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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

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Gpu Cloud Rental Inference Providers Hardware Infrastructure Web Agents Foundation Model Providers Llms Foundation Models Model Hosting Inference AI Agents AI Agents Infrastructure

OpenRouter

✓ verifiedFreemium

Unified API gateway that routes requests to 400+ LLMs across 70+ providers with failover and no subscription.

17M visits/mo

Groq

✓ verifiedFreemium

Fast, low-cost AI inference provider running LLMs on custom LPU chips via GroqCloud's pay-as-you-go API.

3.6M visits/mo

Runpod

✓ verifiedPaid

Developer-focused GPU cloud offering on-demand pods, serverless inference and multi-node clusters at per-second pricing for AI workloads.

2.3M visits/mo

Manus

✓ verifiedFreemium

General-purpose autonomous AI agent that plans and runs multi-step tasks such as building sites, slides and research in the cloud.

28M visits/mo89K saves

chatglm.cn

4.4M visits/mo

Pricing

Free: $0 (free models only, 50 requests/day)

Pay-as-you-go: 5.5% platform fee on inference

GPT-OSS 20B: $0.075 per 1M input tokens ($0.30 per 1M output)

GPT-OSS 120B: $0.15 per 1M input tokens

Pods A40 48GB: $0.44/hr

Pods RTX 4090 24GB: $0.69/hr

Pods A100 SXM 80GB: $1.49/hr

Pods H100 SXM 80GB: $2.99/hr

Pods H200 141GB: $4.39/hr

Pods B300 288GB: $7.39/hr

No public pricing

Core features

✦One unified, OpenAI-compatible API for 400+ models
✦Automatic provider failover for higher uptime
✦Edge routing for low latency
✦Custom data and provider policies
✦Pay-as-you-go credits usable across any model

✦LPU custom inference hardware
✦GroqCloud tokens-as-a-service API
✦High-speed, low-latency inference
✦Pay-as-you-go token pricing
✦Free API key to start
✦Broad open-model support

✦On-demand GPU pods across 30+ GPU types and 31 regions
✦Serverless GPU endpoints with sub-200ms cold starts
✦Zero idle cost billing for inference workloads
✦Multi-node clusters for distributed training
✦Persistent network storage for full pipelines
✦Real-time logs, monitoring and autoscaling from 0 to hundreds of workers

✦Autonomous multi-step task execution
✦Website and app building
✦AI slides, design and image generation
✦Manus browser operator
✦Wide Research mode
✦Cross-platform web, desktop and mobile apps

✦Dialogue with GLM large model
✦AI search
✦AI drawing
✦AI reading
✦AI-generated video (沉思清影-AI生视频)
✦AI-generated PPT
✦Data analysis tools
✦Code assistance (代码速写)
✦Intelligent agents

Use cases

→Accessing many LLMs through one integration
→Adding provider redundancy to AI apps
→Comparing model price and performance
→Powering agents and AI-native products

→Running LLM inference at high speed
→Cutting inference costs at scale
→Powering low-latency AI chat apps
→Serving models via a hosted API

→Renting GPUs for model training and fine-tuning
→Deploying low-latency real-time inference APIs
→Running AI agents that need to scale instantly
→Processing compute-heavy batch or distributed workloads

→Automate end-to-end digital tasks
→Produce websites and presentations
→Conduct broad research
→Hand off browser tasks to an agent

→Engaging in conversations with an AI model
→Generating images and videos using AI
→Creating presentations with AI assistance
→Analyzing data with AI tools
→Assisting with code development

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