Models

Claude 3.5 Sonnet, released on 20 June 2024, was the first model of the Claude 3.5 family. It ran twice as fast as Claude 3 Opus at the mid-tier price and powered the new Artifacts and Projects features.

Large language modelsEnterpriseConsumer apps

An open-source mixture-of-experts code model from DeepSeek, released in June 2024, that widened language coverage and context length over its predecessor and reported benchmark results above several closed models.

Large language modelsOpen sourceChina

Codestral is Mistral AI's family of code models, first released in May 2024 as an open-weight 22B-parameter model with a 32K context window, followed by faster and longer-context versions aimed at IDE code completion.

Large language modelsDeveloper toolsCode

Gemini 1.5 Flash is a lightweight, fast model in Google's Gemini 1.5 family, announced on 14 May 2024 and trained by distillation from 1.5 Pro, with a 1-million-token context window.

Large language modelsMultimodalDeveloper tools

Snowflake's open-weight model with 480 billion total and 17 billion active parameters, built as a dense-MoE hybrid, released in April 2024 under Apache 2.0 and trained for under 2 million dollars.

Large language modelsOpen sourceEnterprise

Grok-1.5 is xAI's upgrade to Grok-1, with better reasoning and a 128,000-token context window. Its companion Grok-1.5V was xAI's first multimodal model. Neither model's weights were released publicly.

Large language modelsMultimodalReasoning

DBRX is Databricks' openly licensed large language model, a mixture-of-experts transformer with 132 billion total parameters and 36 billion active per token, announced on 27 March 2024.

Large language modelsOpen sourceEnterprise

Step-1V is a roughly 100-billion-parameter multimodal model from StepFun, unveiled in March 2024, that reads text, data and charts in images and supports video understanding; it ranked first on OpenCompass at launch and was succeeded by Step-1.5V.

Large language modelsChinaMultimodal

Claude 3 Haiku is the smallest and fastest model in Anthropic's Claude 3 family, announced in March 2024 with low per-token pricing, a 200K-token context window and image input; retired in April 2026.

Large language modelsEnterpriseMultimodal

Claude 3 Sonnet was the middle model of Anthropic's Claude 3 family, announced on 4 March 2024. It powered the free tier of claude.ai, offered a 200K-token context window, and was retired on 21 July 2025.

Large language modelsEnterpriseConsumer apps

Claude 3 Opus, announced on 4 March 2024, was the most capable model in the Claude 3 family. It added vision and launched with a 200K-token context window and a Needle In A Haystack recall above 99%.

Large language modelsEnterpriseMultimodal

StarCoder2 is a family of open code models in 3B, 7B and 15B sizes, released in February 2024 by BigCode (Hugging Face and ServiceNow) with NVIDIA and trained on The Stack v2, published together with its dataset and training code.

Large language modelsOpen sourceData & datasets

Qwen1.5 is the Qwen family's open model release of February 2024, with base and chat models from 0.5B to 72B parameters, later extended to 110B, and a mixture-of-experts model.

Large language modelsOpen sourceChina

Yi-VL-34B and Yi-VL-6B are open vision-language models from 01.AI, released on 23 January 2024. They read images and text together and ranked first among open models on the MMMU and CMMMU benchmarks.

Open sourceChinaMultimodal

FunSearch is a method that uses a pretrained large language model inside an evolutionary loop to search for programs that solve mathematical and computational problems, rather than for answers directly. It produced new results on the cap set problem and on online bin packing.

Deep learningReasoningScience

GPT-4 Turbo is a cheaper, more capable version of OpenAI's GPT-4, announced on 6 November 2023 with a 128,000-token context window and lower API prices.

Large language modelsEnterpriseMultimodal

DeepSeek's first model release: a family of open-source code models from 1.3B to 33B parameters, trained from scratch on 2 trillion tokens and reported to beat Codex and GPT-3.5 on several benchmarks.

Large language modelsOpen sourceChina

Fuyu-8B is a decoder-only multimodal model that Adept open-sourced in October 2023; it drops the image encoder, accepts arbitrary resolutions, and reads screens and charts.

Open sourceAgents & tool useMultimodal

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.

Large language modelsMultimodalSafety & governance

Qwen-VL is a family of vision-language models released in August 2023 that builds on the Qwen language model to caption images, answer questions about them, locate objects and read text, with open Base and Chat versions.

Open sourceChinaMultimodal

Code Llama is a family of coding models that Meta released in August 2023 by further training Llama 2 on code. It ranges from 7 billion to 70 billion parameters and uses the Llama 2 community license.

Large language modelsOpen sourceDeveloper tools

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

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.

MultimodalRoboticsComputer vision

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

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

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

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

Flamingo is a DeepMind visual language model announced in April 2022. It takes prompts that mix images, videos and text and replies in language, learning new tasks from only a few examples.

Large language modelsResearch historyMultimodal

GPT-3.5 is the family of OpenAI language models between GPT-3 and GPT-4, released through API models such as text-davinci-002 and text-davinci-003 and underlying the first version of ChatGPT.

Large language modelsFoundation modelsProduct history

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.

Large language modelsResearch historyCode

Jurassic-1 is the first family of large language models from AI21 Labs, announced with the AI21 Studio developer platform in August 2021. Its largest model, Jumbo, has 178 billion parameters.

Large language modelsFoundation modelsDeveloper tools

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

AlexNet is the eight-layer convolutional network that won the ILSVRC2012 image classification task by a wide margin, showing that a large network trained on a large labelled dataset with GPUs could beat hand-designed features.

Research historyDeep learningComputer vision