fal.ai

Run and deploy ML models via API with simple pricing

Cloud platform that lets developers run thousands of open-source and proprietary public ML models through a simple API without managing GPUs or infrastructure. Replicate hosts models for image, text, audio, and video, supports Cog-based custom deployments and private models, and now operates as a distinct Cloudflare brand with pay-by-time or input/output pricing depending on the model.

Open-weight inference, fine-tuning, and GPU-cloud platform

Together AI is a cloud platform for running, fine-tuning, batching, and training open-weight AI models. It supports serverless inference, dedicated endpoints, LoRA and full fine-tuning, GPU clusters, code-execution sandboxes, and async batch jobs up to 30B tokens per model. Current docs list fast-moving families such as Qwen, Kimi, GLM, GPT-OSS, DeepSeek, Llama, MiniMax, and Mistral.

Anthropic's frontier AI assistant

Anthropic's AI assistant known for strong reasoning, nuanced writing, and extended context up to 200K tokens. Available in Opus (most capable), Sonnet (balanced), and Haiku (fast) tiers. Features web search, deep research, file analysis, code execution, artifacts, and Projects for organized workflows. Claude Code provides terminal-based agentic coding. API supports tool use, batch processing, and prompt caching. Available via claude.ai, mobile apps, and developer API.

OpenAI's conversational AI

OpenAI's flagship conversational AI platform powered by the GPT-5 model family and o3 reasoning engines, delivering advanced multimodal intelligence, autonomous deep research, code execution, and enterprise collaboration.

Ultra-fast LPU inference for open-weight models

Groq is an AI inference provider built around custom Language Processing Unit (LPU) hardware for low-latency open-weight model serving. GroqCloud exposes an OpenAI-compatible API for Llama, GPT-OSS, Qwen, Kimi, DeepSeek, Gemma, Whisper, and related models, with high token-throughput positioning, model-specific rate limits, and usage-based pricing.

High-throughput LLM serving engine

vLLM is an Apache-2.0 LLM inference and serving engine focused on high-throughput self-hosted model APIs. It combines PagedAttention, continuous batching, prefix caching, quantization options, OpenAI-compatible serving, structured outputs, metrics, Docker/Kubernetes deployment guidance and integrations with agent and LLM frameworks.

Direct API access to Claude models with tool use

Official API for Claude models including Opus, Sonnet, and Haiku. Supports tool use, computer use, extended thinking, and batch processing. Features prompt caching, streaming, and Messages API with vision capabilities. Known for strong performance on complex reasoning tasks, nuanced instruction following, and safety-conscious design that makes it trusted for enterprise and production applications.

Low-cost reasoning and coding models with V4 API options

Chinese AI research lab developing low-cost reasoning and coding models with a fast-moving hosted API surface. Current API docs foreground DeepSeek V4 Flash and V4 Pro with thinking/non-thinking modes, OpenAI- and Anthropic-compatible endpoints, 1M context, JSON output, tool calls, and chat-prefix/FIM options. Free chat assistant and API access are available, while open-weight/self-hosting claims should be checked against current model repositories.