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Moonshot · tested in Taskade Genesis

Kimi K2.7 Code in Taskade

Kimi K2.7 Code from Moonshot runs on the Max and Enterprise plans. We last tested it on Aug 25, 2026 in TSK-1, our app-building test.

Status
Available
Plan
Max and Enterprise
Your own key
No
Last test
Context window
262Ktokens
Max output
262Ktokens
Released
Knowledge cutoff
Where it runs
12services

TSK-1 scorecard for the Kimi family

TSK Score

Kimi family, across real apps made in Taskade Genesis

TSK Score 75 out of 100
Kimi family on the four TSK-1 axesInterfaceTaskMemoryAdapt
Interfaceready to share
Strong
Taskcompletes your task
Strong
Memorykeeps your data
Strong
Adapthandles follow-up edits
Strong

Tested once in August on the Dota 2 match tracker.

More

It finished a tracker with a match form and a dashboard, and closed with a clear summary of what it built.

Kimi on TSK-1

Published scores

Benchmark scores that Moonshot and test sites published for Kimi K2.7 Code. Taskade did not re-run them. Lab-reported marks a score from Moonshot itself.

Published benchmark scores for Kimi K2.7 Code, with sources
BenchmarkScore
MCP Atlassuccess rate · Kimi Code CLI · Hugging FaceLab-reported76%
More published scores (5)
Published benchmark scores for Kimi K2.7 Code, with sources: More published scores (5)
BenchmarkScore
Kimi Code Benchv2 · Kimi Code CLI · Hugging FaceLab-reported62
Program BenchKimi Code CLI · Hugging FaceLab-reported53.6
MLS Bench LiteKimi Code CLI · Hugging FaceLab-reported35.1
MCP Mark Verifiedsuccess rate · Kimi Code CLI · Hugging FaceLab-reported81.1%
Kimi Claw 24/7 BenchKimi Code CLI · Hugging FaceLab-reported46.9

LMArena scores

LMArena scores for Kimi K2.7 Code
BenchmarkScore
WebDev arena±9 · 4,963 votes · Rank 67 of 145 · LMArena1,474

Scores from the LMArena leaderboard dataset (CC BY 4.0). People vote between two answers, and the votes set the score. Taskade picked the Overall category and the default setting of each model.

How Kimi builds apps in TSK-1, our own test

Scores collected by models.dev (MIT). Each source links the page that published the score.

Versions tested

Open a version to read its findings.

Kimi K2.7 CodeTested Aug 20261 finding

Tested once in August on the Dota 2 match tracker. It finished a tracker with a match form and a dashboard, and closed with a clear summary of what it built.

Aug 25, 2026

Built a match tracker with a log form and a dashboard in about 30 minutes, but its three sample matches showed as empty cards, and it sent an email on every logged match in place of the weekly recap the request asked for.

See every Kimi result

Model facts

The token limits are the most the model accepts. Taskade can run it with lower limits.

Last updated
Input types
Text, Images, Video
Output types
Text
Reasoning
Yes
Tool calling
Yes
File attachments
Yes
Structured output
Yes
Open weights
Yes

Published specs from the model maker, via models.dev (MIT).

Where it runs

Services outside Taskade that serve Kimi K2.7 Code, from models.dev. Each link opens in a new tab.

How to choose Kimi K2.7 Code

  1. In the builder chat, open the model menu and choose More models. Then pick the model.
  2. In the agent editor, pick the model under All Models.
  3. If your model menu does not show the model, Taskade uses TSK-Auto instead.

Kimi in the docs

Where Kimi ranks

TSK Score out of 100.

Compare Kimi

Other Moonshot models

FAQ

Which Taskade plans include Kimi K2.7 Code?

Kimi K2.7 Code runs in Taskade on the Max and Enterprise plans. If your model menu does not show it, Taskade uses TSK-Auto instead.

Has Taskade tested Kimi K2.7 Code?

Yes. We last tested Kimi K2.7 Code on Aug 25, 2026 in the TSK-1 Benchmark. Tested once in August on the Dota 2 match tracker. It finished a tracker with a match form and a dashboard, and closed with a clear summary of what it built.

How do I choose Kimi K2.7 Code in Taskade?

In the builder chat, open the model menu and choose More models. Then pick Kimi K2.7 Code. In the agent editor, pick it under All Models.

Who makes Kimi K2.7 Code?

Moonshot makes Kimi K2.7 Code. Taskade runs it on the Max and Enterprise plans, beside frontier models from other top AI labs.