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How to Use Kimi K2.6 in OpenClaw
Super Jarvis · 2026-04-24 · via DEV Community

If you want to run Kimi K2.6 inside OpenClaw, the question that actually matters isn't "is it possible?" — it's "which part is already documented, and which part depends on your local install catching up?"

As of April 21, 2026, here's where each side stands. OpenClaw's Moonshot provider docs clearly document the Moonshot AI (Kimi) provider flow, but those docs still show moonshot/kimi-k2.5 as the built-in default. Moonshot's own K2.6 docs confirm K2.6 is already available on the same Moonshot Open Platform API, and the K2.6 tech blog explicitly calls out strong performance in OpenClaw-style proactive agent workflows.

So the practical read is simple: K2.6 lives on the same Moonshot provider path, but your specific OpenClaw install may still need a catalog refresh or an upgrade before the model shows up out of the box.

New to Kimi K2.6? Try Kimi K2.6 for free.

Short Answer

Go with Kimi K2.6 in OpenClaw if you want stronger long-horizon coding, better long-running agent reliability, or a Moonshot-backed model that holds up in persistent agent loops.

Stay on K2.5 for now if your current OpenClaw catalog only exposes moonshot/kimi-k2.5, if you want the most explicitly documented model path available today, or if you're optimizing for the least migration risk.

What the Docs Already Confirm

OpenClaw side

OpenClaw's Moonshot provider documentation spells a few things out: Moonshot provides OpenAI-compatible endpoints; you configure the provider through openclaw onboard; and the documented built-in Moonshot catalog includes moonshot/kimi-k2.5, moonshot/kimi-k2-thinking, moonshot/kimi-k2-thinking-turbo, and moonshot/kimi-k2-turbo.

Moonshot side

Moonshot's K2.6 quickstart is equally direct: kimi-k2.6 is released, runs on the same Moonshot API family, supports text, image, and video input, supports thinking and non-thinking modes, and is designed for dialogue and agent tasks.

Why this matters

Put both sides together and the conclusion falls out on its own: K2.6 is not a separate provider or a separate integration family. It's a newer Moonshot model sitting on the same API surface OpenClaw is already wired into.

Why Kimi K2.6 Is Interesting for OpenClaw

Moonshot's K2.6 tech blog makes a claim that's particularly relevant for OpenClaw users: K2.6 improves long-horizon coding, instruction following, long-running reliability, and proactive agent behavior. The same blog explicitly lists OpenClaw and Hermes in its "Proactive Agents" section as environments where K2.6 performs strongly.

That's the right mental model here. K2.5 is the safer documented default today. K2.6 is the better pick if you want the stronger coding/agent model — assuming your OpenClaw install can actually see it.

Setup Flow for Kimi K2.6 in OpenClaw

1. Choose the Moonshot provider

Use OpenClaw's Moonshot provider, not the separate Kimi Coding provider. They're documented as two different providers, with different keys, different endpoints, and different model references. For K2.6 through the main Kimi API, Moonshot is the correct path.

2. Pick the right region

Moonshot exposes two regional base URLs:

  • International: https://api.moonshot.ai/v1
  • China: https://api.moonshot.cn/v1

Make sure your OpenClaw setup points at the region you actually intend to use. Region mismatches are one of the most common ways a correct setup ends up looking broken.

3. Run provider onboarding

Use OpenClaw's Moonshot onboarding flow:

openclaw onboard --auth-choice moonshot-api-key

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4. Verify which Moonshot models your OpenClaw install can see

Before forcing K2.6 as the default, check the current catalog:

openclaw models list --provider moonshot

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This is the checkpoint that matters.

If moonshot/kimi-k2.6 is listed

Set it as your default model:

{
  "agents": {
    "defaults": {
      "model": { "primary": "moonshot/kimi-k2.6" }
    }
  }
}

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If moonshot/kimi-k2.6 is not listed

Don't assume the provider path is wrong. The more likely explanations are that your OpenClaw version has an older bundled Moonshot catalog, or your catalog just hasn't been refreshed yet. Update OpenClaw first, then re-check the Moonshot model list.

Practical Recommendation

If your current OpenClaw build only exposes moonshot/kimi-k2.5, the safest upgrade path is pretty boring: keep Moonshot as the provider, update OpenClaw, re-run openclaw models list --provider moonshot, and only switch to moonshot/kimi-k2.6 once it actually shows up in your local catalog.

That's significantly safer than guessing or hardcoding a model reference your current install doesn't recognize.

Kimi K2.6 vs K2.5 Inside OpenClaw

For OpenClaw specifically, the upgrade case is easy to frame.

K2.5 is the better pick when you want the most documented path, the least setup ambiguity, or when your current OpenClaw workflow already works well.

K2.6 is the better pick when you want better long-running coding behavior, stronger agent loops, better instruction following, and more autonomy in persistent workflows.

Things to Watch

Provider docs can lag new model releases, which is why openclaw models list --provider moonshot is a much more reliable signal than reading a model name out of a blog post.

Moonshot's K2.6 docs also note a couple of constraints that carry over into OpenClaw usage: thinking mode has tool-calling restrictions, and the builtin $web_search is currently incompatible with thinking mode. If your OpenClaw workflow depends on web search, keep that in mind when deciding your default behavior.

And again — region mismatch is a recurring trap. In a provider-driven system like OpenClaw, pointing at the wrong Moonshot regional endpoint is still one of the fastest ways to make a correct setup look broken.

Final Verdict

Yes, Kimi K2.6 is a good fit for OpenClaw. The mistake would be assuming every local install already exposes the model reference.

The right sequence is straightforward: use the Moonshot provider, use the correct regional endpoint, verify your installed Moonshot model catalog, and switch to moonshot/kimi-k2.6 once your local OpenClaw build actually exposes it.

If your priority is long-horizon coding and steadier proactive agents, K2.6 is probably the model you want. If your priority is the smoothest documented setup available today, K2.5 is still the safer default.

Sources

- Kimi K2.6 tech blog

Source article: https://kimi-k25.com/use-kimi-k2-6-in-openclaw
Homepage: https://kimi-k25.com/

Model pages: