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title: Moonshot releases Kimi K3.1 Pro and says it cut its...
description: Moonshot released Kimi K3.1 Pro, an upgraded open-weight version of Kimi K3, with full weights due by 4 November. On Terminal-Bench 4.0, it scored 65.7%, ahead...
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og:description: Moonshot released Kimi K3.1 Pro, an upgraded open-weight version of Kimi K3, with full weights due by 4 November. On Terminal-Bench 4.0, it scored 65.7%, ahead...
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# Moonshot releases Kimi K3.1 Pro and says it cut its hacking skills

**[The Next Web](https://daily.dev/sources/tnw)** · 2 min read · 1 upvotes · 0 comments

## Summary

Moonshot released Kimi K3.1 Pro, an upgraded open-weight version of Kimi K3, with full weights due by 4 November. On Terminal-Bench 4.0, it scored 65.7%, ahead of GPT-6 Astra's 58.2% and just behind Claude Opus 5.5's 66.4%. On Moonshot's own stress test, false claims fell to 8.3% from 23.4% for K3. Moonshot removed cyberattack-related material from training before the open release, so it would not push the limits of freely available models. On Moonshot's in-house test of exploiting real software flaws, the released model solved 81% of tasks versus 90.5% for a version trained without those cuts and 33.3% for K3, and by Moonshot's count DeepSeek's V4.1-Flash scored 85.7%. The figures are Moonshot's own and have not been checked independently.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/moonshot-kimi-k3-1-pro-open-weight-cyber>

## Questions this post answers

### How does Kimi K3.1 Pro compare to Claude Opus 5.5 on coding benchmarks?

Kimi K3.1 Pro scored 65.7% on Terminal-Bench 4.0, a test of AI coding agents, just behind Claude Opus 5.5's 66.4% and ahead of GPT-6 Astra's 58.2%. These figures come from Moonshot itself and have not been independently verified. Full model weights for K3.1 Pro are due by November 4.

_Developers choosing a coding model can track these contested benchmark claims on daily.dev._

### Did Moonshot remove hacking capabilities from the open-weight Kimi K3.1 Pro model?

Yes, Moonshot removed cyberattack-related training data before releasing the weights to limit misuse. A version trained without those cuts solved 90.5% of in-house exploit tasks, while the released model solved 81%, still far above the original K3's 33.3%. DeepSeek's open model V4.1-Flash reportedly scored 85.7% on the same measure.

_Security teams weighing open-weight model risks can follow these safety trade-offs on daily.dev._

## Similar posts on daily.dev

- [Everyone Read Kimi K3 as a Price War. It Is the Opposite.](https://daily.dev/posts/everyone-read-kimi-k3-as-a-price-war-it-is-the-opposite--xshhpdjyb) · Medium · 3 upvotes · 0 comments

---

Tags: [#ai](https://daily.dev/tags/ai), [#open-source](https://daily.dev/tags/open-source), [#ai-safety](https://daily.dev/tags/ai-safety), [#kimi](https://daily.dev/tags/kimi), [#moonshot-ai](https://daily.dev/tags/moonshot-ai)

[View this post on daily.dev](https://daily.dev/posts/moonshot-releases-kimi-k3-1-pro-and-says-it-cut-its-hacking-skills-dsdailll6)

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