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Foundation, generative, multimodal and specialised models.
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2026
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Nov 5, 2026
ChatGPT Cyber
OpenAI's cybersecurity-focused model, released on 5 November 2026 and limited to the top tier of its Daybreak Red programme; OpenAI says it surfaced 948 potential Linux kernel issues and 81 novel Firefox vulnerabilities.
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Oct 28, 2026
Gemini 4 Carbon
Gemini 4 Carbon is a Google DeepMind frontier model announced on 28 October 2026, two weeks after Gemini 4 Argon, with Google claiming state-of-the-art cybersecurity and long-horizon capabilities.
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Oct 13, 2026
Gemini 4 Argon
Gemini 4 Argon is the first model in Google's Gemini 4 family, announced on 30 September 2026 and made generally available on 13 October 2026, built for long multi-step work and shipped with a one-million-token output limit.
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Sep 29, 2026
GPT-6.1 (Sol and Terra)
OpenAI's late-2026 model family: Sol, released at DevDay on 29 September 2026, and the faster, cheaper Terra on 26 October 2026. A planned Astra version was withheld over safety concerns.
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Sep 21, 2026
Grok 4.7
Grok 4.7 is xAI's September 2026 flagship model for coding and knowledge work, built on a larger base model than Grok 4.6 with longer reinforcement learning and a new safeguard stack, at unchanged token prices.
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Sep 3, 2026
GPT-6 (Astra, Sol, Luna, Instant)
GPT-6 is OpenAI's sixth-generation model family, launched from 3 September 2026 with GPT-6 Astra, followed by Sol, Luna and Instant. Astra was the first OpenAI model to reach its internal critical cybersecurity threshold.
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Sep 2, 2026
Gemini 3.8 Flash
Gemini 3.8 Flash is Google's fast, low-cost model released on 2 September 2026, alongside a cybersecurity variant, Gemini 3.8 Flash Cyber, with introductory pricing that doubles at the start of 2027.
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Sep 1, 2026
Claude Fable 5.1 (and Claude Mythos 5.1)
Claude Fable 5.1, released on 1 September 2026, keeps the $10 and $50 per million token price of Fable 5, with cache reads 75% cheaper. Its sibling Claude Mythos 5.1 is limited to trusted-access programmes.
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Aug 14, 2026
GLM-5.3
GLM-5.3 is Zhipu's open-weight language model released on 14 August 2026. It keeps the GLM-5.2 base model and gains its improvements from post-training, with reported state-of-the-art open results on agentic coding and cybersecurity benchmarks.
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Jul 24, 2026
Claude Opus 5
Claude Opus 5, released on 24 July 2026 at $5 and $25 per million tokens, is Anthropic's most aligned model to date and its most capable generally available model for scientific research.
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Jul 9, 2026
GPT-5.6 (Sol, Terra and Luna)
OpenAI's three-model family released on 9 July 2026 — Luna, Terra and Sol, ordered from least to most capable — with Sol pitched as the company's strongest coding and agent model.
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Jun 9, 2026
Claude Fable 5 (and Claude Mythos 5)
Claude Fable 5 is Anthropic's Mythos-class model for general use, released on 9 June 2026. Its sibling Claude Mythos 5 is the same model with some safeguards lifted for vetted users.
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May 28, 2026
Claude Opus 4.8
Released on 28 May 2026 at the same price as Opus 4.7, Claude Opus 4.8 added a fast mode at 2.5 times the speed, with fewer unnoticed flaws in its own code. Anthropic called it a modest but tangible improvement.
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Apr 23, 2026
GPT-5.5
GPT-5.5 is an OpenAI model released on 23 April 2026 as GPT-5.5 Thinking and Pro, with an API version the next day. It succeeded GPT-5.4 and had a cybersecurity variant in limited preview.
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Apr 16, 2026
Claude Opus 4.7
Released on 16 April 2026 at the same price as Opus 4.6, Claude Opus 4.7 added an xhigh effort level and accepted much larger images. It was the first model to test automatic blocking of high-risk cybersecurity requests.
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Apr 7, 2026
Claude Mythos Preview
Claude Mythos Preview, announced on 7 April 2026, is an unreleased frontier model that Anthropic made available only to restricted partners through Project Glasswing, a programme for securing critical software.
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Feb 12, 2026
Seedance 2.0
ByteDance's video generation model released in February 2026, built to produce picture and sound together from text, image, audio or video inputs, and known for a copyright dispute that paused its global rollout.
2025
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Sep 30, 2025
Sora 2
Sora 2 is OpenAI's second-generation video and audio generation model, unveiled on 30 September 2025 with a social iOS app. OpenAI discontinued Sora in 2026, and its API models were scheduled to shut down in September 2026.
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Sep 29, 2025
Claude Sonnet 4.5
Claude Sonnet 4.5, released on 29 September 2025, was a drop-in replacement for Sonnet 4 at the same price. Anthropic reported that it could stay focused on complex tasks for more than 30 hours.
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Aug 7, 2025
GPT-5
GPT-5 is OpenAI's fifth GPT foundation model, released on 7 August 2025. It pairs a fast model with a deeper reasoning model and a router that chooses between them for each request.
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May 22, 2025
Claude 4 (Claude Opus 4 and Claude Sonnet 4)
Claude Opus 4 and Claude Sonnet 4, announced on 22 May 2025, were hybrid models with extended thinking. Anthropic called Opus 4 the best coding model in the world, and Claude Code became generally available the same day.
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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.
2024
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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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Sep 12, 2024
OpenAI o1
OpenAI o1 is the first reasoning model series from OpenAI, introduced in September 2024. It thinks through a long internal chain of thought before answering, and it was the base for later reasoning models such as o3.
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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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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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Jun 10, 2024
Apple Foundation Models (AFM, 2024)
Apple Foundation Models (AFM, 2024) are the first generation of the models behind Apple Intelligence: a roughly 3-billion-parameter on-device model and a larger server model that runs in Private Cloud Compute.
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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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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.
2023
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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 25, 2023
GPT-4V (GPT-4 with vision)
GPT-4V is a version of GPT-4 that accepts image input alongside text, documented in OpenAI's system card of 25 September 2023 and released to developers through preview API models; image understanding later became native in GPT-4o.
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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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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.
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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.
2022
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Dec 26, 2022
Med-PaLM and Med-PaLM 2
A pair of medical question-answering language models described in arXiv papers of 26 December 2022 and 16 May 2023; the first introduced the MultiMedQA benchmark, and Med-PaLM 2 reached up to 86.5% on MedQA.
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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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Nov 15, 2022
Galactica
Galactica is a large language model for science, unveiled by Meta AI and Papers with Code in November 2022. Its public demo was taken down about three days later, after users found it produced fake papers.
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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.
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Jan 27, 2022
InstructGPT
InstructGPT is a family of GPT-3 models trained with reinforcement learning from human feedback so that they follow user instructions. OpenAI announced them in January 2022 and made them the default models in its API.
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.