Prosa: leaderboard

Rankings produced by holistic LLM-as-a-judge scoring are sensitive to the bias of the chosen judge model. We show that switching to binary rubric scoring with multi-judge filtering removes this sensitivity: decomposing the judgement matters more than the judge model itself. To support this claim, we introduce Prosa, the first real user multi-turn Brazilian Portuguese chat benchmark: 1,000 WildChat

Metric: Score (self-reported). Source: benchmarklist.com. Saturation forecast: Around March 2027. 16 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.288.6#110
2GPT-5 Mini84.8#186
3Gemini 3 Pro83.8#80
4Qwen 3 235B A22B80.1#313
5Gemini 3 Flash78.8#99
6Gemini 2.5 Flash76.3#245
7GPT-4.174.8#248
8Qwen 3 30B A3B73.9#493
9GPT-4.1 Mini67.7#355
10Qwen 3 4B64.6#829
11GPT-4o55#343
12GPT-4o Mini54.5#599
13Qwen 2.5 14B46.4#725
14Qwen 2.5 7B43.3#922

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=prosa · How It Works · Data refreshed daily, snapshot 2026-10-20.