# llm-api

Cost-effective AI inference platform with 86+ models from $0.02/M tokens

DeepInfra is an AI inference platform offering 86+ LLM models with pricing starting at $0.02 per million tokens. Backed by $20.6M in funding including an $18M Series A from Felicis Ventures, it provides OpenAI-compatible endpoints for models including DeepSeek, Llama, and Mistral with pay-as-you-go pricing.

Open-source LLM gateway with built-in optimization and A/B testing

TensorZero is an open-source LLMOps platform in Rust that unifies an LLM gateway, observability, prompt optimization, and A/B experimentation in a single binary. It routes requests across providers with sub-millisecond P99 latency at 10K+ QPS while capturing structured data for continuous improvement. Supports dynamic in-context learning, fine-tuning workflows, and production feedback loops. Backed by $7.3M seed funding, 11K+ GitHub stars.

Real-time search API built for AI agents

Tavily is an AI-native search API that provides real-time web search, content extraction, and crawling capabilities specifically designed for LLM applications and autonomous agents. It returns structured, citation-ready results optimized for RAG workflows with built-in safety features including prompt injection protection and PII leak prevention. Acquired by Nebius in 2026, Tavily integrates with LangChain, LlamaIndex, and major agent frameworks, serving over one million developers worldwide.

Run local LLMs with an intuitive desktop GUI and OpenAI-compatible API server.

Free desktop application by Element Labs for discovering, downloading, and running open-source LLMs locally. Features a curated Hugging Face model browser, side-by-side model comparison, parameter tuning, and an OpenAI-compatible API server on localhost:1234. Powered by llama.cpp with Metal acceleration for Apple Silicon.

API for GPT-4, o1, DALL-E, Whisper, and embeddings

Official API platform for GPT-4o, o1/o3 reasoning models, DALL-E image generation, Whisper speech-to-text, and text embeddings. Features Assistants API, function calling, JSON mode, fine-tuning, and batch processing. The most widely used AI API in the industry, powering millions of applications from chatbots to complex multi-step agent systems across every sector.

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.

Google Cloud ML platform with Gemini and custom models

Google Cloud's end-to-end ML platform with Gemini models, Model Garden featuring 150+ models, AutoML, and custom training pipelines. Features Vertex AI Search, Conversation, and Agent Builder for enterprise AI applications. The comprehensive platform for organizations building production AI systems at scale within the Google Cloud ecosystem, with enterprise governance and compliance built in.

OpenAI models with Azure enterprise security

AWS managed ML platform providing the full machine learning lifecycle from data preparation through model deployment and monitoring. Includes SageMaker Studio IDE, JumpStart model hub, and built-in MLOps features. The dominant ML platform for enterprises already invested in AWS, offering deep integration with the broader AWS service ecosystem for end-to-end AI workflows.

Managed foundation models on AWS

Microsoft's cloud AI platform offering Azure OpenAI Service for GPT and DALL-E models with enterprise security, compliance, and regional data residency. Includes AI Studio for model catalog, fine-tuning, and prompt engineering. The default AI platform for Microsoft-centric enterprises that need access to frontier models with the governance and compliance guarantees Azure provides.

Enterprise AI for text generation, search, and RAG

Open-source deployment platform for machine learning models. Package models as standard containers, serve via REST/gRPC APIs, and scale across GPU clusters. Supports all major ML frameworks including PyTorch, TensorFlow, and Hugging Face Transformers. The standard for teams who need reproducible, scalable model serving without vendor lock-in or proprietary infrastructure dependencies.

The GitHub of ML — model hub, datasets, and inference

Open-source platform for building, sharing, and deploying machine learning models and datasets. Hosts 500k+ models, 100k+ datasets, and Spaces for interactive demos. The central hub of the open-source AI ecosystem, providing model discovery, inference APIs, and collaborative tools that make it the GitHub of machine learning for researchers and developers worldwide.

Run and deploy ML models via API with simple pricing

Unified API gateway that provides access to hundreds of LLM models from OpenAI, Anthropic, Google, Meta, and open-source providers through a single OpenAI-compatible interface. Features model fallbacks, price comparison, and community-driven model rankings. The most popular LLM routing service for developers who want multi-provider flexibility without managing individual API integrations.

Production-grade inference with serverless and on-demand GPUs

Open-source model serving platform optimized for large language models and generative AI. Supports Hugging Face models, LoRA adapters, and continuous batching for efficient multi-user serving. Built on PyTorch with OpenAI-compatible endpoints. Designed for teams who need production-grade LLM serving with lower latency and better resource utilization than generic model serving frameworks.

Ultra-fast LPU inference with fastest token generation

Enterprise AI platform for fine-tuning and deploying custom language models. Offers Command R family of models, Embed API for retrieval, and Rerank API for search relevance. Known for strong enterprise features including data privacy guarantees, custom model training, and retrieval-augmented generation capabilities that help organizations build AI applications grounded in their proprietary data.

Fast inference platform for open-source models

Meta's open-source large language model family available for commercial use. Llama 3 models range from 8B to 405B parameters, offering competitive performance with full weight access. Hosted on Hugging Face and available through major cloud providers. The most impactful open-source AI release, enabling companies and researchers to build, fine-tune, and deploy custom AI solutions without API dependencies.

Unified API gateway for 200+ AI models

Chinese AI research lab producing competitive open-source and commercial language models. DeepSeek V3 and R1 offer strong reasoning capabilities at lower costs than Western alternatives. Known for transparent research publications and efficient training techniques. A significant force in making advanced AI capabilities more accessible globally, with models that perform well on coding and mathematical reasoning.

Reasoning-focused LLM with competitive pricing

xAI's conversational AI model with real-time access to X (Twitter) data and web search. Grok models are available via API for developers. Known for its unfiltered personality and willingness to engage with controversial topics. Positioned as a less restricted alternative to other AI assistants, with unique strength in social media analysis and real-time information from the X platform.

Mistral AI chat interface with open-weight models

Chat interface for Mistral AI models including Mistral Large, Codestral, and Pixtral. Features canvas for document editing, web search, and multi-modal capabilities with open-weight models available for self-hosting. A strong European AI alternative with competitive coding and reasoning performance, offering both consumer chat and developer APIs at prices that significantly undercut US competitors.