Qwen-Audio-3.1-Realtime Report - LibriSpeech other: leaderboard

Qwen-Audio-3.1-Realtime report Table 4: native author evaluations. MMAU uses accuracy percent; LibriSpeech clean/other use WER percent; FLEURS is macro-average WER percent across supported languages (lower is better). LongBench v 2 and MiniLongBench use accuracy percent under source long-context evaluation. Model controls retain explicit source-scoped unspecified API effort and Qwen 3.0 Plus/Flash variant. Metric: Word error rate (%)

Metric: Word error rate (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 3 models tracked.

Top models

#ModelScoreOverall rank
1Qwen-Audio-3.1-Realtime2.31
2Qwen-Audio-3.1-Realtime Report Qwen-Audio-3.0-Realtime (Plus or Flash unspecified)2.34
3Qwen-Audio-3.1-Realtime Report Gemini 3.7 Flash (effort unspecified)6.46

Interactive version: theaggregate.ai/benchmark?slug=qwen-audio-3-1-realtime-report-librispeech-other · How It Works · Data refreshed daily, snapshot 2026-11-05.