ZenMux: LLM Gateway

What is ZenMux?

ZenMux is an LLM gateway that provides unified API access to 100+ AI models from providers including OpenAI, Anthropic, Google, Meta, xAI, DeepSeek, MoonshotAI, Tencent, and Xiaomi. Developers and teams use it to call any supported model through a single account and endpoint instead of managing separate API keys and integrations per provider. The LLM gateway handles text, image, audio, video, and file inputs and outputs, covering use cases from chat and code generation to image and video generation.

Features & Benefits

• Multi-model API access – Access 100+ AI models from a single account and API endpoint without managing separate provider credentials or accounts.
• Multi-modal input and output – Send and receive text, images, audio, video, and files across supported models.
• Multi-protocol compatibility – Connect using OpenAI Chat Completions, OpenAI Responses, Anthropic Messages, Google Gemini, and Google Imagen protocols, allowing existing integrations to work without code rewrites.
• Reasoning mode support – Choose between no reasoning, toggleable reasoning, and always-on reasoning depending on the model and task.
• Configurable parameters – Adjust supported parameters including max_completion_tokens, temperature, and top_p per request.
• GUI for chat, image, and video generation – Use a browser-based interface as an alternative to the API for direct model interaction.
• Model auto routing (ZenMux Auto) – Automatically select the best model for a prompt based on task patterns, historical performance, and cost-quality tradeoff.
• Multi-provider failover – Automatically switch to a backup provider channel if a primary provider hits rate limits, goes down, or becomes unavailable in a region.
• Global edge acceleration – Route requests through Cloudflare’s global edge network to reduce latency by serving from the nearest node.
• AI Insurance compensation – Automatically issue compensation when outputs meet defined failure criteria including hallucinations, excessive latency, or low throughput.
• Bad case data return – Provide anonymized compensated failure cases back to the user to support model evaluation and product improvement workflows.
• Model quality benchmarking (HLE tests) – Run regular and on-demand Human Last Exam tests across model channels, with results published in real time for comparison and degradation tracking.
• Multi-dimensional usage dashboards – Track every request, token count, and cost across dimensions to monitor spend and optimize usage.
• Token-level billing – Bill precisely by token consumption with no rate limits on the Pay As You Go plan.
• High concurrency support – Handle parallel requests at scale on the Pay As You Go plan, suited for production environments.
• Compatibility with AI coding tools – Work with tools including Claude Code, Codex, and OpenClaw through the Builder subscription plan.

Real-World Applications

A developer building a customer support chatbot may use ZenMux as their LLM gateway to route different query types to different models — a lightweight model for simple FAQ responses and a higher-capability model for complex escalations — all through one API integration. The auto routing feature can handle this selection automatically, reducing the need to manually manage model logic in application code.

A startup shipping a production AI product might rely on the LLM gateway’s failover and high concurrency support to maintain uptime during traffic spikes or provider outages. Rather than building redundancy logic in-house, they can use ZenMux to ensure requests continue processing even when a primary provider becomes unavailable. The token-level billing and cost dashboards help the team monitor spend as usage scales.

Researchers or teams evaluating AI model quality may find the HLE benchmarking useful for tracking whether model performance has degraded over time. Being able to request on-demand tests and compare scores across providers addresses a common concern when using third-party model access — that the model being served may not match the advertised version.

An independent developer doing vibe coding or experimenting with image and video generation can use the Builder plan to access a wide range of models at a fixed monthly cost. The GUI makes it possible to test models without writing API calls, and compatibility with tools like Claude Code means it can fit into existing development workflows without additional setup.