Amazon Bedrock

Alibaba's flagship open-source foundation model family covering Qwen (text), Qwen-VL (vision-language), Qwen-Audio, and Qwen-Coder — accessible via the DashScope API with chat, completion, embeddings, and function-calling endpoints

AWS-built foundation model family covering text (Micro, Lite, Pro, Premier), image generation (Canvas), and video generation (Reel) — accessed through the Bedrock runtime with tight pricing and low-latency streaming, launched at re:Invent 2024

Enterprise access to OpenAI models including GPT-4, GPT-3.5, and DALL-E with Azure security, private networking, regional deployments, and pay-as-you-go or provisioned throughput

HIPAA-compliant conversational AI platform for healthcare with a built-in clinical knowledge graph, triage scenarios, symptom checker, and compliance tooling for building patient-facing chat experiences grounded in medical ontologies

Globally-distributed vector database for RAG, similarity search, and recommendations with native Workers AI integration, up to 5M vectors per index, metadata filtering, and cosine / Euclidean / dot-product similarity

Serverless GPU-backed AI inference at the edge running a catalogue of open-source text, image, speech, and embedding models (Llama, Mistral, Stable Diffusion, Whisper, BGE) with pay-per-neurone pricing and direct binding from Workers code

End-to-end AI platform (formerly MLflow + Mosaic ML) for training, fine-tuning, deploying, and monitoring foundation models and custom ML models on the Lakehouse

Serverless vector database built into the Lakehouse for similarity search, RAG applications, and recommendation systems with automatic embedding sync from Delta tables

Unified platform to build, deploy, and scale ML models with AutoML, custom training on TPUs and GPUs, model registry, pipelines, feature store, and generative AI studio

Direct API access to Google's most capable multimodal AI models with text, image, audio, and video understanding, long context windows, and function calling support

Conversational AI platform with Dialogflow CX for complex multi-turn state-machine agents and Dialogflow ES for simpler intent-based bots, integrated with Google's generative playbooks, Contact Center AI, and omnichannel messaging connectors

Conversational AI for building chatbots and virtual agents with visual dialogue builder, intent and entity detection, voice integration via phone, and multi-channel deployment

Enterprise AI studio for training, validating, tuning, and deploying foundation models and traditional ML models, with IBM's Granite model family, Hugging Face integration, prompt lab, synthetic data generation, and governance via watsonx.governance

Kakao's Korean-first foundation-model family (Kanana Flash / Essence / Nano) for chat, code, and embeddings — multilingual but tuned for Korean conversational performance

Naver's HyperCLOVA X foundation-model platform for Korean-language LLM workloads — chat completion, embeddings, function calling, RAG over Korean text with strong native-language performance

Fully managed service offering Cohere and Llama large language models

Managed inference for open-source LLMs (Llama, Mistral, DeepSeek) hosted in EU datacentres

Fully managed AI and ML service offering hosted LLMs, vector search, and ML functions inside Snowflake SQL

Tencent's in-house family of large language models (Hunyuan-Pro, Standard, Lite, plus multimodal Hunyuan-Vision) accessible via the Hunyuan API, with enterprise-grade context windows up to 256K, function calling, embeddings, and tuning