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测评与证据

Kimi K3 · 社区来源 · 个人体验

社区实测:研究与拒答体验受提示和 API 路由影响

Reddit 用户对 Kimi K3 日常研究、编码和拒答的个人体验。

待验证:本次未能重新核实原文。下方历史数字不代表已核实的当前结果。

社区来源个人体验编辑日期 2026-09-20

测试条件速查

条件
来源:r/LocalLLaMA;作者与样本未统一控制
条件
环境:OpenRouter/API 与不同使用场景
条件
内容:体验和 benchmark 对照,不是同一 harness 实验

关键数据与适用场景

文章正文

跳到主要内容 How does Kimi k3 feel? Does it match up where it stands on benchmarks? : r/LocalLLaMA 在 Reddit 上投放广告 打开聊天 创建 创建帖子 打开收件箱 展开用户菜单 转载 转到“LocalLLaMA” r/LocalLLaMA • 1个月前 superSmitty9999 How does Kimi k3 feel? Does it match up where it stands on benchmarks? Kimi k3 的感受如何?它在基准测试中的表现是否与实际相符? Question | Help

I've seen the benchmarks, they supposedly right up there with Fable 5 and Sol 5.6. 我看过基准测试,据说它的表现与 Fable 5 和 Sol 5.6 不相上下。

Howerver I'm skeptical of benchmarks and the kimi k3 creators even mentioned the user experience isn't quite on par. 然而我对基准测试持怀疑态度,就连 Kimi K3 的开发者也提到,用户体验尚未达到理想水平。

How is K3 doing on coding? How is the personality? Does it's thinking and train of thought feel high quality or sort of insane? Common sense? K3 在编程方面表现如何?它的性格特征怎样?它的思考过程和思维脉络感觉质量高,还是有点疯狂?常识呢?

Trying to get a sense of the quality in real world use. 想了解在实际使用中其质量如何。

共享 kalshi_official • 已推广 2028 PRESIDENTIAL ELECTION ODDS: Check today's latest moves on Kalshi.com 了解更多信息 kalshi.com 排序方式: 评论区域 eli_pizza • 1个月前 前 1% 最受欢迎的评论者

Put a couple bucks in openrouter and you can try it. It’s good. 在 OpenRouter 里充几美元,你就可以试用了。很不错。

回复 共享 mo-powerbuilder • 1个月前

Is open router good? Open Router 好吗?

回复 共享 RecordingOk3922 • 1个月前

I personally like it 我个人很喜欢它

回复 共享 eli_pizza • 1个月前 前 1% 最受欢迎的评论者

I mean if you only want to use Kimi you can also just give them a few bucks and use it directly. But yes openrouter is good and lets you easily test pretty much any model through one endpoint. 我的意思是,如果你只想使用 Kimi,也可以直接给他们几美元,直接使用。但确实,OpenRouter 很好,让你可以通过一个端点轻松测试几乎任何模型。

回复 共享 SporksInjected • 1个月前 前 1% 最受欢迎的评论者

When the API is available 当 API 可用时

回复 共享 aboutthednm • 1个月前

Is it not live here? 它这里不是实时的吗?

https://openrouter.ai/moonshotai/kimi-k3

Do I misunderstand what you're asking? 我是不是误解了你的问题?

hidden2u • 1个月前 前 1% 最受欢迎的评论者 Regular-Anybody2645 • 1个月前

The whole world wants to use it and nobody else is hosting until open weights on the 27th at the least.

eli_pizza • 1个月前 前 1% 最受欢迎的评论者

It works though.

backyard_tractorbeam • 1个月前

K3 is available on opencode go now too. Or, it's at least in the price list, haven't tried it.

LMTLS5 • 1个月前

you can use it for free in their chat app too. it is indeed good

zeroccx • 27天前

Same. I didn’t really buy the hype until I used it myself. Honestly, if models like this keep coming out, the US should be more worried about staying competitive than trying to slow everyone else down by their nonsense restrictions

FBIFreezeNow • 1个月前

Feels like Fab Fable’s younger brother and Opus 4.8’s uncle and Sonnet’s mom. It certainly doesn’t feel like it’s related to gpt family though

jeekp • 1个月前

Thanksgiving is gonna be awkward this year

MeretrixDominum • 1个月前

I should put aside $1000 and have a group chat with them all at the same tims and see who I can seduce first

PhantomGaming27249 • 1个月前

Best ui model I have ever used and as good as 5.6 sol on the backend. Genuinely amazing model.

superSmitty9999 • 1个月前

Can you specify more about what you asked it and your use case? Thanks!

PhantomGaming27249 • 1个月前

GPU kernal optimization work and reworking a ui of a project I have been doing. Did excellent work on both tasks.

robkkni • 1个月前

Wow! That's some non-trivial work!

superSmitty9999 • 27天前

Awesome that they don't sandbag you on AI work lol

u/Kurrent-dot-io • 已推广 Capacitor is a free multiplayer shared coding session memory across Claude, Codex, Cursor, Pi, OpenCode and more. 查看更多内容 kurrent.io Admirable_Market2759 • 1个月前 前 1% 最受欢迎的评论者

It lives up to the hype

ShelZuuz • 1个月前

I gave it $100 today and told it to fix a Rust bug that I've just one-shot fixed with Fable on another machine in 15 minutes. Wanted to see what the equivalent cost would be for a direct comparison.

Then when I checked on it later it just ran itself out of credits and having gotten nowhere.

Exactly the same prompt as Fable. Basically described where an application output was drifting from the spec and told it to read the spec and look at the output then fix whatever is causing the application to not match the spec. It found the area in the spec, but then continued to read the spec (500 pages) for some unknown reason. And it made fixes which it was just guessing it without it being based on the spec.

I'm sure I can get it to write code if I hand it the correct C++ file and tell it what function to fix, like you would do with Haiku, but this model is supposed to compete with Fable head-on, not Haiku.

SentientPetriDish • 1个月前

same model that crashed the S&P 500, lmao

hellomistershifty • 1个月前

Yeah this was my experience with GLM-5.2. Just endless reading until the thinking hits the context limit, and repeat. Great for smaller stuff but hits a wall in a big codebase

ebolathrowawayy • 1个月前 martinerous • 1个月前 • 1个月前 编辑

Tried it on OpenRouter for a horror adventure roleplay. Surprising - it even speaks Latvian better than GLM (and Grok), but not as good as Gemini, GPT or Claude. Also, I liked how it builds the environment, feels less naive/cliche, when compared to Gemini, which I'm the most familiar with. Also, it followed my prompt instruction to make characters silent when they are alone. Gemini did not follow this, always wanting to "think aloud". Not good thing - coherence of characters actions somehow did not seem as good as Gemini Pro. Some stuff just did not make sense. It could be because of Latvian, and it might be better for English though.

And as it is smarter in general, it's also smarter with refusals - it picks up hints of things it doesn't like that potentially might lead to unethical behaviors. So, it will not play evil characters. I (naively) hope it's in the system prompt and not baked into the model.

And it's quite slow on OpenRouter. I imagine, the demand is huge now.

studansp • 1个月前

Just wanted to say sveiks 🇱🇻 - Latvian American and that's all I know.

martinerous • 1个月前

Thanks :) Yeah, we had quite many people leaving Latvia and finding their new home in the US during the tough war and USSR occupation times.

superSmitty9999 • 1个月前

If you're running it on api via OpenRouter, you control the system prompt right? So it's probably just censored.

martinerous • 1个月前

I think so, and that would be sad. But then, there might be hidden additional prompts or filters in-between the provider and OpenRouter. For example, Google have special content HarmCategory settings that are available in their direct API, and Gemini can become quite evil when all filters are turned down, but I suspect they are exposing Gemini on OpenRouter and elsewhere with more strict settings. Who knows, what Kimi providers are doing behind the scenes and if they have any filters...

u/RedditforBusiness • 已推广 Reach 443M+ high-intent audiences on Reddit. 注册 ads.reddit.com TimAndTimi • 1个月前

Mr. Dario responsed by making Fable 5 staying in Max amd Pro plans.

geteum • 1个月前

I gave a try today in a code optimization I have solved recently but sol failed. It failed as well hahaha but it was interesting what it suggested. For this problema I spent around 10 dollars with sol and 2 with Kimi.

The issue is a double loop with two operations ordered in way that lead to a huge memory consumption. Altering the order is enough to reduce the memory by a factor of ten. I dont know why but no LLM can figure this.

rpeck • 1个月前

Did you try hinting to them to think through the memory access pattern because you think that might be the problem? (aka is often the problem with inner loops like this)

is)

Temporary_Stick_6664 • 1个月前

you're too smart bro

real_serviceloom • 1个月前

So, I've been using it as my main model.. I do heavy backend work with Rust...

It definitely feels fable class. It is really good. It can also understand things very thoroughly, similar to feeble in that regard, where you can give it some sentence which makes sixty percent sense and can figure out what you mean exactly.

If I have to criticize it, maybe the only one is that it is really slow and it thinks quite a lot, but I think that's also because I haven't fully learned how to drive the model and that's something that comes with experience.

tomekza • 1个月前

"feeble" 😂

real_serviceloom • 1个月前

lmao just realized that typo. keeping it as i think its a good slip.

New_Alps_5655 • 1个月前

So far I'd say it's exactly where the benchmarks show. Only a hair behind Fable at a fraction of the price.

Cupakov • 1个月前

Haven’t tried it with coding tasks but with research it seems kind of hesitant to look stuff up. When reminded (or with a system prompt that emphasises search tools) it excels though, really impressed. I’m using it with GPT5.6 Sol as a fallback and it’s really hard for me to pick which produces better outputs.

ShamanJohnny • 1个月前

Every model has its strengths. The strengths of this model are the Design,UI/UX, and writing. For everything else i would just use Sol.

matrik • 1个月前 • 1个月前 编辑

I tried documenting a complex and badly written repo with it. It did an amazing job, far beyond opus, without finding any excuses or shortcuts. Downside is that it consumed the 5h budget in about 10 minutes, so I had to upgrade from moderato (cheapest) to allegretto (2nd cheapest). The whole job took ~30 minutes, and t/s was around 10-15. I believe they are experiencing overload due to the hype.

I'm very satisfied with the end result, but it was a bit more expensive than I expected.

Overall, it convinced me to test it as a daily driver. It would have been so much better if I can run it on my hardware.

Southern_Sun_2106 • 1个月前

If they don't screw around with model quality behind the API, like both OpenAI and Anthropic does, that in itself will be a reason to switch.

segmond • 1个月前 llama.cpp 前 1% 最受欢迎的评论者

send me some money and I'll try it and let you know.

superSmitty9999 • 1个月前 • 1个月前 编辑

What's your email and phone number I'll zelle it to you /s

NaiveDragonfruit • 1个月前

where are the model weights

Any-Conference1005 • 1个月前

27th

Ylsid • 1个月前

It's good but waffles too muc 前 • 1个月前 编辑

What's your email and phone number I'll zelle it to you /s

NaiveDragonfruit • 1个月前

where are the model weights

Any-Conference1005 • 1个月前

27th

Ylsid • 1个月前

It's good but waffles too much

jarec707 • 1个月前

Check out Ethan Mollick’s tweets: x or Bluesky. He provides a balanced view. TL;DR Kimi 3 is in a class below Fable and ChatGPT equivalent. Kimi made some significant errors in academic work. All in all a very good but not superb model.

PinEnvironmental6395 • 1个月前

Read it. He is coping extremely hard. 

jarec707 • 1个月前

I don't quite follow, say more? I've experienced him as a knowledgeable, experienced power user without an axe to grind.

DryWeb3875 • 1个月前

So is it Ethan Bollicks?

RadioactiveBread • 28天前

No idea what these people are on about when they say its "definitely Fable class". If you think it's Fable class you aren't doing tasks that require Fable.

DauntingPrawn • 27天前

Opus 4.8 without the kvetching.

ketosoy • 1个月前 前 1% 最受欢迎的评论者

In my minimal testing, it has lived up to the hype.

I tried it on an ascii art problem opus and gpt5.6 had both struggled with and it did great.

I also had it mock up a simple 3d education game “neon diner with tron vibes” and it nailed the vibe and the UI was legitimately good with 4 prompts.

NUMERIC__RIDDLE • 1个月前

I like it. Sometimes it says some out-of-pocket shit. Honestly, it finally feels like a model that can actually replace all of my Claude use for me. And that's on vibes.

创建于 2023年3月10日 公共 90万2.8万 用户标识 1llegi 社区书签 维基 Best LLMs Megathread  最佳 LLMs 综合帖 Best VLMs Megathread  最佳视觉语言模型合集帖 Best TTS/STT Models  最佳语音合成/语音识别模型 R/LOCALLLAMA 规则 1 Please search before asking   请先搜索再提问 2 Off-Topic Posts   非主题帖子 3 Low Effort Posts   低努力发帖 4 Limit Self-Promotion   限制自我推广 5 Follow Reddit's Content Policy   遵守 Reddit 的内容政策 SOCIALS  社交平台 AMA 版主 向版主发送消息 u/HOLUPREDICTIONS

Sorcerer Supreme   至尊法师 Yo  嘿 u/AskGrok Grok u/ArcaneThoughts u/Lissanro u/townofsalemfangay u/XMasterrrr

LocalLLaMA Home Server Final Boss 😎 @TheAhmadOsman u/rm-rf-rm

u/WithoutReason1729 u/No_Afternoon_4260

llama.cpp u/ttkciar

llama.cpp 查看所有版主 已安装的应用 Admin Tattler Bot Bouncer Reddit 规则 隐私政策 用户协议 你的隐私选择 辅助功能 Reddit, Inc. © 2026。保留所有权利。 折叠“导航” 创建社区 REDDIT 上的游戏 定制信息流 创建自定义信息流 最近访问 r/opencodeCLI r/chrome r/Notion r/todoist 社区 管理社区 资源 关于 Reddit 广告 开发者平台 Reddit Pro 测试版 帮助 博客 职业 新闻 Reddit 最佳 Reddit 规则 隐私政策 用户协议 你的隐私选择 辅助功能 Reddit, Inc. © 2026。保留所有权利。

能支持的判断

  • Reddit 用户对 Kimi K3 日常研究、编码和拒答的个人体验。

不能支持的判断

  • 内容:体验和 benchmark 对照,不是同一 harness 实验

方法、局限和复现

本文中的数字、任务集、推理档位和客户端条件只在所列来源及采集时点内成立。不同版本、不同 harness 或不同提供商的数据不能直接并排比较;未公开的参数保持未知。

需要复测时,请固定模型版本、提供商或客户端、推理档位、工具、任务集版本、样本数和采集日期,并记录失败、重试与人工修正。完整方法和复现步骤见下方来源笔记。

原始来源

Reddit / r/LocalLLaMA · superSmitty9999 等 Reddit 用户 · 原文发布日期 Unknown · 本站编辑日期 2026-09-20

打开原始来源

Kimi K3

在 Tabbit 中比较 Kimi K3

下载 Tabbit 客户端后检查模型可用性

模型深度阅读

定价 · 简体中文

Kimi K3 价格:API 成本、会员方案与预算计算

用官方费率解释 Kimi K3 的 API 价格、缓存写入、会员方案和三种实际预算场景。

相关评测

能力很强但慢且耗 token:个人判断需留误差条X 上的能力评论,强调最大努力基准、实践表现与闭源前沿的差距。强大且便宜并非完整结论:社区对成本与能力的分歧LLMDevs 讨论 Kimi K3 的能力、价格与实践取舍。发布基准很强,但生产选型需拆开能力、成本和部署Enter Pro 的模型综述,涵盖规模、开放权重、基准与部署讨论。把可核验事实与未核验宣传分开Layer3Labs 综述,明确区分模型规格、基准来源与实践建议。把 Kimi API 请求写成可验收任务将官方提示词建议落成角色、背景、约束、格式和验收条件的执行清单。来源没有提供一条可直接复制的完整通用 prompt。把 Kimi K3 的提示词拆成可执行约束围绕“把 Kimi K3 的提示词拆成可执行约束”整理来源中的任务边界、输入和执行环境;完整步骤与限制见详情。把 Kimi K3 的 Agent loop 拆成可控步骤依据 Kimi API 指南,将任务拆解、工具 schema、循环控制、权限和终检串成可复查流程;不会在 Tabbit 中自动配置工具。用九步流程把需求转成可审查代码变更Kimi AI 的编码工作流强调先计划、再实现、再验证;适用于有仓库和验收标准的变更,不等于模型已替你运行测试。