Higress vs TensorZero
No clear leader: Higress (58.4) and TensorZero (56.2) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for llm gateways. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Higress
Higress is an open-source API gateway designed to manage AI workloads, language model integrations, and tool services. It supports both self-hosted deployment and commercial cloud offerings, with production-grade reliability including 99.95% SLA for enterprise deployments.
TensorZero
A self-hosted platform that combines deployment, monitoring, evaluation, and optimization for language model applications. It enables teams to manage multiple model providers through a single interface, measure performance across different configurations, and automatically improve routing strategies and prompts.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- OpenAI
Higress
- Claude
- DeepSeek
- Azure OpenAI
- Aliyun Dashscope
- Aliyun DashVector
- Doubao
- Kubernetes
- Istio
- Nginx Ingress
- Let's Encrypt
- Tongyiqianwen
- Doubaoquantum
- Envoy
- NGINX
- Sealos
TensorZero
- Ollama
- Slack
- Teams
Higress or TensorZero: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.