Moonshot AI announces Kimi K3.1 Pro and K3.1 Pro Highspeed
Moonshot AI announces Kimi K3.1 Pro, a post-trained version of Kimi K3 with a 1-million-token context window, and K3.1 Pro Highspeed, which the company says runs 2-3 times faster. The post reports benchmark results across coding, 3D modeling, and finance, and describes factual-accuracy improvements and cyber-related data removal from training. Full model weights are stated to be released by Nov 4. Benchmarks are internal or self-reported.
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Moonshot AI announces Kimi K3.1 Pro, a post-trained version of Kimi K3 with a 1-million-token context window, and K3.1 Pro Highspeed, which the company says runs 2-3 times faster. The post reports benchmark results across coding, 3D modeling, and finance, and describes factual-accuracy improvements and cyber-related data removal from training. Full model weights are stated to be released by Nov 4. Benchmarks are internal or self-reported.
Key findings from the stored brief
- K3.1 Pro scores 65.7% on Terminal-Bench 4.0, ahead of GPT-6 Astra (58.2%) and narrowly behind Claude Opus 5.5 (66.4%).
- On Kimi Hallu Bench Hard, claim-level hallucination rate fell from 23.4% for K3 to 8.3%.
- Cyber-related data was removed from mid-training and RL stages; xdev-bench-hard pass@3 dropped from 90.5% to 81.0%.
- K3.1 Pro Highspeed delivers 2-3 times the speed of K3.1 Pro; full weights are slated for release by Nov 4.
Source claims not independently checked; many benchmarks are internal or self-reported by the developer.
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Why this may matter
The post describes a large open-weight model claiming near-frontier coding and finance performance, plus a documented attempt to reduce cyber-offense capability through training-data removal. Both claims bear on how open models are evaluated and governed.
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Source claims not independently checked; many benchmarks are internal or self-reported by the developer.
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