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title: Kimi K3 Beat Claude at Coding. It Also Hallucinates 51%...
description: Kimi K3, a 2.8 trillion parameter open-weight model, outperformed Claude and GPT-5 in blind frontend coding benchmarks. However, independent evaluations...
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og:description: Kimi K3, a 2.8 trillion parameter open-weight model, outperformed Claude and GPT-5 in blind frontend coding benchmarks. However, independent evaluations...
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# Kimi K3 Beat Claude at Coding. It Also Hallucinates 51% of the Time.

**[Noor Mohammad](https://daily.dev/sources/ew9hy5zthevyyefagop4g)** · [@noormohammad](https://daily.dev/noormohammad) · 1 min read · 0 upvotes · 1 comments

## Summary

Kimi K3, a 2.8 trillion parameter open-weight model, outperformed Claude and GPT-5 in blind frontend coding benchmarks. However, independent evaluations revealed a 51% hallucination rate — worse than its predecessor. The post fact-checks major claims about the model against primary sources, clarifies what 'open weights' actually means in practice, and offers guidance for developers deciding whether to build with it.

## Content

Kimi K3: 2.8T params, largest open-weight model ever released, and in blind dev testing it beat Claude Fable 5 and GPT-5.6 Sol at frontend coding.

Then independent evals landed the other number: 51% hallucination rate — worse than its own predecessor.

Champion coder, confident liar, same model, same week. Hype threads gave you half; skeptics gave you the other half. This fact-checks every major claim against primary sources, covers why "open weights" ≠ what most people assume, and what a builder should actually do about it. 🔗
[https://medium.com/@reactjsbd/the-biggest-open-ai-model-ever-just-beat-claude-at-coding-it-also-hallucinates-half-the-time-83b50de39023?sharedUserId=reactjsbd](https://medium.com/@reactjsbd/the-biggest-open-ai-model-ever-just-beat-claude-at-coding-it-also-hallucinates-half-the-time-83b50de39023?sharedUserId=reactjsbd)

## Community discussion

Top comments from developers on daily.dev.

**@noormohammad** · 0 upvotes

> The "open weights" caveat is the part most coverage skips — weights available ≠ open source, and at 2.8T params, who's actually self-hosting this anyway? For anyone who's tried K3: is the frontend coding win real in practice, or benchmark-shaped? And how are you handling the hallucination rate — verification layer, task gating, or avoiding it entirely?

## Similar posts on daily.dev

- [I Tried Kimi K3 for a Week. Here’s What Happened.](https://daily.dev/posts/i-tried-kimi-k3-for-a-week-here-s-what-happened--ufveuen98) · Medium · 2 upvotes · 0 comments

---

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

[View this post on daily.dev](https://daily.dev/posts/kimi-k3-beat-claude-at-coding-it-also-hallucinates-51-of-the-time--dqhvdtiiu)

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