Modellix is a unified AI model API platform that gives developers access to leading image, video, audio, 3D, and language models through one API key and billing system. Instead of managing separate providers and integrations, developers can connect once and switch between models from providers such as Google, OpenAI, Anthropic, xAI, DeepSeek, Qwen, and others. Modellix also includes a browser Playground for no-code testing, prompt optimization, detailed call logs, transparent pay-as-you-go pricing, and tools for AI agents and CLI workflows.
Key Features
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Unified API: Access 100+ AI media models through one API key with a consistent request structure, making it easier to add or switch models without rebuilding integrations.
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LLM Gateway: Connect to language models from OpenAI, Anthropic, Google, DeepSeek, Qwen, Moonshot, xAI, and ZAI through OpenAI- and Anthropic-compatible endpoints.
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Browser Playground: Test, compare, and generate content with supported models directly from the browser without writing code.
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AI Prompt Optimizer: Improve prompts by automatically refining and expanding them for better generation results.
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Pay-As-You-Go Pricing: View model pricing before making requests with no required subscriptions or hidden fees.
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Complete Call Logs: Track inputs, outputs, response times, and costs for individual API requests to simplify debugging and usage analysis.
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Agent and CLI Tools: Connect Modellix with AI agents, low-code workflows, and terminal-based automation.
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Enterprise Security: Built with SOC 2 Type 2, ISO 27001, and ISO 27701 certifications and backed by Aurora Mobile.
Benefits
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One Integration: Work with a broad range of AI models through a single API instead of maintaining separate provider integrations.
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Simpler Model Switching: Move between supported models without rewriting your entire generation pipeline or managing multiple API keys.
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Transparent Costs: See model pricing and usage records clearly, making it easier to estimate and manage AI generation expenses.
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Better Debugging: Detailed request logs provide visibility into inputs, outputs, response times, and costs for troubleshooting and performance reviews.
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Faster Experimentation: Test different AI models directly in the Playground before integrating them into production workflows.
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Latest Model Access: Add newly supported models to existing workflows without building a new provider integration each time.
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Production Ready: Consistent request structures, asynchronous task handling, error codes, and usage tracking support larger development workflows.
