Kimi K2.7 Code: LiveBench scores and how to run it with BrainOutput
Kimi K2.7 Code is a model from Moonshot AI. In the LiveBench release of 2026-06-25 (fetched 2026-10-03) it ranks #58 of 66, with a global score of 68.41.
What is Kimi K2.7 Code?
Kimi K2.7 Code is listed on LiveBench, a public, continuously refreshed benchmark that scores models on seven categories: reasoning, coding, agentic coding, mathematics, data analysis, language and instruction following. Its strongest category in this snapshot: language (#42 of 66).
Its weights are published: it can run on hardware you control, with no per-token meter and no vendor who can change the model underneath you.
The model at a glance
| Vendor | Moonshot AI |
|---|---|
| Weights | Open-weight (weights published) |
| Licence | We verify the licence during the AI diagnostic |
| Release date (per LiveBench) | — |
| LiveBench identifier | kimi-k2.7-code |
LiveBench scores, dated
Score and rank out of 66 models, per category, in the LiveBench release of 2026-06-25 fetched 2026-10-03.
LiveBench, release 2026-06-25 · livebench.ai · 66 models · fetched 2026-10-03
Overall rank in this LiveBench snapshot.
Global score: the mean of the seven categories.
Gap to #1, Claude Fable 5.1 Max Effort (83.41).
| Category | Score | Rank |
|---|---|---|
| Reasoning | 82.81 | #44 / 66 |
| Coding | 73.96 | #51 / 66 |
| Agentic coding | 45.66 | #51 / 66 |
| Mathematics | 79.60 | #61 / 66 |
| Data analysis | 62.66 | #61 / 66 |
| Language | 77.91 | #42 / 66 |
| Instruction following | 56.29 | #63 / 66 |
| Global (mean of the 7 categories) | 68.41 | #58 / 66 |
Method note: the global score is the mean of the seven category averages, computed by us from LiveBench's published file; it may differ by a few decimals from the site's own display. Equal scores keep LiveBench's file order. Benchmarks measure benchmark tasks — during an AI diagnostic we re-run the comparison on your own workloads.
Running Kimi K2.7 Code with BrainOutput
BrainOutput routes each task to a model by confidentiality: sensitive work stays on a local or private model, and everything else goes to a cloud model only when your policy allows it.
Locally, on your hardware
Available
The weights run on a machine on your premises. The right hardware depends on model size and concurrent users: we size it during the AI diagnostic.
In a private cloud
Available
The same model, served from dedicated private inference, under the same routing policy as on-premises.
With your own key (BYOK)
Available
If a hosted service you already pay for offers this model, plug in your key: BrainOutput sends it only non-sensitive work, and only when your policy allows it.
Frequently asked questions
Is Kimi K2.7 Code an open-weight model?
Yes: its weights are published. You can run it on your own hardware or in a private cloud; licence terms vary by model and we check them before any deployment.
Can we use Kimi K2.7 Code with BrainOutput?
Yes: locally on your hardware, in a private cloud, or through your own API key (BYOK). Hardware sizing is done during the AI diagnostic, for your workload — we do not publish figures we have not measured.
Where do these scores come from?
From LiveBench (livebench.ai), release 2026-06-25, file fetched 2026-10-03. The global score is the mean of the seven categories, computed by us. The ranking changes monthly; we re-verify at diagnostic time.
Find out whether Kimi K2.7 Code fits your work
An AI diagnostic maps your processes, classes what is sensitive, and benchmarks current models against your real tasks — dated numbers, yours this time.
Sources
- LiveBench — leaderboard, release 2026-06-25 — accessed 2026-10-03