Werdykt v1 - Category Retrieval: leaderboard

Werdykt v1 Category Retrieval measures text-only decisions in Polish and English. The full test has 5,000 hidden questions in twenty balanced language/category groups of 250; category panels combine 500 questions and language panels have 2,500. Macro accuracy gives groups equal weight. Request errors and unparsed answers count incorrect. Native non-control systems retain their interface, engine, reasoning, legacy and source-independence flags; decision endpoints remain distinct from chat.

Metric: Accuracy (%). Source: basal.si5.pl. Saturation forecast: Rough model projection: around 2026. 121 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6.1 Sol (Werdykt Run: native=GPT-6.1%20Sol; cfg=9bc38d71de848a6b)100
2GPT-6 Astra (Werdykt Run: native=GPT-6%20Astra; cfg=4a80c27c0021a614)100
3Liquid d1-ultra (Werdykt Run: native=Liquid%20d1-ultra; cfg=4faf298d55c875bb)100
4basal-omni-1.0-ultra (Werdykt Run: native=basal-omni-1.0-ultra; cfg=bb9754f68d2ef61a)100
5Claude Opus 5.5 (Werdykt Run: native=Claude%20Opus%205.5; cfg=6d04e9478761c26f)99.8
6Gemini 3.1 Pro (Preview) (Werdykt Run: native=Gemini%203.1%20Pro%20%28preview%29; cfg=e8ffbba3cfe39393)99.8
7Decider chat · Gemma-4-31B (Werdykt Run: native=Decider%20chat%20%C2%B7%20Gemma-4-31B; cfg=8bd12d9b5e596b24)99.8
8pplx-decider-v1-27B (Werdykt Run: native=pplx-decider-v1-27b; cfg=dd1d846fc0af2505)99.8
9simple-jev · Qwen3.8-27B (featherless) (Werdykt Run: native=simple-jev%20%C2%B7%20Qwen3.8-27B%20%28featherless%29; cfg=68e523cf6b564737)99.8
10Gemini 3.8 Flash (Werdykt Run: native=Gemini%203.8%20Flash; cfg=d6e25ef16f84a68f)99.6

Interactive version: theaggregate.ai/benchmark?slug=werdykt-v1-category-retrieval · How It Works · Data refreshed daily, snapshot 2026-11-05.