---
type: "post"
id: "kimi-k3-1-pro-tech-blog-advancing-open-73b81c"
slug: "kimi-k3-1-pro-tech-blog-advancing-open-73b81c"
title: "Kimi K3.1 Pro Tech Blog: Advancing Open Intelligence"
description: "Kimi introduced K3.1 Pro, a post-trained Kimi K3 model that it calls its most capable 3T-class open-weight model, with a one-million-token context window."
retrieval_nugget: "Kimi introduced K3.1 Pro, a post-trained Kimi K3 model that it calls its most capable 3T-class open-weight model, with a one-million-token context window."
published_at: "2026-10-24"
updated_at: "2026-10-24"
record_date: "2026-10-24"
date_kind: "published_at"
topics: ["open-models","models","agent-context"]
entities: ["Kimi","Kimi K3.1 Pro","Kimi K3.1 Pro Highspeed","Kimi Code","Kimi Work"]
related_patterns: []
novelty_label: "same_event"
what_changed: "Same event as Kimi K3.1 Pro nearly matches Opus 5.5 performance on Terminal-Bench 4.0 at *half* the cost."
prior_refs: ["memory:314f6ef9-00dc-832a-a6cf-495da27e61ad","memory:41dcb481-47f8-8b20-a3aa-9fb61b7e3d65"]
source_url: "https://www.kimi.com/en/blog/kimi-k3-1-pro"
source_urls: ["https://www.kimi.com/en/blog/kimi-k3-1-pro"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:kimi-k3-1-pro-tech-blog-advancing-open-73b81c"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/posts/kimi-k3-1-pro-tech-blog-advancing-open-73b81c/","markdown":"https://newruntime.com/posts/kimi-k3-1-pro-tech-blog-advancing-open-73b81c.md","json":"https://newruntime.com/posts/kimi-k3-1-pro-tech-blog-advancing-open-73b81c.json"}
---

# Kimi K3.1 Pro Tech Blog: Advancing Open Intelligence

## Retrieval answer

Kimi introduced K3.1 Pro, a post-trained Kimi K3 model that it calls its most capable 3T-class open-weight model, with a one-million-token context window.

Kimi introduced K3.1 Pro, a post-trained Kimi K3 model that it calls its most capable 3T-class open-weight model, with a one-million-token context window. K3.1 Pro and the faster K3.1 Pro Highspeed were made available on Kimi.com, Kimi Work, Kimi Code, and the Kimi API; the company said full model weights would be released by November 4.

The release note also describes a separate process for the open-weight version’s cyber capabilities. Kimi says it observed vulnerability-research performance rising as post-training scaled, tracing relevant material to both its mid-training corpus and its reinforcement-learning environment mix. It says it identified and removed cyber-related data from both stages while retaining general-purpose coding tasks.

Kimi says it evaluated vulnerability-research capabilities and applied targeted training controls intended to reduce misuse risk while preserving general usefulness. The post does not provide an independent safety assessment, a complete account of the removed data, the exact controls, or evidence that the released weights cannot be used for cyber misuse.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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