Which LLM inference APIs can agents call reliably, without phone verification or captchas? We rated every major model provider on discovery, account creation friction, agent tooling quality, reliability, and pricing model. Ranked by Agent Native Score.
GPT-4, o1, DALL-E, Whisper, and Embeddings APIs. The most widely adopted AI API with extensive ecosystem support.
European LLM provider with strong function calling and agent capabilities. Mistral Large and Codestral are top-tier models for code-heavy agents.
LPU-based LLM inference at 500+ tokens/second. OpenAI-compatible API. Runs Llama, Gemma, Mixtral, Whisper, and other open models.
Google's Gemini API for developers. Gemini 1.5 Pro has 1M context window and native function calling. Available via Google AI Studio or Vertex AI.
Claude API. State-of-the-art language models with native tool use, computer use, and MCP support built in.
Search-augmented LLM inference API. Models return answers with citations from live web search โ ideal for agents that need current information.
Enterprise NLP platform. Command-R models optimized for retrieval-augmented generation and tool use. Strong structured output support.
Ultra-fast LLM inference. Runs Llama-3 and other open models at 2000+ tokens/sec โ an order of magnitude faster than GPU clouds.
CDN, DDoS protection, DNS, Workers (serverless), KV, R2 storage, AI Gateway, and more. Extensive free tier.
Inference API for open-source models (Llama, Mistral, Qwen, etc.). OpenAI-compatible API, fast inference, and fine-tuning support.
ML model hub with 500k+ models. Serverless inference API, Spaces for demos, Datasets hub, and Inference Endpoints for dedicated hosting.
Run ML models via REST API โ image generation, audio, video, text, and custom models. Pay per prediction, no GPU management.
Add Agent Native Registry as an MCP server. Your agents can search, compare, and select tools at runtime.
claude mcp add --transport http agentnative https://agentnativeregistry.com/api/mcp