TensorZero vs Vercel AI Gateway
On the evidence we track, TensorZero leads this comparison with a composite score of 56/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
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.
TensorZero
LeaderA 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.
Vercel AI Gateway
AI Gateway provides a single integration point for routing requests to multiple AI model providers (OpenAI, Anthropic, and others) through an OpenAI-compatible API. It includes budget controls, unified billing, usage tracking, and automatic failover to ensure reliable access to language models.
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
TensorZero
Leader- Ollama
- Slack
- Teams
Vercel AI Gateway
- Anthropic
- SpaceXAI
- Google Gemini
- Cohere
- AssistLoop
- Vercel AI SDK
TensorZero or Vercel AI Gateway: 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.