Compare tools

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

⇄ Comparison dimension — pick the market you're actually shopping in

Mlops Platform Inference Providers Hardware Infrastructure Multimodal Content Generation Apis Model Hosting Inference AI Agents Infrastructure

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

MuAPI

✓ verifiedPaid

Unified pay-per-generation API for 500+ image, video and audio models like FLUX, Kling and Seedance at low cost.

411K 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

Lightning AI

✓ verifiedFreemium

Cloud platform from the makers of PyTorch Lightning for building, training and deploying AI in browser-based GPU Studios.

467K visits/mo3.8K 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

Pricing

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

No public pricing

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

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

No public pricing

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

Free trial available

Core features

✦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

✦Single API for 500+ image, video and audio models
✦Pay-per-generation billing with no subscription
✦No charge on failed tasks
✦Workflows, agents and studio tools
✦MCP and CLI integrations, white-label option

✦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

✦Browser-based Lightning Studios with on-demand GPUs
✦PyTorch Lightning training framework
✦Model training, fine-tuning and deployment
✦Collaborative, shareable ML environments
✦Scalable multi-GPU/multi-node compute

✦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

Use cases

→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

→Building apps on top of many generative models via one API
→Generating images, video and audio at scale
→Cutting model API costs versus direct providers
→Deploying white-label AI generation studios

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

→Prototype and train ML models in the cloud
→Fine-tune and deploy foundation models
→Run reproducible AI experiments collaboratively

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

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