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Models2026-09-19 · source-backed
Announced September 17, built and evaluated against real Wispr Flow dictations from offices, commutes and meetings across varied microphones and background noise. On 10 hours of real dictation it posted the lowest word error rate against Google, OpenAI, AssemblyAI and Deepgram, and led among real-time models on a 3-hour challenge set, with Gemini 3.1 Pro scoring better overall but not usable in real time. Wispr On public benchmarks it only ties for lowest on LibriSpeech and doesn't lead FLEURS or Common Voice, which the post says outright.
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