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
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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
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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
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flux context
✓ verifiedFreemium
Commercial all-in-one AI generator bundling many image, video and music models in one credit-based workspace.
527K visits/mo
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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
Pricing
No public pricing
Starter: $0/mo + compute ($30 free credit)
Team: $250/mo + compute
Basic: $7.90/mo billed annually (4,800 credits/yr)
Pro: $19.90/mo billed annually (19,200 credits/yr)
Ultra: $69/mo billed annually (67,200 credits/yr)
GPT-OSS 20B: $0.075 per 1M input tokens ($0.30 per 1M output)
GPT-OSS 120B: $0.15 per 1M input tokens
Core features
- ✦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
- ✦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
- ✦Text-to-image and image editing
- ✦Text-to-video and image-to-video
- ✦AI music generation
- ✦30+ integrated models
- ✦Image and video upscaling
- ✦Templates and multi-language UI
- ✦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
Use cases
- →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
- →Deploying and scaling model inference
- →Fine-tuning and training models
- →Running batch/parallel AI jobs
- →Executing untrusted code in sandboxes
- →Generating images, video and music in one place
- →Editing and style-transferring images
- →Producing marketing and social content
- →Upscaling media to higher resolution
- →Running LLM inference at high speed
- →Cutting inference costs at scale
- →Powering low-latency AI chat apps
- →Serving models via a hosted API
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