"The only way to discover the limits of the possible is to take a small step beyond the impossible." — Moonshot AI

On October 24, Moonshot AI (Kimi) released Kimi K3.1 Pro, its new open-source flagship: 3 trillion parameters, a 1-million-token context window — still the largest open model on Earth. Its overall intelligence now approaches leading closed-source models, at one-fifth the price of GPT 6 Astra. The open-versus-closed contest has entered a new round.

1. Release and Positioning

On the Artificial Analysis intelligence index, the K3 family ranks 4th overall — first among open models worldwide. Versus K3, K3.1 Pro pours far more compute into reinforcement learning across hundreds of domains and wields professional tools far more capably — growing more "hands" beyond its intelligent "brain". On coding, agentic and knowledge benchmarks it matches or approaches the strongest closed models.

Key Facts at a Glance

• Released Oct 24: 3T parameters, 1M-token context — the world's largest open model

• Priced at one-fifth of GPT 6 Astra; full weights open by Nov 4

• Ranks 4th on the Artificial Analysis index, first among open models

• Long-horizon coding: a simulated human walked for 11.2s, with 36 moment-arm errors auto-fixed

• Global best on both Office QA Pro v2 and SpreadsheetBench v2

2. Three Leaps: Coding, 3D and Finance

3. The Open-Source Timeline

From K3's instant capacity crunch to K3.1 Pro closing on closed rivals at one-fifth the price, open-source is pushing the contest into a new phase of "capability parity, price descent". As open weights and million-token contexts become table stakes, the decisive battleground shifts to deployment — and the private-deployment ledger is one every enterprise eyeing large models should run carefully.

(Compiled from The Paper, HK01 and other public reports.)