Models

ERNIE 5.5 Flash Base is Baidu's openly published base checkpoint from November 2026: a text-only sparse mixture-of-experts model with 280B total and 14B activated parameters, released for fine-tuning rather than as a finished assistant.

Large language modelsOpen sourceChina

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.

ChinaFoundation modelsRobotics

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.

Open sourceMultimodalHardware & compute

PLaMo 3 Translate is a family of translation-specialised language models from Preferred Networks, released in four sizes from 0.8B to 31B parameters, covering 53 languages and shipping in several quantised formats.

Large language modelsOpen sourceFoundation models

LFM3-Omni-2B is Liquid AI's first omni-modal model in the LFM3 family: one 2.17-billion-parameter model that reads text, images, video and audio and answers in text or speech.

Large language modelsOpen sourceConsumer apps

Jais-3-375B-A23B is an open-weight Arabic-focused mixture-of-experts model from the Institute of Foundation Models: 375 billion parameters stored, 23 billion active per token, a 512,000-token context window and Apache 2.0 weights.

Large language modelsOpen sourceAgents & tool use

K2 Horizon is a family of six open language models from the Institute of Foundation Models, released in September 2026 with weights, code, training data and recipes under the Apache 2.0 licence.

Large language modelsOpen sourceAgents & tool use

Step 5 Preview is a preview release of StepFun's flagship foundation model: a sparse mixture-of-experts system with 600 billion total parameters, a 1-million-token context window and published weights, released in September 2026.

Large language modelsChinaAgents & tool use

Granite 4.2 is IBM's open-weight model generation, released on 25 August 2026 in 3B, 8B and 30B dense sizes, with a reasoning-capable 8B model under the permissive Apache-2.0 licence.

Large language modelsOpen sourceEnterprise

Qwen3.8 is Alibaba's 2026 flagship line. Its open 2.4-trillion-parameter model, Qwen3.8-2.4T-A95B, released in August 2026, has 95B active parameters and a custom license.

Large language modelsOpen sourceChina

Apple Foundation Models 3 (AFM 3), published on 8 June 2026, is a family of five models: two on-device models, including a sparse 20B multimodal model, and three cloud models, one of which is optimised for NVIDIA GPUs.

Large language modelsConsumer appsFoundation models

MAI-Thinking-1 is Microsoft AI's flagship reasoning model, launched on 2 June 2026 at Microsoft Build. Microsoft said it was preferred to Anthropic's Claude Sonnet 4.6 in blind human evaluations, and that developers could fine-tune its weights for the first time.

Large language modelsEnterpriseFoundation models

MiniCPM5 is a series of small, dense, open-weight language models from the MiniCPM team, beginning with a 1B model released in May 2026 and followed by a 2B model in September 2026, all aimed at on-device and other resource-constrained deployment.

Large language modelsOpen sourceChina

ERNIE 5.1 is Baidu's large language model released on 9 May 2026, derived from ERNIE 5.0's pre-training at about 6% of the usual pre-training cost, and it placed at the top of Chinese models on LMArena text and search.[^1][^3]

Large language modelsChinaAgents & tool use

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.

Foundation modelsMultimodalRobotics

EXAONE 4.5 is LG AI Research's first open-weight vision language model: a 33-billion-parameter model with a 1.2-billion-parameter vision encoder, trained on documents and text, with a 256K-token context window, released in April 2026.

Large language modelsOpen sourceFoundation models

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.

Foundation modelsRoboticsHumanoid robots

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.

Open sourceFoundation modelsRobotics

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.

Large language modelsChinaEnterprise

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.

Large language modelsOpen sourceAgents & tool use

Solar Open 100B is Upstage's open-weight mixture-of-experts language model for English and Korean, released in December 2025 with 102.6 billion total parameters, 12 billion active per token, and a custom licence.

Large language modelsOpen sourceEnterprise

Tencent's flagship model released in December 2025, offered in Think and Instruct versions, built on a 406-billion-parameter mixture-of-experts architecture with a 256K-token context window.

Large language modelsChinaFoundation models

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.

Large language modelsOpen sourceMultimodal

Mistral AI's flagship model of the Mistral 3 family, released in December 2025: a sparse mixture-of-experts model with 675B total parameters, open weights under Apache 2.0, and image understanding.

Large language modelsOpen sourceFoundation models

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.

Large language modelsOpen sourceReasoning

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.

Open sourceFoundation modelsData & datasets

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.

Foundation modelsRoboticsReasoning

ERNIE 5.0 is Baidu's natively omni-modal foundation model, unveiled in November 2025 and described as having 2.4 trillion parameters. It is proprietary and was made available to enterprises and consumers in January 2026.

Large language modelsChinaFoundation models

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.

Large language modelsChinaReasoning

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.

Open sourceChinaMultimodal

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.

Large language modelsOpen sourceChina

LongCat-Flash is a 560-billion-parameter Mixture-of-Experts language model from Meituan's LongCat team, which activates roughly 27 billion parameters per token and was released with open weights under the MIT license.

Large language modelsOpen sourceChina

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.

Large language modelsOpen sourceChina

Qwen3-Max is Alibaba's proprietary trillion-parameter language model, released in September 2025 and served through Alibaba's API. It is the Max-tier flagship that followed Qwen2.5-Max.

Large language modelsChinaFoundation models

Microsoft AI's first foundation model trained entirely in-house, announced on 28 August 2025. A mixture-of-experts text model, it opened for public testing on LMArena and was presented as one of several specialised models Microsoft intends to coordinate.

Large language modelsConsumer appsFoundation models

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.

Large language modelsOpen sourceReasoning

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.

Open sourceChinaMultimodal

Megrez2-3x7B-A3B is a mixture-of-experts language model from Infinigence AI built for on-device deployment, in which groups of adjacent layers share one pool of experts so that it stores 7.5 billion parameters but activates only 3 billion per token.

Large language modelsOpen sourceChina

A 14.74-billion-parameter Korean-English reasoning model released by NAVER in July 2025, built by compressing a larger model and training it with a four-stage reasoning recipe at a fraction of the cost of comparable models.

Large language modelsOpen sourceFoundation models

EXAONE 4.0 is LG's family of large language models, released as a 32B model and a 1.2B on-device model, merging chat usability with a reasoning mode and adding tool use and Spanish support.

Large language modelsOpen sourceFoundation models

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.

Large language modelsOpen sourceReasoning

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.

EnterpriseDeep learningFoundation models

MiniCPM4 is a language model built for end-side devices rather than servers, pairing a trainable sparse attention mechanism with a compact data recipe and an inference stack tuned for long-context speed.

Large language modelsOpen sourceChina

Apple Foundation Models (2025) are the second generation of Apple's models. They add image understanding and a mixture-of-experts server design, and they open an on-device model to developers through the Foundation Models framework.

Large language modelsFoundation modelsMultimodal

Sarvam-M is Sarvam AI's open-weights 24-billion-parameter model, post-trained from Mistral Small for eleven Indian languages. It runs in think and non-think modes and reports large gains on Indic, maths and coding benchmarks.

Large language modelsOpen sourceFoundation models

Aurora is a foundation model for the Earth system, trained on more than a million hours of geophysical data. It outperforms operational forecasts for weather, air quality, ocean waves and tropical cyclone tracks at far lower computational cost.

Deep learningFoundation modelsScience

Falcon-H1 is a family of open-weight language models that runs Transformer attention and state space layers in parallel, released in sizes from 0.5B to 34B parameters under the Falcon-LLM Licence.

Large language modelsOpen sourceFoundation models

ERNIE 4.5 Turbo is Baidu's multimodal large language model released on 25 April 2025, presented as a faster successor to ERNIE 4.5 with lower hallucination rates and sharply cut API prices.

Large language modelsChinaFoundation models

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.

Deep learningFoundation modelsMultimodal

Llama 4 Behemoth is a very large Meta model previewed on 5 April 2025 as the teacher for the Llama 4 family. It was never publicly released.

Large language modelsFoundation modelsMultimodal

Llama 4 Maverick is a mixture-of-experts model Meta released alongside Scout on 5 April 2025, with 400 billion total parameters and a 1-million-token context. Its ranking on LMArena was later questioned.

Large language modelsOpen sourceFoundation models

Llama 4 Scout is a mixture-of-experts model Meta released on 5 April 2025. It has 109 billion total parameters, 17 billion of them active for each token, and a context window of 10 million tokens.

Large language modelsOpen sourceFoundation models

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.

Open sourceFoundation modelsRobotics

ERNIE 4.5 is Baidu's native multimodal foundation model, released on 16 March 2025 and handling text, images, audio and video. In June 2025 Baidu open-sourced ten models from the family under the Apache License 2.0.

Large language modelsOpen sourceChina

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.

Large language modelsOpen sourceData & datasets

Command A is Cohere's 111-billion-parameter model, released in March 2025 with a 256k-token context window. Cohere said it runs on two GPUs and delivers 150% higher throughput than Command R+ 08-2024.

Large language modelsEnterpriseAgents & tool use

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%.

ChinaFoundation modelsMultimodal