Problem solved

Developers integrating multiple AI models face fragmented APIs, different authentication methods, and the need to manage backend infrastructure for each provider. ModelRunner solves this by offering a single API and request format across all supported models, eliminating the overhead of building and maintaining separate integrations for each provider.

Use cases

• Generate images from text prompts using models like HunyuanImage 3.0 or Kling
• Generate videos from text or images using models like Seedance 2.5
• Generate audio or speech using ElevenLabs v2
• Create 3D assets from text or images
• Run large language models via a unified API
• Test and prototype AI models in a playground before integrating
• Integrate AI capabilities into applications without managing backend infrastructure
• Access multiple AI providers through a single API key and request format

Audience

• Developers
• ML Engineers
• Startups
• Enterprise
• Content Creators

Pros

• Unified API across multiple AI providers and modalities
• No need to build or maintain backend infrastructure
• Playground with real example prompts to test models before integrating
• Supports MCP for easy integration into AI agents
• Access to hundreds of production models from trusted providers

Cons

• Paid service with usage-based pricing
• Relies on third-party model providers, so availability and performance depend on them
• May not offer fine-grained control over model parameters compared to direct API access
• No self-hosted option
• Limited to models available in the catalog