Miatz playground

Model Grand Prix

Five models race one task, cost ticking live.

Coming to the Build-LabAIE-402BYOK AIAI-Concept-Vizdev · data

The Demystify signature

Turns the invisible economics of an API call into a literal ticking meter raced in real time -- never a static pricing table.

How it works

What goes in, what comes out

What it does

The same task dispatches to several real model tiers at once, and the learner watches a live race: a cost meter ticking up per model, a latency bar filling, and a quality score landing as each finishes. A weighting slider (cheap-and-fast vs best-quality) picks a winner the learner then compares against the actual optimal pick for their stated priority.

You bring

A task prompt (edit or pick preset) and a weighting choice.

You get

A live race animation, a final scoreboard (dollar cost, ms latency, quality score per model), and a 'your pick vs the optimal pick' verdict.

You control

Task picker; model-roster toggle; cost/latency/quality weighting slider; cache on/off (to show repeat-query savings).

Where it's used

Demo inside AIE-402; homepage/hero lead magnet (directly answers the market's number-one tools/API-cost fear).

model routingcost/latency/quality tradeoffcachingbatching

Optional · watch & try

Go deeper, elsewhere

Hand-picked public explainers and open tools that complement this one — always optional, never required, never graded.

LLM Inference: Cost vs. Latency vs. ThroughputFrames the three-way tradeoff every serving decision makes Cut Your LLM Costs and Latency up to 86% with Semantic CachingConcrete caching technique with a measured before/after Fix Your LLM Latency: What Actually Works in ProductionProduction-grade latency debugging checklist Artificial Analysis — LLM Price CalculatorCompare real token pricing and speed across model providers

Concepts click when you open the machinery.

Three labs are already live and free — the same hands-on style this playground brings to its module.

Play the free labs Take the DSAT