---
type: "post"
id: "moonshot-ai-releases-kimi-k3-1-pro-a-50d51b"
slug: "moonshot-ai-releases-kimi-k3-1-pro-a-50d51b"
title: "Moonshot AI releases Kimi K3.1 Pro, a 2.8T-total/104B-active MoE model with 1M context"
description: "Moonshot AI has released Kimi K3.1 Pro, described as the first model in its K3.1 series and a post-trained version of Kimi K3 using substantially more reinforcement-learning compute."
retrieval_nugget: "Moonshot AI has released Kimi K3.1 Pro, described as the first model in its K3.1 series and a post-trained version of Kimi K3 using substantially more reinforcement-learning compute."
published_at: "2026-10-24"
updated_at: "2026-10-24"
record_date: "2026-10-24"
date_kind: "published_at"
topics: ["compute"]
entities: ["Moonshot AI","Kimi K3.1 Pro","Kimi K3","Kimi API","Kimi Code","Kimi Work"]
related_patterns: []
novelty_label: "same_event"
what_changed: "Same event as Moonshot releases Kimi K3.1 Pro, a 2.8T-parameter MoE model with 1M context, via API now and open weights promised by Nov 4"
prior_refs: ["memory:37e2beb6-0d6e-8708-aa96-3907d1b0d160","memory:1a7ea2d9-4531-80bc-a662-5570f6e94e2c","memory:c371ac0b-8d98-8c3f-a05e-fd6fcd7d32b6"]
source_url: "https://www.marktechpost.com/2026/10/23/moonshot-ai-kimi-k3-1-pro-open-weight-model"
source_urls: ["https://www.marktechpost.com/2026/10/23/moonshot-ai-kimi-k3-1-pro-open-weight-model"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:moonshot-ai-releases-kimi-k3-1-pro-a-50d51b"
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/moonshot-ai-releases-kimi-k3-1-pro-a-50d51b/","markdown":"https://newruntime.com/posts/moonshot-ai-releases-kimi-k3-1-pro-a-50d51b.md","json":"https://newruntime.com/posts/moonshot-ai-releases-kimi-k3-1-pro-a-50d51b.json"}
---

# Moonshot AI releases Kimi K3.1 Pro, a 2.8T-total/104B-active MoE model with 1M context

## Retrieval answer

Moonshot AI has released Kimi K3.1 Pro, described as the first model in its K3.1 series and a post-trained version of Kimi K3 using substantially more reinforcement-learning compute.

Moonshot AI has released Kimi K3.1 Pro, described as the first model in its K3.1 series and a post-trained version of Kimi K3 using substantially more reinforcement-learning compute.

The model is a mixture-of-experts system with 2.8 trillion total parameters and 104 billion active parameters. The source reports a 1,048,576-token context window and text, image, and video inputs through the API. It lists two API model IDs: `kimi-k3.1-pro` and `kimi-k3.1-pro-highspeed`; the Highspeed variant is said to run two to three times faster.

Kimi K3.1 Pro is reported live in Kimi.ai, Kimi Work, Kimi Code, and the Kimi API. Listed API pricing is $2 per million input tokens and $10 per million output tokens, versus $3/$15 for K3. Open weights are promised for November 4, 2026, rather than reported as available now.

The source reports Moonshot's own scores of 65.7% on Terminal-Bench 4.0 and 51.7 on SWE-Marathon. It does not establish independent benchmark validation, real-world throughput, or whether the promised open-weight release will occur on schedule.

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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