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Looks borrowed from benchmark sites and products. Themes with a light and a dark version follow your mode.

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Upload a Priors theme file, or have your agent make one: copy the prompt, tell it the look you want, and upload what it returns. With the Priors skill installed it already knows the format.

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Which is better?

Tap the better model, up to 6 times. You get a leaderboard built from the benchmarks that agree with you.

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Your gut calls, backed by benchmarks.

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Better evidence, fewer benchmarks.

Your preferences guide the search. Quality helps break close calls.

Coverage counts how many models have measured results — a test most models took beats a niche one.

Recency rewards recent test releases. An unknown release date gets a neutral score. A fresh scrape is not a fresh benchmark.

Headroom measures saturation and score spread. Tests that separate models beat tests everyone passes.

Objectivity favors verifiable outcomes over preferences and subjective judging.

Quality combines 25% coverage, 25% recency, 30% headroom, and 20% objectivity — plus a bonus for preferred benchmarks, minus a penalty for superseded versions. Objectivity is an assigned judgment score. This heuristic does not measure contamination or scientific validity.

BenchmarkRecentHeadroomObjectiveQuality
✳ Terminal-Bench v4-AA996292100
Released 2026-08-01 · Why this score

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✳ ProgramBench v1 Fully Resolved857798100
Released 2026-05-05 · Why this score

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✳ HLE-Diamond?609091
Release date unverified · Why this score

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✳ FrontierMath Tier 4 (v2)91399690
Released 2026-06-12 · Why this score

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✳ AA-Omniscience v159498587
Released 2025-11-16 · Why this score

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✳ BullshitBench v275416579
Released 2026-03-02 · Why this score

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✳ ARC-AGI-379469078
Released 2026-03-25 · Why this score

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✳ DeepSWE v1.191379676
Released 2026-06-14 · Why this score

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✳ SimpleBench3378666
Released 2024-11-25 · Why this score

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