Kimi K3 已上线
Kimi K3 Is Live

原始链接: https://www.kimi.com/code/docs/en/kimi-code/models

Kimi Code 提供三种模型变体,分为两个层级:旗舰版 **Kimi K3**(支持最高 1M 上下文)以及稳定版 **Kimi K2.7 Code**(提供标准版和高速版,支持 256k 上下文)。具体访问权限取决于您的订阅方案(Moderato、Allegretto 等)。 **使用要点提示:** * **缓存管理:** 切换模型或推理设置会使上下文缓存失效,导致更高的 token 消耗。为优化性能和成本,在更改模型或推理强度时,请开启新的会话。 * **性能:** 如果“高速版”(HighSpeed)没有提升速度,请确认您使用的模型 ID 是否正确(`kimi-for-coding-highspeed`)。此外请注意,速度提升仅适用于模型输出,不适用于工具或脚本的执行过程。 * **错误处理:** 401 错误通常表示您当前的订阅方案不支持所请求的模型、上下文长度或高速访问权限。 * **切换方式:** 可使用 CLI 中的 `/model` 命令、VS Code 插件中的下拉菜单,或在第三方工具中手动更新模型 ID。使用第三方工具时,请手动将上下文窗口设置为 `1048576`,以充分利用 K3 的 1M 容量。

```Hacker News 最新 | 过往 | 评论 | 提问 | 展示 | 招聘 | 提交 登录 Kimi K3 已上线 (kimi.com) 12 分,由 milsebg 发布于 2 小时前 | 隐藏 | 过往 | 收藏 | 1 条评论 帮助 unreal6 18 分钟前 [–] 重复内容 https://news.ycombinator.com/item?id=48935342 回复 考虑申请 YC 2026 年秋季批次!申请截止日期为 7 月 27 日。 准则 | 常见问题 | 列表 | API | 安全 | 法律 | 申请 YC | 联系 搜索:```
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原文

This page covers the models Kimi Code provides and how to switch between them in each client.

Model Overview

Kimi Code currently offers two models—Kimi K3 and Kimi K2.7 Code—across three model IDs, selectable by model ID in clients or third-party tools. Model specs:

Model IDk3kimi-for-codingkimi-for-coding-highspeed
ModelKimi K3Kimi K2.7 CodeKimi K2.7 Code
DescriptionKimi's most capable flagship model to date; especially strong at coding, games/3D, and knowledge tasksA mature, reliable Coding model—follows instructions reliably over long context and completes coding tasks with a high success rateThe high-speed version of K2.7 Code, with the same coding ability as Standard
SpeedRegularRegularHighSpeed (6× speed, 3× quota usage)
Context windowUp to 1M256k256k
Reasoningthinking.effort:max / reasoning_effort:max (low and high supported later)Thinking:ONThinking:ON
AvailabilityAndante: not supported
Moderato: 256k context
Allegretto and above: up to 1M context
All membersAllegretto plan or above

Need a higher membership plan?

Different membership plans unlock different models, context windows, and speeds. Upgrade your plan →

Why did usage go up after the new model launched?

After switching models, the context cache built earlier no longer hits on the new model, so that context has to be re-prefilled. Usage therefore looks higher right after switching. Recommended action:

  • Start a new session when using the new model: this gives better results and lower consumption.
Why do I still get a 401 with the correct model ID?

When the requested capability exceeds your plan's entitlements, the server returns 401. Three common cases:

  • No K3 access: your plan is below Moderato and can't call k3 — upgrade to Moderato or above.
  • No 1M access: on a Moderato plan, k3 supports up to 256K context; up to 1M context is available on Allegretto and higher tiers.
  • No HighSpeed access: some plans don't include HighSpeed — upgrade to Allegretto or a higher tier to call kimi-for-coding-highspeed.

For the full error text and how to handle it, see the Error Reference.

Why isn't HighSpeed noticeably faster?

Two common reasons:

  • Mistyped model ID: the HighSpeed ID must be kimi-for-coding-highspeed; a wrong value silently falls back to the standard kimi-for-coding — no error, no speedup.
  • Tools and scripts dominate: HighSpeed only speeds up model output. Tool calls (reading/writing files, running commands, etc.) and script execution are unaffected, so when they take up most of a turn the overall speedup feels small.
How to reduce the overhead of switching reasoning effort?

Switching reasoning effort invalidates the context cache you've built up, so context that would have hit the cache must be re-prefilled. To avoid triggering re-prefill too often:

  • Pick an effort that fits the task and keep it consistent within a session;
  • When you genuinely need a different effort, start a new session rather than switching back and forth in a long session.

How to Switch Models

Use K3 in a New Session

Switching models invalidates the existing cache. Start a new session to avoid extra token costs and get a better experience.

Ways to switch to the target model:

  • Official Kimi Code CLI: type /model in a session to switch between models—no config changes needed.
  • Kimi Code for VS Code: pick the target model from the dropdown menu in the input bar; if it isn't listed yet, restart VS Code or reinstall the extension.
  • Third-party tools: set the tool's Model ID to the target model. For where to find it in each tool, see Using in Other Coding Agents.

Before using K3 in third-party tools

K3's setup differs slightly from K2.7 Code. Before using it, check the two points below:

  • Context window: some tools default to a context window smaller than the max 1M—manually set the context-window field to 1048576 to use K3's full up-to-1M context.
  • Reasoning effort: K3 currently supports max only; low and high will be supported later. The effort a tool sends is mapped as below:
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