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Foundation, generative, multimodal and specialised models.
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2026
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Oct 29, 2026
AGIBOT GO-3 Preview
GO-3 Preview is an embodied AI model that AGIBOT announced in October 2026, built on a World Reasoning Action Model; the company says it topped three embodied AI benchmarks and will fully open-source it by the end of 2026.
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Oct 28, 2026
NVIDIA Nemotron 3.5 Transcribe
Nemotron 3.5 Transcribe is Nvidia's free, open-weight speech transcription model, released on 28 October 2026. It handles recordings up to an hour long, transcribes up to 40 languages and can separate up to eight speakers.
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Jul 23, 2026
FLUX 3
FLUX 3 is a multimodal model family from Black Forest Labs, announced on 23 July 2026, covering images, video, audio and action prediction. Its video model became generally available on 4 August 2026.
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Jul 8, 2026
Robostral Navigate
Robostral Navigate is Mistral AI's first embodied navigation model: an 8-billion-parameter system that steers wheeled, legged or flying robots from RGB images and a plain-language instruction, using a single ordinary camera and no depth sensor.
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Apr 16, 2026
π0.7 (pi-zero-point-seven)
π0.7 is a general-purpose robot manipulation model from Physical Intelligence that matches fine-tuned specialists on a wide range of dexterous tasks while following new language commands and recombining learned skills in unfamiliar settings.
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Mar 16, 2026
NVIDIA Isaac GR00T N2 (preview)
NVIDIA previewed Isaac GR00T N2, a next-generation robot foundation model built on a world action model architecture that the company says more than doubles success on new tasks compared with leading VLA models.
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Mar 16, 2026
NVIDIA Isaac GR00T N1.7
An open reasoning vision-language-action model from NVIDIA for humanoid robots, announced in March 2026 as commercially usable and trained on large public robot manipulation datasets.
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Mar 11, 2026
Reka Edge
Reka Edge is a 7-billion-parameter vision-language model from Reka AI, released on 11 March 2026, built to take images, video and text and to run locally on laptops, phones and small edge devices.
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Feb 12, 2026
GLM-5
GLM-5 is Zhipu's open model released on 12 February 2026 under the MIT License, with 744 billion parameters and 40 billion active. It was built for agentic engineering.
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Feb 11, 2026
iFlytek Spark X2
A large language model released by iFlytek on 11 February 2026, trained entirely on domestic computing power and aimed at practical use in education, healthcare, automotive and agents.
2025
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Dec 15, 2025
NVIDIA Nemotron 3 (Nano, Super, Ultra)
NVIDIA Nemotron 3 is an open family of hybrid mixture-of-experts language models, announced in December 2025 in Nano, Super and Ultra sizes, with up to one million tokens of context.
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Dec 11, 2025
Runway GWM-1
GWM-1 is Runway's first general world model: an autoregressive system that generates 720p video frame by frame in real time and can be steered with camera pose, robot commands or audio.
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Dec 2, 2025
Ministral 3
Three small dense models from Mistral AI — 3B, 8B and 14B — released in December 2025 under Apache 2.0, each in base, instruct and reasoning variants with image understanding.
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Nov 20, 2025
Olmo 3
Olmo 3 is the third generation of the Allen Institute for AI's fully open language models, announced on 20 November 2025 in 7B and 32B dense Transformer sizes, with a 65,536-token context and all datasets openly available.
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Nov 19, 2025
SAM 3 (Segment Anything Model 3)
SAM 3 is Meta's segmentation model from November 2025. It finds, segments and tracks every instance of a concept named by a short text prompt or an example image, and Meta reported it doubles the accuracy of existing systems on this task.
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Nov 17, 2025
π*0.6 (pi-star-zero-point-six)
A robot model from Physical Intelligence trained on demonstrations, human corrections and its own autonomous experience, reported to make espresso, fold laundry and assemble boxes with over 90% success.
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Nov 6, 2025
iFlytek Spark X1.5
iFlytek's Spark X1.5 is a deep reasoning model released in November 2025 that runs on a domestic computing platform built with Huawei, using a 293-billion-parameter mixture-of-experts design.
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Oct 20, 2025
DeepSeek-OCR
DeepSeek-OCR is an open-source model of about 3B parameters that renders long text as 2D images and reads it back from a small number of vision tokens, testing whether optical compression can stand in for very long text contexts.
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Sep 29, 2025
DeepSeek-V3.2-Exp
An experimental DeepSeek model released on 29 September 2025 that introduced DeepSeek Sparse Attention to make long-context training and inference cheaper, shipped with open weights and an immediate API price cut.
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Sep 25, 2025
Gemini Robotics 1.5
A pair of robotics models announced by Google DeepMind in September 2025: Gemini Robotics 1.5, a vision-language-action model that reasons in natural language before it moves, and Gemini Robotics-ER 1.5, an embodied-reasoning planner that can call tools.
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Sep 2025
GLM-4.6
GLM-4.6 is an open-weights large language model released by Zhipu in late September 2025, with a 200K-token context window, about 357 billion parameters and an MIT licence, aimed at coding, reasoning and agent work.
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Aug 20, 2025
NVIDIA Nemotron Nano 2
Nemotron Nano 2 is NVIDIA's 9B reasoning model, built on a hybrid Mamba-Transformer design and released with open weights and most of its training data; NVIDIA reports much higher throughput than similar-sized models.
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Jul 25, 2025
Step 3
Step 3 is StepFun's open multimodal reasoning model, with 321 billion total parameters and 38 billion active per token. It was released in July 2025 and uses Apache 2.0.
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Jul 8, 2025
SmolLM3
SmolLM3 is a 3-billion-parameter open model released by Hugging Face on 8 July 2025. It supports six languages and up to 128K tokens of context, with switchable reasoning, under Apache 2.0.
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Jul 2025
Skild Brain
Skild Brain is Skild AI's general-purpose foundation model for robots, trained in a universe of 100,000 different machines and meant to be fitted to existing hardware rather than built for one task.
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Apr 22, 2025
π0.5 (pi-zero-point-five)
π0.5 is a vision-language-action model from Physical Intelligence, released in April 2025, built to generalize to unfamiliar homes and trained by co-training on many kinds of robot and web data.
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Mar 18, 2025
NVIDIA Isaac GR00T N1
Isaac GR00T N1 is an open foundation model for humanoid robots that NVIDIA announced on 18 March 2025. It is designed to be post-trained for a specific robot or task, and it pairs a planning model with quick motion control.
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Mar 13, 2025
OLMo 2 32B
The largest model in Ai2's OLMo 2 family: a 32-billion-parameter language model released with its data, code, weights and training details, and reported to outperform GPT-3.5-Turbo and GPT-4o mini on academic benchmarks.
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Mar 12, 2025
Gemini Robotics
Gemini Robotics is a vision-language-action model from Google DeepMind, built on Gemini 2.0, that outputs physical actions to control robots. It was announced on 12 March 2025 alongside Gemini Robotics-ER.
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Mar 10, 2025
AgiBot GO-1 (Genie Operator-1)
A general-purpose embodied foundation model released by AgiBot on 10 March 2025, built on a Vision-Language-Latent-Action architecture. In the company's tests across five tasks it raised average success rate from 46% to 78%.
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Mar 6, 2025
Mistral OCR
Mistral OCR is a document-understanding API released by Mistral AI on 6 March 2025 that reads text, tables, equations and embedded media across thousands of scripts and languages, and was later superseded by newer OCR versions.
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Feb 20, 2025
Figure Helix
Helix is Figure's vision-language-action model for humanoid control, pairing a 7-billion-parameter vision-language model with a fast 80-million-parameter action policy, trained on about 500 hours of teleoperated data and run entirely on onboard GPUs.
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Jan 15, 2025
iFlytek Spark X1
iFlytek Spark X1 is a Chinese deep-reasoning model released in January 2025 and trained entirely on domestic computing hardware, with later upgrades benchmarked against OpenAI's reasoning models.
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Jan 6, 2025
NVIDIA Cosmos world foundation models
NVIDIA Cosmos is a platform of world foundation models that generate physics-based video to train robots and autonomous vehicles, released as open-weight models in January 2025.
2024
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Dec 26, 2024
DeepSeek-V3
DeepSeek-V3 is an open-weight mixture-of-experts language model that DeepSeek released in December 2024. Each token uses 37 billion of its 671 billion parameters, and DeepSeek describes its chat model as comparable to leading closed-source systems.
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Dec 12, 2024
Phi-4
Phi-4 is Microsoft's 14-billion-parameter dense decoder-only language model, built with a data-quality-first recipe heavy on synthetic data and released with full weights under the MIT licence in January 2025.
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Nov 26, 2024
OLMo 2
OLMo 2 is the second generation of the Allen Institute for AI's fully open language model family, released in 7B and 13B sizes with weights, data, code and training recipes all public.
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Nov 2024
SmolLM2
SmolLM2 is Hugging Face's second family of small language models, released in November 2024 at 135M, 360M and 1.7B parameters, with open weights and a data-centric training recipe.
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Oct 31, 2024
π0 (pi-zero)
π0 is a generalist robot policy from Physical Intelligence, built by adapting a 3-billion-parameter vision-language model with flow matching so one model can output fast, continuous motor commands for dexterous manipulation.
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Oct 16, 2024
Ministral 3B and 8B
Ministral 3B and Ministral 8B are two small Mistral AI language models released on 16 October 2024 for on-device and edge use, offering long context, low API prices and, for the 3B, performance Mistral claimed beat its earlier 7B model.
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Sep 25, 2024
Molmo
Molmo is a family of open vision-language models released by Ai2 on 25 September 2024 that can point at objects in images, with weights, code, data and evaluations published openly.
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Jul 29, 2024
SAM 2 (Segment Anything Model 2)
SAM 2 is Meta's 2024 successor to the Segment Anything Model. It segments objects in both images and videos in real time, and its release included the SA-V video dataset.
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Jul 18, 2024
Mistral NeMo
Mistral NeMo is a 12-billion-parameter language model released by Mistral AI with NVIDIA in July 2024, notable for a 128K-token context window, a new multilingual tokenizer called Tekken, and an Apache 2.0 release.
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Jul 16, 2024
SmolLM
SmolLM is a family of small language models with 135M, 360M and 1.7B parameters, released openly by Hugging Face in July 2024 for on-device use and trained on a purpose-built corpus of generated textbooks, code and filtered web text.
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Jun 27, 2024
iFlytek Spark V4.0
iFlytek's large language model released on 27 June 2024 and trained entirely on a domestic platform co-built with Huawei; iFlytek presented it as reaching GPT-4 level while acknowledging weaker coding and multimodal abilities.
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Jun 14, 2024
Nemotron-4 340B
Nemotron-4 340B is a family of open models from NVIDIA, released on 14 June 2024 as base, instruct and reward models. It was built to generate synthetic data for training other language models, and it fits on a single eight-GPU DGX H100.
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Jun 13, 2024
OpenVLA
OpenVLA is a 7-billion-parameter open-source vision-language-action model trained on 970,000 real robot demonstrations, released with checkpoints and code so that other groups can fine-tune and run it on their own robots.
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May 2024
Octo
Octo is an open-source generalist robot policy: a transformer-based diffusion model trained on 800,000 robot trajectories that can drive a range of robots out of the box and be fine-tuned to new setups.
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Apr 22, 2024
OpenELM
OpenELM is a family of small open language models from Apple, published in four sizes from 270M to 3B parameters with its training framework, logs, checkpoints and MLX conversion code.
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Mar 18, 2024
Project GR00T
NVIDIA's project for a general-purpose foundation model for humanoid robots, announced in March 2024 and followed in March 2025 by Isaac GR00T N1, an open, customizable model released with training data and evaluation scenarios.
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Feb 28, 2024
StarCoder2
StarCoder2 is a family of open code models in 3B, 7B and 15B sizes, released in February 2024 by BigCode (Hugging Face and ServiceNow) with NVIDIA and trained on The Stack v2, published together with its dataset and training code.
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Feb 1, 2024
OLMo
OLMo is the Allen Institute for AI's open language model, released on 1 February 2024 in 1B and 7B sizes with its Dolma training data, training code, logs and checkpoints, all under Apache 2.0.
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Feb 2024
Aya 101
Aya 101 is a 13-billion-parameter, instruction-tuned language model from Cohere For AI that follows instructions in 101 languages. It was released under Apache 2.0 in February 2024.
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Jan 30, 2024
iFlytek Spark V3.5
Spark V3.5 is a large language model that iFlytek released on 30 January 2024. It was the first Spark model trained entirely on the domestic FlyingStar One computing platform, and iFlytek compared it with GPT-4 Turbo.
2023
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Dec 12, 2023
Phi-2
Phi-2 is a 2.7-billion-parameter base language model from Microsoft Research, announced on 12 December 2023. Microsoft reported that it matched or beat models up to 25 times larger on complex benchmarks, making it a reference point for small-model training.
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Dec 6, 2023
Gemini 1.0 (Ultra, Pro, Nano)
Gemini 1.0 is the first generation of Google DeepMind's multimodal model family, announced on 6 December 2023 in Ultra, Pro and Nano sizes; Google reported its Ultra version as the first model to beat human experts on MMLU.
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Nov 29, 2023
GNoME (Graph Networks for Materials Exploration)
GNoME is a Google DeepMind deep-learning tool, announced on 29 November 2023, that predicts new inorganic crystals; it produced 2.2 million candidate structures, of which 380,000 were predicted to be stable.
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Sep 11, 2023
Phi-1.5
Phi-1.5 is a 1.3-billion-parameter language model from Microsoft Research, trained on curated synthetic "textbook" text rather than web crawls; its report claims natural-language performance comparable to models five times larger.
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Jul 28, 2023
RT-2 (Robotic Transformer 2)
RT-2 is a vision-language-action model from Google DeepMind, announced on 28 July 2023, that turns images and text instructions into robot actions written as text tokens. In over 6,000 trials it reached 62% on unseen scenarios, up from 32% for RT-1.
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Jun 20, 2023
Phi-1
Phi-1 is a 1.3-billion-parameter Transformer language model for Python from Microsoft Research, which showed that filtered and synthetic "textbook quality" training data can partly substitute for model and data scale.