Spark-Audio 1.0 - Public FLEURS-en: leaderboard

Spark-Audio 1.0 release checkpoint after its second distillation epoch. Native audio-to-text and text evaluations use each task’s published metric. In-house recognition and spoken interaction use separate in-house populations. IFEval and IFBench measure instruction-level accuracy; HumanEval measures pass@1. Encoder adaptation ablations are separate from the released model. WER (%).

Metric: WER (%). Source: arxiv.org. Saturation forecast: Around August 2027. 4 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)2.7#60
2Qwen 3.5 Omni Plus3.2#104
3Qwen3.5 Omni Flash3.7#202

No result here: #5 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=spark-audio-1-0-public-fleurs-en · How It Works · Data refreshed daily, snapshot 2026-10-25.