# Benchmark

Concept · [Building with AI](https://ecosystem.samcarlton.com/ai)

Also called: benchmarks, leaderboard, leaderboards, benchmark score, model comparison

A shared, public test used to score different models on the same tasks so they can be compared. A score on a benchmark may not predict how a model does on a company's own task.

**For example:** Two models score close together on a public [coding](https://ecosystem.samcarlton.com/code) benchmark. A team then runs its own [evals](https://ecosystem.samcarlton.com/evals) on its own code to choose between them.

## Connects to (7)

- [Evals](https://ecosystem.samcarlton.com/evals): Tests that check whether the outputs of a model or an AI product meet the criteria its builders set.
- [Model](https://ecosystem.samcarlton.com/model): The trained system at the center of an AI product.
- [Frontier model](https://ecosystem.samcarlton.com/frontier-model): One of the most capable general-purpose AI models available at a given time.
- [Testing](https://ecosystem.samcarlton.com/testing): Checking that software does what it should, before your users find the problems for you.
- [Gen AI Evaluation Service](https://ecosystem.samcarlton.com/gen-ai-evaluation-service): A part of Google Cloud's Gemini Enterprise Agent Platform, formerly Vertex AI, that scores the outputs of AI models against criteria a…
- [Artificial Analysis](https://ecosystem.samcarlton.com/artificial-analysis): An independent company that tests and compares AI models and providers on quality, speed and price, and publishes the results.
- [LMArena](https://ecosystem.samcarlton.com/lmarena): A public website, now called Arena, where people compare answers from two anonymous AI models and vote for the better one.

Map view: https://ecosystem.samcarlton.com/benchmark