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Moonshot releases Kimi K3.1 Pro and promises open weights by November 4

Moonshot AI's new model has a 1M-token context and, by the company's own measurements, nearly matches Claude Opus 5.5 on terminal coding tasks. The weights are not public yet.

Source: Moonshot AI (блог Kimi) · Authors: Moonshot AI · License: Цитата из официального поста

What shipped. Moonshot AI released Kimi K3.1 Pro and a faster K3.1 Pro Highspeed variant (2–3× faster, per the company). It is a post-trained version of Kimi K3 with substantially more post-training compute, centred on large-scale reinforcement learning (RL) across hundreds of downstream domains. The post calls it "3T-class" (exact size and architecture are not disclosed); context is 1M tokens.

Availability. Kimi.ai and mobile apps, Kimi Work, Kimi Code and the Kimi API (IDs kimi-k3.1-pro and kimi-k3.1-pro-highspeed). Full weights are promised by November 4, 2026; the post does not state a license.

Company-reported numbers (max reasoning effort unless noted):

  • Terminal-Bench 4.0: 65.7% vs 58.2% for GPT-6 Astra and 66.4% for Claude Opus 5.5.
  • Kimi Code Bench 3.0 Long-horizon (internal): 61.2% vs 55.95% for K3.
  • BenchCAD (Voxel IoU, 1,000-file subset) with tools: 92.7 vs 96.2 for Claude Opus 5.5 and 95.9 for GPT-6 Astra.
  • Kimi Hallu Bench Hard: claim-level hallucination rate fell from 23.4% (K3) to 8.3% (K3.1 Pro with tools).
  • Internal finance and business tests show large gains over K3 (e.g. Business Operation: 37 vs 8.9).

Caveats. Nearly all numbers are Moonshot's own, several benchmarks are internal, and there is no independent verification yet. On xdev-bench-hard the company reports 81.0% for the released model and 90.5% for a version without cyber risk-reduction measures, so the safety restrictions noticeably cut performance in that area.