#
Foundation-Model
AI tools tagged Foundation-Model.
abab6.5
MiniMax's proprietary flagship model prior to its open-weight pivot
ALBERT
Google's parameter-sharing variant of BERT designed for efficiency at scale
Apple Foundation Model
Apple's on-device and server foundation models powering Apple Intelligence
Baichuan 3
Baichuan's proprietary flagship model succeeding the open-weight Baichuan 2
Baichuan 4
Baichuan's flagship Chinese-language foundation model
Claude 1
Anthropic's first publicly released Claude model
Claude 2
Anthropic's second-generation Claude, ahead of the Claude 2.1 refresh
Claude 3 Haiku
Anthropic's fastest model in the original Claude 3 family
Claude 3 Opus
Anthropic's 2024 flagship, the top tier of the original Claude 3 family
Claude 3 Sonnet
The balanced mid-tier of Anthropic's original Claude 3 lineup
Claude 3.5 Haiku
Anthropic's fast, affordable model matching the prior Claude 3 Opus on some benchmarks
Claude 3.5 Sonnet
The 2024 Claude release that popularized computer-use agent capabilities
Claude Haiku 4.5
Anthropic's fastest and cheapest current-generation model
Claude Sonnet 4
Anthropic's mid-tier Claude 4 model, balancing coding strength with everyday cost
Claude Sonnet 5
The first Sonnet-class Claude model to top Anthropic's flagship writing benchmarks
CLIP
OpenAI's foundational image-text contrastive model that underlies much of modern multimodal AI
Codex
OpenAI's original code-completion model that powered early GitHub Copilot
ELECTRA
Google's more sample-efficient pretraining approach using a replaced-token-detection objective
ELMo
AI2's deep contextualized word representation model that predated the transformer era
ERNIE 4.0
Baidu's flagship model prior to the 4.5 generation
Gemini 3 Pro
Google's flagship multimodal model with a 2M-token context window
GLM-4-Plus
Zhipu's proprietary flagship tier alongside the open-weight GLM line
GPT-1
OpenAI's original 2018 paper model that introduced the GPT architecture
GPT-3
The 2020 model that first showed large-scale few-shot learning was possible
GPT-3 Davinci
The largest of the original GPT-3 model sizes
GPT-3.5 Turbo
The model that powered ChatGPT's original public launch
GPT-4
The 2023 release that reset expectations for what LLMs could do
GPT-4 Turbo
Faster, cheaper successor to GPT-4 with a larger context window
GPT-4.5
OpenAI's largest pre-GPT-5 model, tuned for natural conversation
GPT-4o
OpenAI's omni model, natively multimodal across text, image, and audio
GPT-5
OpenAI's unified reasoning and chat model family
GPT-5.6 Terra
OpenAI's balanced GPT-5.6 tier for everyday coding, reasoning, and agentic tasks
Grok 3
xAI's 2025 model trained on the Colossus supercomputer
Grok 4
xAI's 2025 flagship reasoning model
Grok-2
xAI's 2024 model that added native image generation
HyperCLOVA X
Naver's flagship model tuned for Korean language and culture
Inflection-2.5
Inflection's model built to power the empathetic Pi assistant
InstructGPT
OpenAI's 2022 model that introduced RLHF instruction-tuning at scale
Jurassic-1
AI21's first large language model, a GPT-3 era contemporary
Jurassic-2
AI21's earlier proprietary large language model line
Jurassic-2 Mid
The mid-sized tier of AI21's Jurassic-2 family, preceding the Jamba architecture switch
Llama 3.1 405B
Meta's largest dense open-weight model, competitive with closed frontier models
Llama 3.1 70B
The mid-sized tier of Meta's Llama 3.1 release, between the 8B and 405B models
Llama 3.3
Meta's efficient 70B open-weight model matching larger predecessors
Mistral Large 2
Mistral's 2024 flagship model, the generation preceding Mistral Large 3
Mistral Large 3
Mistral's flagship frontier-tier language model
Mistral Medium 3
Mistral's mid-tier model balancing cost and frontier-level performance
PaLM
Google's 2022 540B-parameter model that set the stage for Gemini
PaLM 2
Google's 2023 large language model that powered the original Bard
Qwen-7B
Alibaba's original Qwen release that started the model family
Qwen-Max
Alibaba's largest proprietary Qwen tier, served via API only
Qwen2.5-72B
Alibaba's widely-deployed dense open-weight model
Qwen2.5-Max
Alibaba's largest proprietary MoE model, positioned against GPT-4o and DeepSeek-V3
RoBERTa
Meta's robustly-optimized retraining of BERT that improved on it across benchmarks
Samsung Gauss 2
Samsung's in-house foundation model powering Galaxy AI features
SenseChat 5
SenseTime's flagship general-purpose foundation model
Spark 4.0
iFlytek's flagship Chinese-language foundation model
Step-1
StepFun's earlier flagship model that preceded Step-2
text-davinci-003
The last and most capable of OpenAI's original GPT-3.5 completion models
XLNet
A permutation-based autoregressive pretraining model that outperformed BERT on many tasks
Yi-Large
01.AI's flagship proprietary model, competitive with GPT-4-class models on Chinese benchmarks