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Models

Foundation, generative, multimodal and specialised models.

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2026

  • Apr 2, 2026 MAI-Transcribe-1

    A speech-to-text model from Microsoft AI released in April 2026 that transcribes 25 languages, runs Copilot's Voice Mode, and starts at $0.36 per hour of audio.

    EnterpriseMultimodalCloud

2025

2024

  • Dec 3, 2024 Amazon Nova

    Amazon Nova is Amazon's family of foundation models, introduced on 3 December 2024 and offered exclusively in Amazon Bedrock. It spans text understanding models from Micro to Pro, plus Canvas for images and Reel for video, and was succeeded by Nova 2 in December 2025.

    Large language modelsEnterpriseMultimodal

  • Oct 22, 2024 Stable Diffusion 3.5

    A family of text-to-image models from Stability AI, announced in October 2024: the 8.1-billion-parameter Large, a 4-step Turbo variant and the 2.5-billion-parameter Medium, released under a community licence.

    Open sourceGenerative modelsCreative tools

  • Sep 5, 2024 Hunyuan Turbo

    Hunyuan Turbo is Tencent's large language model, released on Tencent Cloud in September 2024 and tuned for lower training and serving costs. It was succeeded in February 2025 by Hunyuan Turbo S, which cut API prices further.

    Large language modelsChinaEnterprise

  • Jul 23, 2024 Llama 3.1 (including 405B)

    Llama 3.1, released on 23 July 2024, added a 405-billion-parameter model to the Llama 3 family and extended its context to 128,000 tokens. Meta called the 405B the largest and most capable openly available foundation model.

    Large language modelsOpen sourceFoundation models

  • 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.

    Open sourceFoundation modelsMultimodal

  • May 15, 2024 Doubao model family (Doubao Pro, 2024)

    ByteDance's Doubao model family, launched through Volcano Engine in May 2024, offered general-purpose, speech and image models at prices far below rivals, helping set off a price war among Chinese providers.

    Large language modelsChinaEnterprise

  • Apr 18, 2024 Llama 3

    Llama 3 is an open model family from Meta, released on 18 April 2024 at 8 billion and 70 billion parameters. It was pretrained on over 15 trillion tokens of publicly available data.

    Large language modelsOpen sourceFoundation models

  • Apr 4, 2024 Command R+

    Cohere's 104-billion-parameter language model, announced in April 2024, is tuned for retrieval-augmented generation and multi-step tool use in business settings; it launched first on Microsoft Azure and was also released as open weights.

    Large language modelsEnterpriseAgents & tool use

  • Feb 26, 2024 Mistral Large

    Mistral Large is the French company Mistral AI's first flagship proprietary large language model, released on 26 February 2024 with a 32K-token context window, native fluency in five languages, and built-in function calling and JSON output.

    Large language modelsEnterpriseCloud

  • Feb 22, 2024 Stable Diffusion 3

    Stable Diffusion 3, announced by Stability AI on 22 February 2024, is a suite of 800 million to 8 billion parameter models that pairs a diffusion transformer with flow matching.

    Open sourceGenerative modelsCreative tools

  • Feb 21, 2024 Gemma

    Gemma is a family of lightweight open language models from Google DeepMind, released in February 2024 in 2B and 7B sizes, built from the same research and technology as Gemini and offered for commercial use under Google's terms.

    Large language modelsOpen sourceDeveloper tools

2023

2022

2021

  • Dec 8, 2021 Gopher

    Gopher is DeepMind's 280-billion-parameter language model, announced in December 2021 alongside a study of what scale does to language models and a companion taxonomy of their risks.

    Large language modelsResearch historyEurope

  • Oct 11, 2021 Megatron-Turing NLG 530B

    Megatron-Turing NLG 530B is a 530-billion-parameter language model announced by NVIDIA and Microsoft on 11 October 2021, then the largest monolithic transformer language model, trained on NVIDIA's Selene supercomputer with Megatron-LM and DeepSpeed combined.

    Large language modelsFoundation modelsHardware & compute

  • Jul 5, 2021 ERNIE 3.0

    ERNIE 3.0 is a 10-billion-parameter pre-trained language model from 2021 that trains on plain text plus a large-scale knowledge graph and fuses auto-encoding and auto-regressive networks, so one model handles both language understanding and generation.

    Large language modelsResearch historyChina

  • May 18, 2021 LaMDA

    LaMDA is a family of conversational language models that Google announced in 2021 and described in a 2022 paper, notable for its work on safety and factual grounding in dialogue and for later powering Bard.

    Large language modelsResearch historyConsumer apps

  • Jan 5, 2021 CLIP

    An image-text model from OpenAI that learns to match pictures with their captions. Trained on about 400 million image-caption pairs, it can classify images by comparing them against written prompts, with no task-specific training.

    Open sourceFoundation modelsMultimodal

  • Jan 5, 2021 DALL·E

    DALL·E is OpenAI's text-to-image model unveiled on 5 January 2021: a 12-billion-parameter transformer trained on 250 million text-image pairs that generates a picture token by token from a caption.

    MultimodalGenerative modelsCreative tools

2020

  • May 28, 2020 GPT-3

    GPT-3 is an autoregressive language model with 175 billion parameters, described in a May 2020 paper. It could perform new tasks from a few examples in the prompt, without any gradient updates, and it was first offered through OpenAI's API.

    Large language modelsResearch historyFoundation models

  • Jan 28, 2020 Meena

    Meena is a 2.6-billion-parameter open-domain chatbot from Google, trained end-to-end on filtered social media conversations. Its 2020 paper introduced the SSA human-evaluation metric and linked next-token perplexity to human-judged chat quality. The work was later renamed LaMDA.

    Large language modelsResearch historyConsumer apps

2019

2018

  • Oct 11, 2018 BERT

    BERT is a language model from Google that reads text in both directions and is pre-trained by filling in masked words. Fine-tuned per task, it set new records on question answering and language-understanding benchmarks and later went into Google Search.

    Large language modelsResearch historyOpen source

  • Jun 11, 2018 GPT-1

    GPT-1 was OpenAI's first generative pre-trained transformer, published in June 2018. It showed that one language model, pre-trained on unlabelled text and then fine-tuned, could improve results on many language tasks.

    Large language modelsResearch historyOpen source