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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 Multimodal Content Generation Apis Model Hosting Inference AI Agents Infrastructure

ZenMux

✓ verifiedPaid

Enterprise unified API gateway giving one integration point to 100+ LLMs like Claude, GPT, and Gemini with reliability guarantees.

435K visits/mo11K saves

AI/ML API

✓ verifiedPaid

Single API and playground for 1000+ AI models (chat, image, video, audio) with pay-as-you-go billing.

223K visits/mo5.7K saves

MimicPC

✓ verifiedFreemium

Cloud platform to run open-source AI apps like ComfyUI and Stable Diffusion and train LoRAs on rented GPUs, billed hourly.

299K visits/mo

Modal

✓ verifiedFreemium

Serverless AI cloud for running inference, training and sandboxes on GPUs with fast cold starts and pay-per-use billing.

988K visits/mo

WaveSpeedAI

✓ verifiedFree trial

Pay-per-use API hub aggregating 1000+ image, video, and audio generation models for developers building AI media pipelines.

2.2M visits/mo

Pricing

No public pricing

Pay As You Go: $20 top-up (pay per use, all models)

Free trial available

Essential: $13.95/mo (+$12 credit)

Advanced: $26.95/mo (+$25 credit)

GPU hardware: from $0.29/hr

Free trial available

Starter: $0/mo + compute ($30 free credit)

Team: $250/mo + compute

Silver: $100 top-up (higher rate limits)

Gold: $1,000 top-up (higher rate limits)

Ultra: $10,000 top-up (highest rate limits)

Free trial available

Core features

✦Unified API for 100+ AI models
✦Intelligent request routing across models
✦AI Model Insurance for quality/reliability guarantees
✦Enterprise-focused LLM access layer

✦One API for 1000+ models
✦OpenAI/Anthropic-compatible endpoints
✦Chat, image, video, audio and embedding models
✦AI playground/sandbox
✦Pay-as-you-go billing across models
✦Enterprise dedicated infrastructure option

✦Pre-installed open-source AI apps (ComfyUI, SD, Fooocus)
✦LoRA and custom model training
✦Image, video, audio, and LLM workflows
✦Hourly GPU rental across several tiers
✦Private storage and shareable workflows
✦No-deployment, browser-based access

✦Serverless GPU compute defined in Python
✦Sub-second container cold starts
✦Autoscale 0 to 1000+ GPUs
✦Inference, training and batch workloads
✦Secure sandboxes for untrusted code
✦Built-in logging and observability

✦Unified API access to 1000+ image/video/audio generation models
✦Pay-per-use pricing billed per image or per second of video
✦Includes chat/LLM model access (Claude, GPT, Gemini, etc.) priced per token
✦Account tiers unlock higher GPU limits and concurrency
✦CLI and desktop app for building workflows
✦Enterprise options with dedicated support and custom deployment

Use cases

→Building applications that need failover across multiple LLM providers
→Consolidating billing/access to many AI models under one API
→Enterprises requiring guaranteed model output reliability

→Integrating many AI models via one API
→Prototyping and scaling AI apps
→Cost-controlled multi-model access

→Running ComfyUI/Stable Diffusion without a local GPU
→Training custom LoRA models
→Face swapping and voice conversion
→Generating images, video, and audio at scale

→Deploying and scaling model inference
→Fine-tuning and training models
→Running batch/parallel AI jobs
→Executing untrusted code in sandboxes

→Integrating AI image/video generation into an app via API
→Building automated content pipelines needing multiple AI models
→Testing and comparing many generative models from one account
→Scaling AI media production with volume-based account tiers
→Accessing both media-generation and LLM APIs from one platform

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