5.0 is a text-to-image generation model developed by ByteDance, released in February 2026 as the fifth major version of the company's Seedream line.
Segment Anything Model (SAM) is a promptable image segmentation foundation model released by Meta AI on April 5, 2023 that lets users "cut out" any object in an image with a single click, box, or mask prompt…
SenseNova (Chinese: 日日新) is the family of foundation models developed by the Hong Kong-listed AI company SenseTime.
Sentence similarity models are machine learning systems that map natural language sentences to fixed-length numerical vectors (sentence embeddings) so that semantically related sentences sit close together in…
Sentence-BERT (SBERT) is a modification of the pretrained BERT transformer network that produces semantically meaningful, fixed-size sentence embeddings comparable with simple cosine similarity.
Sentence-transformers/all-MiniLM-L6-v2 model
sentence-transformers/all-mpnet-base-v2
Sesame CSM (Conversational Speech Model) is an open weights speech generation model from Sesame AI, a San Francisco startup co-founded by former Oculus chief executive Brendan Iribe.
Shap-E is a conditional generative model for 3D assets developed by OpenAI, introduced in the paper "Shap-E: Generating Conditional 3D Implicit Functions" by Heewoo Jun and Alex Nichol, submitted to arXiv on…
Skild AI is a robotics artificial intelligence company building a general-purpose foundation model for physical embodiments
Skywork-R1V (also written Skywork R1V) is a family of open-weight multimodal vision-language models built for chain-of-thought reasoning, developed by Skywork AI, the AGI and AIGC division of the Chinese…
SmolLM is a family of small, fully open language models released by Hugging Face on July 16, 2024 in three sizes, 135 million, 360 million, and 1.7 billion parameters, all trained on a curated open dataset…
SmolLM 2 is a family of compact open-weight language models released by Hugging Face on November 1, 2024.
SmolLM 3 is a fully open 3 billion parameter language model released by Hugging Face on July 8, 2025, trained on 11.2 trillion tokens and designed as a small, multilingual, long-context reasoner.
SmolVLA (Small Vision-Language-Action) is a compact, open-source vision-language-action model (VLA) for robotics developed by Hugging Face and released in June 2025.
Sora 2 is a text-to-video and audio generation model developed by OpenAI, released on September 30, 2025, that OpenAI called "the GPT-3.5 moment for video." It succeeded the original Sora research preview from…
Stable Audio 2.5 is an enterprise focused text-to-audio generation model released by Stability AI on September 10, 2025.
Starchild-1 is a real-time audio-video world model built by the AI lab Odyssey. It generates synchronized video and sound autoregressively, chunk by chunk, while a user streams new text, speech and action…
State is a machine learning "virtual cell" model developed by the Arc Institute, a nonprofit biomedical research organization, to predict how cells respond to perturbations such as drugs, cytokines, and…
Summarization models are natural language processing systems that condense a source document, set of documents, or dialogue into a shorter version that preserves the most important information.
Suno v5 is the fifth-generation AI music generation model from Suno Inc., the Cambridge, Massachusetts startup, released on September 23, 2025 to Pro and Premier subscribers as what Suno called "the world's…
Synthesia 3.0 is a major release of the AI video generation platform from Synthesia, the London-based company co-founded in 2017 by Victor Riparbelli, Steffen Tjerrild, Lourdes Agapito and Matthias Niessner.
Table question answering models (TableQA models) are machine learning systems that answer natural language questions over structured tabular data such as spreadsheets, database tables, and HTML tables…
Tabular classification models predict a discrete label, or a probability distribution over labels, from rows of a table.
Tabular regression models are machine learning systems that predict a continuous numeric target from a vector of tabular features, where rows are samples and columns are heterogeneous attributes (numeric…
Griffin is Tavus's full-duplex audiovisual model for face-to-face conversation, announced on October 1, 2026. Tavus calls it a Human Interaction Model; Griffin-Lite is the research preview.
Text classification models are machine learning systems that assign one or more predefined categorical labels to a span of natural language text, such as positive vs. negative, spam vs. ham
Text generation models are language models trained to produce coherent natural-language text by predicting tokens one at a time, each conditioned on the preceding context.
Text-to-image models are generative artificial intelligence systems that synthesize a new image from a natural-language description, called a prompt.
Text-to-speech (TTS) models are machine learning systems that convert written text into spoken audio.
Text-to-text (text2text) generation models are a family of neural network systems that frame many natural language processing tasks as a single problem: given an input text string
Toast 1 is a hosted text model from Mixedbread that is specialized for multistep search and evidence synthesis.
Token classification models are natural language processing systems that assign a discrete label to every token in an input sequence, where a token is typically a word, subword piece, or character.
Translation models are computational systems that convert text or speech from a source language into a target language.