[ AI_EVALUATION ]

Model Output Benchmark Harness

2026Developer PlatformsCapability

What it is

Runs the same generation prompt across many models and stores every artifact for comparison.

Client work is shown without identifying imagery

[ THE_PROBLEM ]

Why this existed

Model choice usually gets made on a public benchmark or a preference, neither of which reflects the actual prompt on the actual inputs.

[ WHAT_WE_BUILT ]

What we built

A harness that dispatches identical prompts across Anthropic, OpenAI and OpenAI-compatible providers, then persists each run's output as a date-partitioned HTML artifact — dozens of runs archived from a single session, so model choice becomes an evidence question rather than a preference.

Dispatches identical prompts across multiple providers
Supports Anthropic, OpenAI and OpenAI-compatible endpoints
Persists each run as a date-partitioned artifact
Archives dozens of runs from a single session for side-by-side comparison

[ HOW_IT_IS_USED ]

How a company uses it

Before committing a product to a model, run the actual prompt across candidates on real inputs and compare. Cheap insurance against a provider decision made on a benchmark that does not match your workload.

Built with

AI SDKExpressReact

[ COMMON_QUESTIONS ]

Questions clients ask

Why not rely on public benchmarks?

Because they measure general capability on tasks that are not yours. A model that leads a reasoning leaderboard may be worse at the specific structured generation your product depends on. The only benchmark that decides your build is your prompt on your inputs.

What do you do with the archived artifacts?

Compare them directly, and keep them. When a provider updates a model or you consider switching, having the previous outputs archived turns a re-evaluation into a comparison rather than a fresh guess.

How much does running a benchmark like this cost?

Far less than picking the wrong model. A few dollars of inference against a decision that affects per-request cost and quality for the life of the product is trivially worth it.

[ RELATED_WORK ]