Kimi K3-256k
Model Configuration 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 four model IDs, selectable by model ID in clients or third-party tools. Model specs:Recommended model launchk3-256k is now available. Within 256k context, it delivers the same results. k3 (1M) consumes about twice as much quota as k3-256k.
- ▪Model Configuration 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 four model IDs, selectable by model ID
- ▪Model specs:Recommended model launchk3-256k is now available.
- ▪Within 256k context, it delivers the same results. k3 (1M) consumes about twice as much quota as k3-256k.
Hacker News (Front Page) files mainly under programming. We currently carry 787 of its stories. Top-voted stories on Hacker News.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Kimi |
| Canonical URL | https://www.kimi.com/code/docs/en/kimi-code/models |
| Publication time | Wed, 29 Jul 2026 19:25:33 +0000 |
| Retrieval time | 2026-07-29T19:36:02.164Z |
| Last seen | 2026-07-29T19:36:02.164Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Model Configuration 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 four model IDs, selectable by model ID in clients or third-party tools. Model specs:Recommended model launchk3-256k is now available. Within 256k context, it delivers the same results. k3 (1M) consumes about twice as much quota as k3-256k. Ideal for everyday Q&A, code completion, routine feature development, and single-file or small-file edits — video input is not supported.💓 ReminderSwitching from K3 (1M) to K3-256k: When switching from k3 (1M) to k3-256k, if the current session's context already exceeds 256k, some coding tools such as Kimi Code CLI and Claude Code will perform a compact…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Kimi.
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