MiMo V2.6 Pro

Headlines · 2

1. Oct 22
   Frontier audio models struggle to label ASMR sounds, developer benchmark finds

   A developer training a text-to-ASMR model evaluated eight frontier audio models as sound labellers on 480 clips with the same prompt and 20 labels, reporting that all struggled with fine-grained trigger sounds. Gemini 3.1 Pro had the highest trigger F1 against human labels at 0.325, while Claude Opus 5.5 and Grok 4.7, given spectrogram images, scored 0.121 and 0.110; Gemini 3.1 Pro named brushing in 92% of clean FSD50K/ESC-50 clips but reached only 0.18 brushing F1 on real ASMR, and whispering F1 was 0.70 to 0.79. The author reports Gemini 3.1 Pro at $0.0088 per clip and MiMo at $0.0008, and the findings come from a single r/MachineLearning post without independent verification.

   r/MachineLearning · 🔥 0
2. Oct 19
   Arena Week 42 leaderboard: kimi-k3-max enters coding top 10

   Arena published its blind-test rankings for Week 42 of 2026 (October 12–18), with the overall top stable: gemini-4-argon-high retained first place at 1525 points and claude-opus-5.5-high was second at 1507. On the coding board, Moonshot's kimi-k3-max held tenth with 1540 points, followed by Xiaomi's mimo-v2.6-pro in eleventh at 1539. Three models newly entered the rankings this week—gemini-3.5-flash-medium, mimo-v2.6-pro and flux-2-flex—and Arena notes the boards use anonymous blind votes and ELO, reflecting user preference rather than an absolute capability test.

   IT之家 AI · 🔥 0

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