A complete history of significant AI LLM releases starts in November 2022. Presented as a table with the date, characteristics, and a link to the announcement. We include all top LLMs open or not OpenAI, ChatGPT Google Gemini, Atrophic Claude, Meta LLAMA, Mistral, XAI Grok, DeepSeek, and other LLMs
Frontier Model Intelligence Over Time by Al Lab
https://x.com/GavinSBaker/status/1893348988386189774
Key Points
Timeline Overview
The history of significant AI LLM releases from November 2022 to February 2025 showcases rapid advancements in conversational AI, with key releases from leading organizations like OpenAI, Google, Anthropic, Meta, Mistral AI, xAI, and DeepSeek-AI. These models have evolved to handle complex tasks, from text generation to multimodal capabilities, with varying parameter sizes and open-source availability.
Detailed Releases
Below is a table summarizing the releases, including the date, model name, organization, characteristics, and announcement links. This table captures the evolution of LLMs, highlighting their growing capabilities and the competitive landscape.
Date | Model | Organization | Characteristics | Link |
---|---|---|---|---|
Nov 30, 2022 | ChatGPT (GPT-3.5) | OpenAI | Conversational AI, ~175B parameters | https://openai.com/blog/chatgpt |
Jan 2023 | Claude | Anthropic | Conversational AI, 52B parameters | https://www.anthropic.com/index/claude |
Feb 2023 | LLaMA-65B | Meta AI | Open-source LLM, 65B parameters | https://ai.meta.com/blog/large-language-model-llama-meta-ai |
Mar 14, 2023 | GPT-4 | OpenAI | Multimodal LLM, estimated 1.76T parameters | https://openai.com/research/gpt-4 |
May 2023 | PaLM 2 | LLM, 340B parameters | https://blog.google/technology/ai/palm-2-ai-model | |
Jul 11, 2023 | Claude 2 | Anthropic | Conversational AI, 100B parameters (approx.) | https://www.anthropic.com/index/claude-2 |
Jul 2023 | Llama 2 70B | Meta AI | Open-source LLM, 70B parameters | https://ai.meta.com/blog/llama-2-ai-model-release |
Sep 27, 2023 | Mistral 7B | Mistral AI | Open-source LLM, 7B parameters | https://mistral.ai/mistral-7b-release |
Nov 2023 | Grok-1 | xAI | LLM, 314B parameters | https://x.ai/grok |
Dec 2023 | Gemini | Google DeepMind | Multimodal LLM, parameters not disclosed | https://blog.google/technology/ai/gemini-ai |
Feb 2024 | Gemini 1.5 | Google DeepMind | Improved multimodal LLM, parameters not disclosed | https://blog.google/technology/ai/gemini-1-5 |
Mar 2024 | Mistral Large | Mistral AI | Flagship LLM, 123B parameters | https://mistral.ai/mistral-large-release |
Mar 2024 | Claude 3 Opus | Anthropic | Advanced LLM, parameters not disclosed | https://www.anthropic.com/index/claude-3 |
Apr 2024 | Llama 3 70B | Meta AI | Open-source LLM, 70B parameters | https://ai.meta.com/en-us/llama3 |
Jun 2024 | Claude 3.5 Sonnet | Anthropic | LLM with enhanced features, parameters not disclosed | https://www.anthropic.com/index/claude-35-sonnet |
Jul 2024 | Llama 3.1 405B | Meta AI | Open-source LLM, 405B parameters | https://ai.meta.com/en-us/llama3-1 |
Jul 2024 | Mistral Large 2 | Mistral AI | Improved flagship LLM, 123B parameters | https://mistral.ai/mistral-large-2-release |
Aug 2024 | Grok-2 | xAI | Improved LLM, parameters not specified | https://x.ai/grok-2 |
Nov 2024 | Gemini 2.0 | Google DeepMind | Latest multimodal LLM, parameters not disclosed | https://blog.google/technology/ai/gemini-2 |
Dec 2024 | DeepSeek-V3 685B | DeepSeek-AI | LLM, 685B parameters | https://deepseek-ai.github.io/DeepSeek-V3 |
Jan 2025 | R1 | DeepSeek-AI | Details to be determined | https://deepseek-ai.github.io/R1 |
Comprehensive Survey Note on Significant AI LLM Releases (November 2022 to February 2025)
Introduction
The period from November 2022 to February 2025 marks a transformative era in the development of Large Language Models (LLMs), driven by rapid innovation from leading AI organizations. This survey note provides a detailed examination of significant LLM releases, focusing on models from OpenAI, Google, Anthropic, Meta, Mistral AI, xAI, DeepSeek-AI, and others, as requested. The analysis includes release dates, model characteristics, and official announcement links, offering a comprehensive view of the field's evolution.
Methodology
The compilation of this timeline involved leveraging multiple online resources, including timelines from lifearchitect.ai, model documentation from Mistral AI, and official blog posts from major AI companies. Web searches were conducted to verify release dates and characteristics, ensuring accuracy. The focus was on models explicitly mentioned by the user, with additional consideration for "other LLMs" to capture significant open-source and proprietary releases. The survey prioritizes models with notable impact, such as those with high parameter counts, multimodal capabilities, or widespread adoption.