Moonshot AI · in Borg
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.
Reasoning1,048,576 tokenstext, image, video
Included in Borg
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| Specification | Value |
|---|---|
| Provider | Moonshot AI |
| Family | Kimi |
| Release date | 2026-07-16 Vendor source |
| Context window | 1,048,576 tokens Vendor source |
| Input modalities | text, image, video |
| Reasoning | Yes |
| Open weights | Yes |
| Borg lane ids | k3, k3-256k, moonshotai/kimi-k3 |
| Median time to first token (gateway proxy) on Borg | 8627 ms |
| Median tokens per second (end to end) on Borg | 18.1 output tokens per second |
Not published by the vendor: output modalities, thinking modes, knowledge cutoff, fusion roles.
What Kimi K3 is good for
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. Its long context can accommodate extensive repositories, documentation and tool histories; image and video understanding lets it inspect visual evidence while working on interfaces, designs or research. It always reasons, with adjustable effort for trading latency and token usage against difficult problem solving. Compared with K2.7 Code, it is the broader choice for mixed research, visual analysis and long-running projects, but its direct API token rates are higher. It is particularly useful when an agent must coordinate terminal operations and reconcile information spread across many files. Borg includes K3 in its subscription; Borg Fusion can route work to it, or users can choose its lane directly.
- 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
How Borg uses it
Kimi K3 is available as a subscription catalog lane in Borg. The catalog does not publish which Fusion profiles route to this model, so no routing role is claimed here. You can pick it directly by setting the OpenAI-compatible gateway model field to a listed lane id. Check the current catalog for availability before building a workflow around a lane.
model: "k3"Measured on Borg
| Metric | Median | 95th percentile | Samples |
|---|---|---|---|
| Time to first token (gateway proxy) | 8627 ms | 42705 ms | 7633 |
| Tokens per second (end to end) | 18.1 output tokens per second | 41.4 output tokens per second | 152924 |
Time to first token (gateway proxy)
Output tokens per second (whole turn)
- Time to first token (gateway proxy): time until the first streamed response event reaches the gateway; our closest available measure of time to first token
- Tokens per second (end to end): tokens per second, end to end: provider-reported output tokens divided by the whole turn's elapsed time, including queueing and reasoning; not a streaming per-token rate
Completion speed covers the whole turn including queueing and reasoning time; it is not a streaming tokens-per-second figure.
Measured on Borg: SearchAtlas AI Gateway production request logs. 30-day window ending 2026-10-08; 183015 requests. Minimum 100 samples per published request metric.
Benchmarks
| Benchmark | Vendor-reported score | Source |
|---|---|---|
| GPQA Diamond | 93.5 | Vendor source |
| DeepSWE | 67.5 | Vendor source |
| ProgramBench | 77.8 | Vendor source |
| FrontierSWE | 81.2 | Vendor source |
| SWE-Marathon | 42 | Vendor source |
Pricing
Included in Borg subscription. Vendor API list price: $3 input / $15 output per 1M tokens. Vendor price source.
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FAQ
What is Kimi K3?
Kimi K3 is listed in Borg's subscription catalog as 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.
Is Kimi K3 in Borg?
Yes. Kimi K3 is listed in Borg's subscription catalog under the lane k3. You can choose the lane directly, or explore the available Fusion profiles. Availability and model details can change; check the current catalog before deployment.
What context window does Kimi K3 have?
The published context window is 1,048,576 tokens. Consult the cited sources for details and current limits. Vendor source
Is Kimi K3 good for coding?
Vendor-published evaluations appear in the benchmarks section; their settings may differ from your tasks. Its listed uses include 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. Try the lane for your own tasks, and compare the output with your requirements before choosing a default.
How fast is Kimi K3 on Borg?
Measured on Borg: SearchAtlas AI Gateway production request logs. 30-day window ending 2026-10-08; 183015 requests. Minimum 100 samples per published request metric.
How much does Kimi K3 cost on Borg vs the API?
This model is included in the Borg subscription. The vendor API list prices appear below with a source link. See the pricing explainer and cost savings calculator to compare billing approaches.