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Models

Foundation, generative, multimodal and specialised models.

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2023

  • Aug 15, 2023 iFlytek Spark V2.0

    SparkDesk V2.0 is the second version of iFlytek's large language model, launched on 15 August 2023 with upgraded coding and multimodal abilities, and released alongside the iFlyCode 1.0 programming assistant.

    Large language modelsChinaFoundation models

  • Aug 3, 2023 Qwen (Tongyi Qianwen, 2023)

    Qwen, known in Chinese as Tongyi Qianwen (通义千问), is Alibaba's family of large language models. Its first open-weight model, Qwen-7B, was released on 3 August 2023, and the family has grown through many later versions.

    Large language modelsOpen sourceChina

  • Aug 2023 Skylark (Yunque)

    Skylark, or Yunque (云雀), is ByteDance's first large language model. Released in August 2023, it powered the Doubao chatbot and was relaunched in May 2024 as the Doubao model family.

    Large language modelsChinaFoundation models

  • Jul 18, 2023 Llama 2

    Meta's family of open-weight language models released in July 2023 in 7B, 13B and 70B sizes, each with a dialogue-tuned Chat variant, issued under a custom licence that allowed free research and commercial use.

    Large language modelsOpen sourceEnterprise

  • Jul 11, 2023 Claude 2

    Claude 2 is the second major version of Anthropic's assistant model, released on 11 July 2023 with better performance and longer responses. It was the first Claude model open to the general public.

    Large language modelsEnterpriseConsumer apps

  • Jul 2023 Baichuan-13B

    An open-source 13-billion-parameter language model from Baichuan, released in Base and Chat versions in July 2023, trained on 1.4 trillion tokens and benchmarked against Meta's LLaMA-13B.

    Large language modelsOpen sourceChina

  • 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.

    Large language modelsOpen sourceData & datasets

  • Jun 2023 ERNIE 3.5

    ERNIE 3.5 is a Baidu large language model announced in June 2023 as the upgrade behind the ERNIE Bot chatbot, adding a plugin architecture and, according to Baidu, outperforming ChatGPT on several benchmarked abilities.

    Large language modelsChinaConsumer apps

  • Jun 2023 Baichuan-7B

    Baichuan-7B is an open-source, 7-billion-parameter language model for Chinese and English released in June 2023, the first model from Baichuan, trained on about 1.2 trillion tokens and evaluated on Chinese and English benchmarks.

    Large language modelsOpen sourceChina

  • May 10, 2023 PaLM 2

    PaLM 2 is Google's second-generation Pathways language model, announced on 10 May 2023 in four sizes and used across more than 25 Google products, including Bard.

    Large language modelsEnterpriseConsumer apps

  • May 6, 2023 iFlytek Spark (V1.0)

    SparkDesk is iFlytek's cognitive large model, unveiled on 6 May 2023 as the company's answer to ChatGPT in education and enterprise uses, built on Huawei Ascend chips and followed by rapid version updates through 2024.

    Large language modelsChinaEnterprise

  • May 4, 2023 StarCoder

    StarCoder is an open-access code language model of about 15.5 billion parameters, released on 4 May 2023 by the BigCode project led by Hugging Face and ServiceNow.

    Large language modelsOpen sourceData & datasets

  • Apr 19, 2023 Stable LM

    Stable LM is Stability AI's family of open language models, first released in April 2023 as 3B- and 7B-parameter alpha versions under licenses that allow commercial use of the base models and research-only use of the instruction-tuned ones.

    Large language modelsOpen sourceFoundation models

  • Apr 13, 2023 Amazon Titan

    Amazon Titan is a family of foundation models built by Amazon for Amazon Bedrock, covering text generation, embeddings and image generation. It was announced in 2023 and later succeeded by Amazon Nova.

    Large language modelsEnterpriseCloud

  • Apr 10, 2023 SenseNova

    SenseNova is SenseTime's family of foundation models, unveiled on 10 April 2023 with a chatbot, an image generator and an avatar video generator, first offered to government and corporate clients rather than the public.

    Large language modelsChinaEnterprise

  • Apr 3, 2023 Pythia

    Pythia is a suite of 16 open language models from EleutherAI, ranging from 70 million to 12 billion parameters, all trained on the same data in the same order, with 154 public checkpoints from each training run.

    Large language modelsResearch historyOpen source

  • Mar 14, 2023 Claude Instant

    A lighter, cheaper and faster version of Anthropic's Claude model, released in 2023 for business use through the API and retired in November 2024.

    Large language modelsEnterpriseProduct history

  • Mar 14, 2023 Claude (March 2023)

    Claude is the AI assistant Anthropic announced on 14 March 2023, its first publicly available assistant. It was built around training AI to be helpful, honest and harmless, and it started the Claude model line.

    Large language modelsEnterpriseConsumer apps

  • Mar 14, 2023 GPT-4

    GPT-4 is OpenAI's large multimodal model, released on 14 March 2023. It accepts image and text input, scored near the top of human test-takers on a simulated bar exam, and was succeeded by GPT-4 Turbo, GPT-4o and GPT-5.

    Large language modelsFoundation modelsMultimodal

  • Mar 9, 2023 Jurassic-2

    Jurassic-2 is a family of large language models released by AI21 Labs in March 2023 as the successor to Jurassic-1, offered in three sizes with instruction-tuned variants, multilingual support and task-specific APIs; it was succeeded by Jamba in 2024.

    Large language modelsFoundation modelsDeveloper tools

  • Mar 1, 2023 GPT-3.5 Turbo

    GPT-3.5 Turbo was the chat-optimised GPT-3.5 model OpenAI released through its API on 1 March 2023, priced at a tenth of the cost of earlier models and later replaced in ChatGPT by GPT-4o mini.

    Large language modelsConsumer appsProduct history

  • Feb 24, 2023 LLaMA

    A family of foundation language models from Meta AI, released in 7B to 65B parameter sizes and trained on public data; its 13B model was reported to beat GPT-3 on most benchmarks.

    Large language modelsOpen sourceFoundation models

  • 2023 ChatGLM-6B

    An open bilingual chat model from Zhipu AI and Tsinghua KEG with about 6.2 billion parameters, small enough to run on one consumer GPU, with weights fully open for research.

    Large language modelsOpen sourceChina

  • 2023 Cohere Command

    Cohere's first flagship instruction-following generative model, released in 2023 and distributed through Cohere's API and cloud marketplaces such as Amazon SageMaker JumpStart and Oracle Cloud Infrastructure, later superseded by Command R and deprecated in 2025.

    Large language modelsEnterpriseFoundation models

2022

2021

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