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Models
Foundation, generative, multimodal and specialised models.
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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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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.
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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 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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Dec 2, 2025
Amazon Nova 2
Amazon Nova 2 is the second generation of Amazon's Nova models, released at AWS re:Invent in December 2025. Its first member, Nova 2 Lite, is a fast reasoning model available in Amazon Bedrock with a 1-million-token context.
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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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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 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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Sep 2025
Qwen3-Max
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.
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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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May 1, 2025
Falcon-H1
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.
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Apr 30, 2025
Amazon Nova Premier
Amazon Nova Premier is the most capable model of the first Nova generation, available in Amazon Bedrock from 30 April 2025. It handles text, images and video with a 1-million-token context window, and also serves as a teacher model for smaller Nova models.
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Apr 8, 2025
Amazon Nova Sonic
A speech-to-speech foundation model in Amazon's Nova family, announced on 8 April 2025, which handles recognition, understanding and speech generation in a single model rather than a chain of separate ones.
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Mar 21, 2025
Hunyuan-T1
Hunyuan-T1 is Tencent's deep-reasoning model, officially released on 21 March 2025 and built on the Hunyuan-TurboS base. Tencent did not release its weights.
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Feb 27, 2025
Hunyuan Turbo S
Hunyuan Turbo S is a fast-thinking model released by Tencent on 27 February 2025, built on a hybrid Mamba-Transformer design with 560 billion total parameters. Its weights were not released.
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Jan 28, 2025
Qwen2.5-Max
Qwen2.5-Max is Alibaba's large mixture-of-experts model, announced in January 2025. It was offered through Qwen Chat and the Alibaba Cloud API, and its weights were not released.
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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.
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 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.
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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.
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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 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.
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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.
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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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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 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 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.
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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.
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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.
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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.
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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.
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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.
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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 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 3, 2023
Grok-1
Grok-1 is xAI's first large language model, announced on 3 November 2023 as the engine of the Grok chatbot. Its 314-billion-parameter weights were released openly in March 2024.
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Sep 27, 2023
Mistral 7B
Mistral AI's first model: a 7.3-billion-parameter language model released in September 2023 under the Apache 2.0 license, built to match much larger models on standard benchmarks.
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Sep 7, 2023
Tencent Hunyuan
Hunyuan is Tencent's first proprietary large foundation model, unveiled in September 2023 and offered to enterprises through Tencent Cloud. The line was later branded Hy.
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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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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.
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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.
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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.
2022
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Dec 13, 2022
RT-1 (Robotics Transformer)
RT-1 is a transformer-based model for real-world robot control, trained on over 130,000 episodes collected with 13 robots and reported to perform more than 700 language instructions at a 97% success rate.
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May 3, 2022
OPT-175B (Open Pre-trained Transformer)
OPT-175B is a 175-billion-parameter language model from Meta AI, announced in May 2022. Meta said it was the first model of its size released with both pretrained weights and the code to train and use them.
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Apr 4, 2022
PaLM
PaLM is a 540-billion-parameter dense Transformer language model announced by Google Research in April 2022, trained with the Pathways system across 6,144 TPU v4 chips; it set strong few-shot results on many benchmarks.
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Feb 2, 2022
AlphaCode
AlphaCode is a DeepMind code-generation system for competitive programming, announced in February 2022. On Codeforces contests held after its training data, it reached an estimated rank around the median participant. A Gemini-based AlphaCode 2 followed in December 2023.
2021
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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.
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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.
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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.
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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.
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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.
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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.
2020
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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.
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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.
2019
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Oct 23, 2019
T5 (Text-to-Text Transfer Transformer)
T5 is a family of Google Transformer models that recasts every language task as text in, text out. Its 11-billion-parameter version set state of the art on several benchmarks, and the code, models and C4 dataset were released openly.
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Jul 29, 2019
ERNIE 2.0
ERNIE 2.0 is Baidu's pre-trained language model framework, published in 2019, which builds pre-training tasks incrementally through continual multi-task learning and reported results above BERT and XLNet on English and Chinese benchmarks.
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Mar 2019
ERNIE 1.0
Baidu's first ERNIE pre-trained language model, released in March 2019, added entity- and phrase-level masking to BERT-style pre-training and reported state-of-the-art results on five Chinese NLP tasks.
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Feb 14, 2019
GPT-2
GPT-2 is a large language model that OpenAI announced in February 2019. Its largest version has 1.5 billion parameters. OpenAI first withheld the full model, then released it in stages through November 2019.
2018
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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.
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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.