VoiceLongMemEval - Indirect 140Q - Descriptive with Hint: leaderboard

VoiceLongMemEval tests retrieval of past conversational facts that depend on vocal affect. These text-input experiments compare transcripts alone with descriptions of paralinguistic metadata, averaged over three seeds with five distractor sessions; they do not test raw speech perception. This series reports VoiceLongMemEval - Indirect 140Q - Descriptive with Hint from 2609.00570v1, S5.T6: Accuracy (%). Higher is better.

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Around October 2027. 8 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.863.1#57
2Claude Sonnet 4.659.1#159
3Qwen 3.5 122B A10B57.1#335
4GPT-5.556.2#48
5Qwen3-Next-80B51.4#656
6Gemma 3 12B44.5#2086
7Llama 3.3 70B42.4#1590
8Llama 4 Maverick28.6#1166

No result here: #4 Claude Opus 5.5, #5 GPT-6 Astra, #9 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=voicelongmemeval-indirect-140q-descriptive-with-hint · How It Works · Data refreshed daily, snapshot 2026-11-08.