LLM API routers, gateways, serving infrastructure, and model hosting. Tools that sit between your app and one or more language models.
Our editors' top LLM Gateways & Serving picks for 2026 are OpenRouter (best for Route to any LLM through one API), Groq (best for Ultra-low-latency model inference), and TOGETHER (best for Host and fine-tune open models). All 31 tools in this category are hand-reviewed and re-checked each edition — the full ranked directory is below.







Fastest generative AI platform for developers — 1,000+ image, video, audio, and 3D models with optimized real-time inference. Default home for FLUX, SAM, MuseTalk.

Nebius is an AI-native GPU cloud platform that rents NVIDIA H100 through GB200 clusters with managed Slurm, Kubernetes and an inference API.

Ollama is a local LLM runtime that downloads, runs, and serves open models on your own hardware via a CLI and an OpenAI-compatible API.

CoreWeave specializes in delivering GPU-accelerated compute resources on a massive scale, optimizing performance on a flexible infrastructure.

Cloud service for developers to build with open-source AI, offering APIs, distributed training systems, and leading open-source models.

Enterprise-scale AI solutions for ultra-fast language processing and inference.

High-speed, cost-efficient generative AI for product innovation with advanced fine-tuning capabilities.

Cloud platform for running, deploying, and scaling machine learning models with ease.

Globally distributed GPU cloud for AI tasks.

Modal offers an easy way for developers to run code in the cloud with serverless compute and containerized environments.

FluidStack: On-demand GPU servers for ML, rendering, and general compute tasks.

Unified API and marketplace for the best LLMs at the best prices for any prompt.

Unified compute platform for scalable AI and Python applications using Ray

Universal LLM proxy — call 100+ LLMs (OpenAI, Anthropic, Bedrock, Vertex) with one API.

Declarative AI platform for engineers to fine-tune and serve ML models.

Enterprise AI gateway and platform to deploy, govern and scale LLMs, agents and MCP tools on any cloud.

Kong is an AI connectivity platform that secures, manages, and monetizes API and AI token traffic.

Envoy-based enterprise AI gateway routing traffic across models with per-team agent cost attribution.

Not Diamond is a model routing layer that selects the right LLM for each query to raise quality and cut costs.

Sail Research is an inference platform that pairs low-cost model serving with stateful agent sandboxes.

Voltage Park is a GPU cloud platform that rents NVIDIA H100 and Blackwell clusters on-demand or on dedicated reserve for AI training and inference.
Cloud-native AI inference platform built by Caffe creator Yangqing Jia. Acquired by NVIDIA in May 2025 to power the inference cloud strategy.

Inference orchestration that routes each AI task to the right-sized model, with caching and failover.

Affordable and flexible GPU cloud computing for AI, ML, and rendering.

DeepInfra is an inference cloud that serves open-weight AI models — Llama, DeepSeek, Qwen, Mistral — behind a pay-per-token, OpenAI-compatible API.

AI platform for affordable and flexible GPU cloud computing.

AI-powered platform for building and deploying machine learning models.

Unified LLM gateway to manage clients, track usage, and bill agency AI services.

Platform for software engineers to build AI applications.

FriendliAI is the LLM inference platform behind Friendli Container, Dedicated, and Serverless Endpoints. Competes with Together AI and Fireworks.

Kindo is the secure enterprise GenAI gateway — single SSO into multiple LLMs with policy, logging, and data-loss prevention. Drive Capital-led.
An LLM gateway is a single API that routes requests to many language models behind one interface, handling keys, fallbacks, and cost tracking. OpenRouter is a common example, letting you switch models without rewriting code. It simplifies comparing providers and avoids lock-in to one vendor.
Groq is known for very low latency using custom hardware, and Fireworks and Together also optimize open-model serving for speed. The fastest choice depends on the model and request pattern, so benchmark on your own prompts. Latency, throughput, and cost trade off differently across providers.
Together AI, Fireworks, and Replicate host open models behind an API so you avoid managing GPUs, while RunPod and Modal give you raw compute to run them yourself. For local use, Ollama runs models on your own machine. Choose based on scale, control, and whether you want managed or self-operated serving.
A gateway like OpenRouter routes requests across providers through one API but does not host the models itself. A serving platform like Fireworks or Together runs the models and returns results. Many teams use a gateway in front of one or more serving platforms to balance cost and reliability.
Tools like Ollama download and run open models on your own hardware with a simple command, exposing a local API your app can call. Local serving keeps data private and removes per-call cost, but it is limited by your GPU or CPU. It suits development, privacy-sensitive use, and smaller models.
Route cheaper requests to smaller or open models, cache repeated responses, and trim prompt length. A gateway like OpenRouter makes it easy to switch models by price and performance, and open-model hosts like Together often cost less than frontier APIs. Match each task to the smallest model that meets quality.
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