Claude

OpenAI's conversational AI

OpenAI's flagship conversational AI platform with 400M+ weekly active users, powered by GPT-5, GPT-4o, and reasoning models (o3, o4-mini). Handles text, code, image analysis, voice conversations, and web search in one interface. Features Advanced Voice Mode, DALL-E image generation, file analysis, Custom GPTs, memory for personalization, and Deep Research for multi-step investigation. Available on web, iOS, Android, macOS, and Windows with free and paid tiers (Plus, Pro, Team, Enterprise).

Google's multimodal AI model

Google's multimodal AI platform with models from Flash (fast) to Pro and Ultra (most capable). Natively processes text, images, audio, video, and code with up to 2M token context windows. Integrated across Google Search, Workspace, Android, and Chrome. Features Deep Research for multi-step investigation, Gems for custom personas, and NotebookLM for document analysis. Available free via web/mobile apps and as a paid API through Google AI Studio and Vertex AI.

AI-powered answer engine with real-time citations

AI search engine that provides sourced, citation-backed answers by searching the web in real time. Pro tier unlocks unlimited queries, file uploads, and access to GPT-4o, Claude, and Sonar models. Available on web, iOS, Android, and as an API. The leading AI-powered search alternative that combines the convenience of conversational AI with the reliability of cited, verifiable sources.

OpenAI coding agent for app, editor, terminal, and cloud work

Codex is OpenAI's coding agent for software development across the Codex app, editor, terminal, and cloud tasks. It helps write, review, debug, refactor, and automate code, with ChatGPT plan access for managed surfaces and API-key usage for CLI, SDK, and IDE workflows. The open-source CLI and SDK support local repository work, while cloud features add GitHub review, Slack/Linear integrations, worktrees, skills, MCP, and automations.

Heterogeneous CPU-GPU inference and SFT for large MoE models

Open-source framework for running and fine-tuning large Mixture-of-Experts models with heterogeneous CPU-GPU execution, optimized kernels, limited VRAM and SGLang or LLaMA-Factory integrations.

Hugging Face's open-source inference server for embeddings, rerankers, and classifiers

Text Embeddings Inference is Hugging Face's Apache-2.0 server for high-throughput embedding, reranking, and sequence-classification models. TEI packages token-based dynamic batching, optimized Transformers kernels, Safetensors loading, OpenAI-compatible embedding endpoints, Prometheus metrics, and configurable OpenTelemetry tracing in deployable CPU and GPU images.

Open-source toolkit for quantizing, deploying, and serving LLMs and vision-language models

LMDeploy is an Apache-2.0 toolkit for self-hosting LLM and vision-language model inference with TurboMind and PyTorch engines. It combines continuous batching, blocked KV cache, tensor parallelism, AWQ and KV-cache quantization with OpenAI-compatible APIs, multi-GPU distribution, offline pipelines, and production metrics.

Multi-agent model API that orchestrates frontier models behind one OpenAI-compatible endpoint

Sakana Fugu is a hosted model-provider API that exposes a learned multi-agent system as one OpenAI-compatible model. It dynamically routes coding, code review, research, and reasoning tasks across a frontier-model pool, with Fugu for lower-latency work and Fugu Ultra for harder workloads where answer quality matters more than cost or speed.

Lifelike AI voice generation, cloning, and voice agents

ElevenLabs is an AI voice platform for text-to-speech, voice cloning, and conversational AI agents, built on models like Multilingual v2 and the low-latency Flash v2.5 and Turbo v2.5. Developers call its API to generate lifelike narration, clone voices from short audio samples, dub content across 30+ languages, add sound effects, and deploy real-time voice agents for customer service, IVR, and interactive apps, with SDKs for Python, JavaScript, and more.