MicroEvals
Run your prompts across multiple models to compare their performance.
Public evaluations
Showing 861-880 of 7043
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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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You are an administrative operations lead in a government de...
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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
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
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Self Comparison of models
Use efficiency of LLMs
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"Actúa como un estratega experto en teoría de juegos y psico...
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