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Moonshot's K3.1 Pro is primarily a post-training update to K3, not a new architecture, and the research detail is thin. Its headline claims (near-frontier benchmarks, 2-3x faster Highspeed output, and a 2.8T-parameter open-weight release promised for November 4) are company-reported and still need independent verification. Readers should watch the open-weight release and third-party evaluations, and note that the Highspeed price and speed claims conflict between sources.
[AINews] Kimi 3.1 Pro 104BA-2.8T: Fable-5.1-Class Open Weights narrows Closed-AI lead to 1 month... and Pro Highspeed API with 2-3× speed

We have Fable at home... or so we are being told by paid shills
As usual we don’t get much research detail - the update is somewhat similar to Z.ai’s 5.2-5.3 bump - a minor version bump for a lot more post-training: Kimi K3.1 Pro is a post-trained version of Kimi K3, with substantially larger post-training compute. To enable large-scale joint RL across hundreds of downstream domains, we optimized every layer of the stack — the RL framework, long-context inference, training efficiency, sandbox infrastructure, rollout scheduling, and a shared platform for environment quality checks — so that each increment of RL compute delivers stable, predictable returns. As a result, K3.1 Pro achieves consistent gains in every domain. Top Story: Kimi K3.1 Pro launch and reactions Moonshot launched Kimi K3.1 Pro with near-frontier independent benchmark results, a substantial increase in model size, and an open-weight release promised for November 4, 2026. The model: Moonshot describes K3.1 Pro as a multimodal, “3T-class” mixture-of-experts model with 2.8 trillion total parameters, 104 billion active parameters, and a 1-million-token context window. Its advertised strengths include full-project coding, Blender/CAD work, financial modeling, and long-running agents. @Kimi_Moonshot The model: Moonshot describes K3.1 Pro as a multimodal, “3T-class” mixture-of-experts model with 2.8 trillion total parameters, 104 billion active parameters, and a 1-million-token…
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