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Evidence record

Kimi K3

Cybench · Evidence record

Sources and provenance ↓ Read the research narrative →

Source snapshot, chart and review scope →

Original source charts and materials

Recorded measurements

Pass@1
97.4%

38/39

Harness not specified · 3 submission attempts/challenge; unlimited wall-clock

Assessment provenance

Evaluating Kimi K3 for Misalignment Risks → · External report

Actual evaluation: Neo Research · Model record →

Method and scope

Task completion on 40 professional CTF problems.

Evidence type
Benchmark
Assessment subject
AI agent solving CTF tasks
Primary dimension
Capability
Evidence snapshot
2026-10-29.1

Primary dimension follows the source’s measured construct. Metric-level interpretations may differ.

Source finding

Pass@1: 97.4 %. Conditions are retained from the source.

Limitations

Competition tasks and supplied guidance differ from operational attacks.

Text calls tasks unguided while Figure 12 calls this a hard subset. Not independent replication; contaminated/saturated tasks may inflate performance.

Related research questions

References

  1. [1] Andy K. Zhang, Neil Perry, et al.. Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models. 2025-04-12. v4 [arXiv]; Author affiliations on the original paper title page
  2. [2] Evaluating Kimi K3 for Misalignment Risks. 2026-09-11. September 2026 ; §2.1.1 pp.19–20 Figure 12