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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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Replicate AI
✓ verifiedPaid
Pay-per-use cloud API to run, fine-tune, and deploy thousands of open-source and proprietary AI models with one line of code.
1.3M visits/mo17K saves
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Google Antigravity
✓ verifiedFree
Google's agentic development platform and IDE for building software with autonomous, Gemini-powered coding agents.
22M visits/mo18K saves
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Relace
✓ verifiedFreemium
Specialized small AI models and infrastructure that give coding agents fast codebase retrieval and file-editing at high speed.
17K visits/mo
Pricing
CPU (Small): $0.000025/sec ($0.09/hr)
Nvidia A100 80GB: $0.0014/sec ($5.04/hr)
Nvidia H100: $0.001525/sec ($5.49/hr)
Free trial available
No public pricing
No public pricing
Core features
- ✦One-line API calls to run community and proprietary AI models
- ✦Support for image, video, speech, and LLM generation models
- ✦Fine-tuning and custom model deployment via Cog
- ✦Per-second usage billing on shared or dedicated hardware
- ✦Automatic scaling for high-traffic private models
- ✦Thousands of community-published models with production APIs
- ✦Agent-first IDE experience
- ✦Autonomous planning and code execution
- ✦Integrated editor, terminal and browser control
- ✦Powered by Google's Gemini models
- ✦High-level developer supervision
- ✦Semantic code retrieval across large codebases
- ✦Fast Apply model for high-speed file edit merging
- ✦Lightweight repo push/pull built for agent workflows
- ✦Self-hosted and VPC-isolated deployment options
- ✦SOC 2 compliant hosted infrastructure
- ✦Playground for testing models before integration
Use cases
- →Developers embedding image/video/speech generation into an app via API
- →Teams deploying and scaling their own fine-tuned models
- →Builders comparing outputs from multiple AI models in one playground
- →Companies avoiding GPU infrastructure management for ML inference
- →Building apps with AI agents
- →Automating multi-step coding tasks
- →Prototyping and iterating on software
- →Assisting developers on complex work
- →Equipping a coding agent with fast codebase search
- →Merging AI-suggested file edits reliably at scale
- →Deploying code AI models in a compliance-restricted environment
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