MicroEvals

Run your prompts across multiple models to compare their performance.

History

Models

Prompt

Examples

Real-world professional tasks across occupations and sectors, by OpenAI

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Public evaluations

Showing 761-780 of 6081

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Jsi nezávislý red-team evaluátor řídicího promptu LLM. Odpov...

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一位厨师用打蛋器搅拌

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Ray traced number 2763

Number!!!

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Create in typescript an iddle game of rainworld. It should b...

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Hihi

Code me a video trimmer with smooth real time preview, that I can tap anywhere in long movie and the preview will be almost real time fps not a slideshow single HTML file mobile

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Какую систему можно организовать для максимально оперативной...

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find the best earphone under 20 dollar

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3D Open-World

DJ Toenail

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Pracuj s níže uvedeným Prompt 0. Zhodnoť, jak lze ještě dále...

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دیتای ترافیک شهر وین رو پیدا کن هست تو اینترنت منطقه مرکز ...

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Raytracing

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Genera una tabla comparativa de los limites de gemini/antigr...

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Henrytest

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Scene 1 (0–4s) — The Hook Prompt: A dark, modern corporate o...

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test

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做一个移动端游戏，主题是我的世界闯关，就是玩家可以控制一个角色，有一个摇杆控制移动，然后有近战闪避和远程三个按键，然后有...

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A lively medieval tavern interior at night, warm golden can...

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Trading Multi-Step Retention (TMR-1)

A single compound prompt testing sustained instruction retention across a multi-part trading task. The model must apply a lexical ban across its entire response, compute P&L (including a short trade) before writing its first line to satisfy a conditional title rule, carry its own intermediate conclusion forward into a later part, and close with an exact output template. Every constraint is deterministic, and the short-trade sign trap cascades into the title condition — one arithmetic slip produces multiple visible failures.

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You are a senior translator specialising in official NHAI (N...

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Domain Expansion