Azure OpenAI Service

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

Build generative AI applications with foundation models from Anthropic (Claude Opus 4.7 from April 2026), Cohere, Meta, Mistral, Stability AI, TwelveLabs (video understanding), and Amazon's own Nova family — accessed via a single API with fine-tuning, knowledge bases, agents, and a model marketplace for discovery and easy onboarding

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

Generative AI assistant family spanning software development (Q Developer, formerly CodeWhisperer), enterprise knowledge retrieval (Q Business), low-code app generation (Q Apps), and contact-centre augmentation (Q in Connect) with grounded answers against your own data

Production runtime for AI agents — managed memory, identity, gateway, observability, and tool integration so teams can ship agentic workflows on top of any framework (Strands Agents, LangGraph, CrewAI, vendor-direct) without rebuilding the operational substrate

Foundation-model service for browser-based agents — purpose-built model and SDK for AI agents that automate form fill, search, booking, QA testing, and other web-UI workflows, distinct from the general-purpose Nova family by being action-oriented rather than chat-oriented

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

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

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