Model maker

Moonshot AI models in Borg

Moonshot AI develops the Kimi family of models. Borg carries Kimi lanes for general and coding work.

Models carried
2
Confirmed reasoning models
2
Maximum published context
1,048,576 tokens Vendor source

Explore Moonshot AI models

ModelContextReasoningReleaseBest forBorg speedBench
Kimi K31,048,576 tokens Vendor sourceYes2026-07-16 Vendor sourcelong-horizon coding across large repositories18.1 output tokens/s (whole turn)—
Kimi K2.7 Code262,144 tokens Vendor sourceYes—multi-file coding with iterative test runs24.2 output tokens/s (whole turn)—

Models in detail

These are the Moonshot AI models currently listed as live in the Borg directory. The descriptions below summarize each model's published use cases; the linked model pages give the full account. A lane id is the value you use to select a model directly in the Borg gateway, not a separate model name. Check the linked pages for context windows, reasoning support and any vendor API list prices before choosing a lane for your work.

Kimi K3

Kimi K3 is Moonshot AI’s flagship K3 generation, a larger open-weight model aimed at demanding engineering and knowledge-work agents rather than the narrower, lower-priced K2.7 Code.

Best for Kimi K3:

  • long-horizon coding across large repositories
  • research agents synthesizing extensive source material
  • visual debugging of interfaces and design work
  • tool-driven engineering with persistent context

Borg lane ids: k3, k3-256k, moonshotai/kimi-k3. Open the model page for its full description, available specifications, vendor price sources, and routing roles.

Kimi K2.7 Code

Kimi K2.7 Code is Moonshot AI’s coding-focused successor to K2.6, retaining its vision-capable architecture while improving long-horizon software engineering and instruction following.

Best for Kimi K2.7 Code:

  • multi-file coding with iterative test runs
  • long-context instruction-following in codebases
  • tool-using development agents
  • visual inspection during frontend fixes

Borg lane ids: kimi-for-coding, kimi-for-coding-highspeed, moonshotai/kimi-k2.7-code. Open the model page for its full description, available specifications, vendor price sources, and routing roles.

How Fusion uses Moonshot AI

Borg Fusion can route between models in the subscription catalog according to the task and the selected profile. Having a Moonshot AI lane in the catalog does not mean that every Fusion profile will choose it for every request. No specific routing assignments for Moonshot AI are published in this catalog. The model pages distinguish published routing roles from use cases, so you can compare options without assuming a benchmark result or a routing guarantee. You can also choose a listed lane directly if you want to control which model handles a request.

FAQ

Which Moonshot AI models are in Borg?

The table and model details above list the current live Moonshot AI models in Borg. Each linked page includes the model's lane ids and available specifications. Models awaiting identity review are not shown as live.

How does Fusion use Moonshot AI?

Fusion profiles select from available lanes depending on the task. Consult each Moonshot AI model page for its published Fusion roles; a missing role is not evidence that the model cannot be selected directly.

Can I select a Moonshot AI lane directly?

Yes. Open a Moonshot AI model page to find its Borg lane ids and the compatible gateway model field. Use the lane id rather than the public page slug when choosing a model directly.

Other providers

Compare Moonshot AI with other makers in the same Borg subscription: Anthropic · OpenAI · Google · xAI · Z.ai · Meta · Borg

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