K3.1 Pro’s UI displays a generated Unity script alongside a rendered 3D asset.
KIMI K3.1 PRO LAUNCHES WITH 1M TOKEN CONTEXT, MATCHES TOP AI IN CODING
*Kimi releases its 3‑trillion‑parameter K3.1 Pro and a Highspeed variant that runs 2‑3× faster. The models hit leading scores on coding and 3D benchmarks, and full weights drop by Nov 4.*
Kimi has just dropped K3.1 Pro, its first 3‑trillion‑parameter open‑weight model, and a Highspeed sibling that runs up to three times faster. Both models arrive with a 1‑million‑token context window, a scale that rivals the biggest closed‑source offerings. The company promises full weight release by Nov 4, opening the door for independent labs to experiment with a model that already posts competitive scores on coding, 3D and finance benchmarks. This launch signals a decisive push by a Chinese AI firm to challenge the dominance of Western proprietary giants in high‑end generative AI.
What performance gains does K3.1 Pro deliver?
K3.1 Pro is a post‑trained version of K3 with substantially larger compute. Across coding, agentic and knowledge benchmarks it matches or approaches the strongest proprietary models. On Terminal‑Bench 4.0, a coding‑agent test, it scores 65.7%, ahead of GPT‑6 Astra’s 58.2% and just shy of Claude Opus 5.5’s 66.4%. On Kimi Code Bench 3.0 Long‑horizon it reaches 61.2%, up from K3’s 55.95%. BenchCAD, a 3D reconstruction test, yields 92.7% with tools, closing the gap to Claude Opus 5.5’s 96.2% and GPT‑6 Astra’s 95.9%.
How does K3.1 Pro handle complex engineering tasks?
The model excels at long‑horizon coding and 3D creation. In an internal test it built a human walking dynamics simulator on top of the open‑source Human‑Atlas model, which contains 296 skeletal and 402 muscle components. After 167 missions and 420 independent reviews, the system refined the controller to sustain walking for 11.2 seconds. When reward shaping stalled, it ran open‑loop probes, identified 36 shoulder‑muscle moment‑arm errors, corrected them, and retrained the controller. In 3D work, it writes scripts for Blender and CAD tools, generating assets for games, brand films and interactive web experiences.
Can K3.1 Pro replace proprietary finance AIs?
K3.1 Pro shows state‑of‑the‑art results on finance benchmarks. It scores 64.4 on OfficeQA Pro v2, a test of complex fiscal data analysis, retrieval, cross‑document verification and multi‑step numerical reasoning. It improves over K3 on Frontier Finance, which measures end‑to‑end investment workflows. Internal finance tests show a 7.2‑point lift on Financial Modeling and an 11.6‑point lift on Financial Research, indicating stronger formula linkage, logic and auditable research capabilities.
What are the deployment options and timeline?
K3.1 Pro and the Highspeed variant are live today on Kimi.ai, Kimi Work, Kimi Code and the Kimi API. Highspeed delivers two to three times the inference speed of the standard model, enabling more responsive interactions. Full model weights will be released to the public by Nov 4, allowing developers to run the 3‑trillion‑parameter model locally or in private clouds. The rollout includes a new 3D Make feature that lets users preview, edit and export 3D models directly from the Kimi platform.
Frequently asked questions
When will the full K3.1 Pro model weights be released?
The full model weights will be released by Nov 4.
How much faster is K3.1 Pro Highspeed compared to the standard model?
K3.1 Pro Highspeed delivers 2‑3× the speed of K3.1 Pro for more responsive interactions.
What benchmark scores does K3.1 Pro achieve on coding tests?
On Terminal‑Bench 4.0 it scores 65.7%, ahead of GPT‑6 Astra’s 58.2% and just behind Claude Opus 5.5’s 66.4%.
Kimi’s aggressive timeline and open‑weight strategy could reshape the AI landscape. By delivering a model that matches top proprietary scores while offering full transparency, Kimi forces the industry to reckon with a new source of high‑performance, community‑driven intelligence. The coming weeks will test whether the open model can sustain its early lead as developers integrate it into real‑world pipelines.
Sources: Hacker News article, Kimi K3.1 Pro Tech Blog