Kimi Claw 24/7 Bench (Kimi Claw 24/7)
We show this table for reference; we do not rank on it.
A Moonshot AI internal long-horizon agent benchmark for persistent professional coworking tasks.
Benchmark score on Kimi Claw 24/7 — November 13, 2026
We compile the Kimi Claw 24/7 rows from provider self-reports. Kimi K2.7 Code leads the table at 46.9%. We do not use these results to rank models overall.
1 modelAgenticCurrentDisplay onlyUpdated November 13, 2026
Benchmark score table (1 model)
The one result on this page was reported by the lab that built the model.
| Rank | Model / configuration | Score | Who ran it | Parameters (B) | Open / closed |
|---|---|---|---|---|---|
| 1 | Kimi K2.7 CodeMoonshot AIReported by Moonshot AI | 46.9% | Reported by Moonshot AI | Not reported | Open |
- Lab-reported
- Benchmark-run
- Independent
About Kimi Claw 24/7
Year
2026
Tasks
17 professional scenarios, 610 evaluation points
Format
Average pass rate across repeated OpenClaw runs
Difficulty
Long-horizon agentic work
Moonshot describes Kimi Claw 24/7 Bench as an in-house benchmark spanning 17 professional scenarios and 610 evaluation points across software engineering, ML research, recruiting, trading, and marketing. BenchLM stores the provider-reported exact value as display-only launch evidence.
Freshness and provenance
Version
Kimi Claw 24/7 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does Kimi Claw 24/7 measure?
A Moonshot AI internal long-horizon agent benchmark for persistent professional coworking tasks.
Which model scores highest on Kimi Claw 24/7?
Kimi K2.7 Code by Moonshot AI currently leads with a score of 46.9% on Kimi Claw 24/7.
How many models are evaluated on Kimi Claw 24/7?
1 AI models have published results on Kimi Claw 24/7 in the BenchLM catalog.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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