MicroEvals

Run your prompts across multiple models to compare their performance.

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

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Public evaluations

Showing 6581-6600 of 7178

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Frontier vs Budget Everyday Assistant — 12-Task Reasoning and Reliability MicroEval

A single-turn comparison of Claude Opus 4.8, GPT-5.6 Luna, GPT-5.6 Sol, Gemini 3.1 Pro Preview, and Gemini 3.6 Flash across practical assistant capabilities: tool honesty, quantitative reasoning, scheduling, Bayesian inference, evidence synthesis, coding, infrastructure design, constrained writing, ambiguity handling, optimization, policy interpretation, and multilingual grounding. Prompt 1 is a web-access diagnostic and should be scored separately. Prompts 2–12 are self-contained and should not require browsing. The comparison evaluates each model at the reasoning setting shown by Artificial Analysis, so results represent best-configured endpoint quality rather than equalized compute, latency, or cost.

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Write a dialogue between two people, one is dressed up in a ...

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I am an electrical engineering student specializing in power...

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Recomiendame páginas web muy similares a Arena ai para poder...

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Complete the following Python function: ```python from typi...

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Tell me all about the Selective Entry High Schools Examinati...

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LoryqBench

A benchmark comparing three frontier AI coding models by having them independently build the same highly detailed, interactive 3D HTML web experience. Models are evaluated on visual quality, interactivity, performance, responsiveness, code quality, optimization, and overall polish.