Legacy model blocks move across a routing bridge toward a long-context AI system beside an abstract deadline marker
Legacy model blocks move across a routing bridge toward a long-context AI system beside an abstract deadline marker
+ Large Language Models News

Kimi API sunset turns K3 migration into an August deadline

Kimi's model documentation now warns that K2.5 and moonshot-v1 are closed to new users and that the older platform sunsets on August 31.

Kimi’s documentation has turned the K3 launch into a deadline for developers still depending on older Moonshot APIs.

The current Kimi model page says kimi-k2.5 and moonshot-v1 are no longer available to newly registered users. It also says the full platform sunset is scheduled for August 31, 2026, and directs users to switch to newer models.

That makes Kimi K3 more than a headline model. It is now the migration target for teams that built against older Kimi and Moonshot endpoints.

The migration risk is compatibility

Kimi K3 is described in Kimi’s docs as a 2.8 trillion-parameter model with native visual understanding, a 1 million-token context window, and positioning around software engineering, knowledge work, and reasoning.

Those capabilities are useful, but migration risk rarely comes from the headline feature list. It comes from prompt drift, tool-call formatting, response length, latency, rate limits, content filtering, token accounting, SDK assumptions, and whether old workflows depended on quirks that newer models no longer preserve.

Teams should therefore treat the August 31 sunset as a production migration date, not just a documentation notice. A safe plan needs regression prompts, tool-call tests, long-context samples, cost comparisons, and fallbacks for routes that cannot move cleanly.

The old platform is closing in stages

The Kimi docs show a staggered cleanup across older model families. Some prior models already carry discontinued dates, while K2.5 and moonshot-v1 are now blocked for new users and moving toward the full-platform sunset.

That phased pattern is common when labs consolidate after a major generation change. It reduces support burden and nudges developers toward the new architecture. It can also break long-running applications if teams assumed model aliases would remain stable indefinitely.

For Kimi users, the practical question is whether the new K3 path preserves the parts they actually rely on: long context, coding behavior, multimodal inputs, agentic tool use, and regional deployment needs.

Sources

The AI Feed Desk

The AI Feed Desk

Editorial desk

The AI Feed Desk tracks AI provider updates, model releases, agent tooling, and enterprise adoption, turning fast-moving announcements into source-linked context for builders and operators.

Noticed a typo, incorrect information, or translation error?

Tell us so we can fix it.

Help Improve This Article

Related Articles

Two legacy API labels move toward a dated migration checkpoint beside new V4 model cards

DeepSeek legacy API model names hit a July 24 deadline

DeepSeek says the legacy `deepseek-chat` and `deepseek-reasoner` API model names will be discontinued on July 24, pushing developers to explicit V4 model IDs.

The AI Feed Desk

By The AI Feed Desk

A compact inference chip connects terminal panels and tool-call paths for a coding agent API

DeepSeek ships V4-Flash public beta with Responses API support

DeepSeek moved V4-Flash into public beta with native Responses API support, Codex configuration docs, and a new leaderboard entry for V4-Flash-0731.

The AI Feed Desk

By The AI Feed Desk

A coding model switchboard routes an open-weight model through policy gates and an incident pause marker

GitHub pauses Kimi K3 Copilot rollout during Actions incident work

GitHub added Kimi K3 to Copilot across major surfaces, then temporarily paused the rollout while mitigating a GitHub Actions incident.

The AI Feed Desk

By The AI Feed Desk

An open model engine sits on a lab table with layered context bands and a release-calendar marker

Moonshot launches Kimi K3 as an open 2.8T model

Moonshot's Kimi K3 pairs a 2.8T-parameter model, 1M-token context, API access, and a promised July 27 weight release.

The AI Feed Desk

By The AI Feed Desk

A luminous Q-shaped data path runs between cloud infrastructure and modular open model weights

Alibaba releases Qwen3.8-Max with QwenCloud access and open weights next week

Qwen3.8-Max puts Alibaba back into the frontier-model fight with a large coding-focused model available through QwenCloud now and open weights promised next week.

The AI Feed Desk

By The AI Feed Desk