PARSA-Bench - Multiple-Choice QA: leaderboard

Metric: Accuracy (0-1 times 100) on 500 spoken ParsiNLU four-option questions (synthesized speech); zero-shot audio input, temperature 0, items with no extractable answer (including refusals) excluded; proprietary models on 100 items; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 8 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Flash64#237
2Gemma 3n E4B33#856
3Qwen2.5-Omni-7B28#601
4Gemma 3n E2B28#1137

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=parsa-bench-multiple-choice-qa · How It Works · Data refreshed daily, snapshot 2026-10-11.