ZenMux

What is ZenMux

ZenMux is the world's first enterprise-gradelarge model aggregation platformwith an insurance compensation mechanism, providing one-stop access to mainstream models such as OpenAI, Anthropic, Google, and DeepSeek through a unified interface. ZenMux adopts a dual-protocol compatible design (OpenAI and Anthropic standards), supporting intelligent model routing, automatic failover, and global edge acceleration. ZenMux's core feature is "AI insurance," which automatically compensates when models hallucinate, have excessive latency, or produce poor-quality output, and can feed problem data back to users to optimize their products. ZenMux supports regular open-source auditable "degradation detection" (HLE testing) for all models, making quality transparent and trustworthy.

ZenMux's main features

• Unified model access: A single API key can call models from mainstream vendors such as OpenAI, Anthropic, Google, and DeepSeek, with no need to manage multiple accounts.
• Dual-protocol compatibility: Supports both OpenAI and Anthropic API standards, seamlessly integrating with Claude Code、Cursor and other tools.
• AI insurance service: Supports automatic detection of model hallucinations, excessive latency, or output quality issues, with automatic compensation the next day, and uses the problem data to optimize users' products.
• Intelligent model routing: Automatically selects the most cost-effective model based on task characteristics, achieving the optimal balance between quality and cost.
• Transparent quality assurance: Regularly conducts open-source auditable HLE (Human Last Exam) tests on all model channels, with results made public in real time, supporting on-demand testing, and eliminating degraded models.
• Enterprise-grade stability: Multi-provider backup, automatic failover, and Tier 5 capacity reserve ensure high service availability unaffected by single points of failure.
• Global edge acceleration: Deployed on Cloudflare's global nodes, intelligently processing requests nearby, significantly reducing network latency.
• Developer observability: Provides multi-dimensional dashboards, including detailed call logs, cost analysis, usage statistics, performance monitoring, and model quality comparisons.

How to use ZenMux

• Register an account: Visit the ZenMux official website https://zenmux.ai/ to complete account registration and login.
• Get an API key: Go to the user console > API Keys page to create a new key.
• Choose an access method：
  • OpenAI SDK: Set base_url="https://zenmux.ai/api/v1", and the model format is provider/model-name(e.g., openai/gpt-5）
  • Anthropic SDK: Set base_url="https://zenmux.ai/api/anthropic", compatible with tools such as Claude Code
  • Call the API directly: Send a request to https://zenmux.ai/api/v1/chat/completions
• Start calling: Copy the code example, replace the API key and model name, and you can use it.
• View usage and costs: View request logs, cost analysis, insurance compensation records, etc., in the console.

ZenMux's product pricing

• Free: $0, 5 Flows/5h, open to all users, suitable for exploring AI capabilities and getting started with basic models, including basic AI model access, Studio Chat only, 25 AI conversations/5h, and no API request permission.
• Pro: $20, 50 Flows/5h, the preferred solution for developers, providing full model access and API calls, including all Free features, plus 70+ coding/image generation/LLM models, Studio Chat + API requests, and priority technical support.
• Max: $100, 300 Flows/5h, built for heavy users, suitable for high-frequency development and team collaboration, including all Pro features, plus 6x the 5h usage of Pro, exclusive access to GPT-5.2 Pro and GPT-5 Pro models, and early access to new features.
• Ultra: $200, 1200 Flows/5h, the ultimate experience plan, for professionals and AI enthusiasts, including all Max features, plus 24x the 5h usage of Pro and early access to new features.

ZenMux Use Cases

• Enterprise-level AI Application Deployment: Suitable for production environments that require stable 24/7 operation, such as intelligent customer service, content moderation, and knowledge base Q&A.
• AI Coding and Development Tools: Seamlessly integrates with tools such as Claude Code, Cursor, and GitHub Copilot, supporting long-context processing and multi-model orchestration. Developers can call models such as GPT-5, Claude-4, and Gemini 3 in the IDE to assist with coding without switching between multiple API keys.
• Multi-model Strategy and Intelligent Routing: Suitable for scenarios that require dynamic model selection, such as automatically switching between lightweight models (low cost) and reasoning models (high quality) based on task complexity, or building a model voting mechanism to improve output reliability, automatically optimizing the balance between cost and quality.
• AI Insurance and Quality-sensitive Businesses: Suitable for fields with extremely low tolerance for hallucinations, such as finance, healthcare, and law. When model outputs contain factual errors or latency exceeds standards, the insurance mechanism automatically compensates, while also providing high-quality "bad case" data for model fine-tuning, building a data flywheel.
• Agents and Complex Workflows: ZenMux is suitable for building multi-step AI Agents, automated workflows, emotional companion robots, and other businesses that require long-term stable LLM support.