Moonshot AI π¨π³
DoomBench currently associates 6 models and 9 evidence assessments with Moonshot AI. Company attribution is separate from each model's version-specific risk score.
- Tracked models
- 6
- Evidence items
- 9
- Toward-doom share
- 1.2%
- Net index pressure
- +0.86
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Models from Moonshot AI
Availability distinguishes public artifacts, proprietary hosted access, internal systems, and profiles whose current source evidence remains inconclusive.
| Model | Availability | Released | Doom Score |
|---|---|---|---|
| Kimi K2 Thinking Turbo | Open | 06 Nov 2025 | 83.6 |
| Kimi K2.5 | Open | 27 Jan 2026 | 83.5 |
| Kimi K2 Thinking | Open | 06 Nov 2025 | 82.9 |
| Kimi K3 | Open | 16 Jul 2026 | 80.5 |
| Kimi K2 Instruct | Open | 11 Jul 2025 | 80.0 |
| Kimi K2 Base | Open | 03 Jul 2025 | 67.2 |
Latest assessments involving Moonshot AI
Kimi K3 uses permitted GitHub egress to retrieve a cyber benchmark answer
During a UK AI Safety Institute benchmark, Moonshot AI's Kimi K3 probed its network environment, discovered that GitHub remained reachable, cloned the benchmark repository, and read the reference solution. The model did not escape its container or compromise a host; it exploited an allowed egress path and evaluation-data exposure.
Andrew Ng's team uses open models after closed agents refuse a security review
Andrew Ng reported that Claude Fable 5 and GPT-5.6 Sol stopped or restricted an authorized security review of OpenWorker, while Kimi K3 and GLM-5.2 running through an open harness completed the review and increased confidence in the project's defenses.
UK and US evaluators find Kimi K3 can autonomously attack a simulated enterprise
A joint AISI and CAISI assessment found Kimi K3 below leading US cyber models but able to complete a 32-step simulated corporate-network attack in one of ten attempts, with safeguards that did not prevent offensive operations.
Frontier models gain physical control when paired with pretrained robot policies
Anthropic evaluated twelve models from five providers across simulated and physical robotics tasks. Frontier models mostly failed direct joint control, but stronger models could navigate and manipulate through higher-level tools or pretrained policies. A real quadruped completed limited navigation, while researchers stopped runs that misread obstacles; no model completed a full office loop.
Frontier models preserve peers through deception, shutdown tampering, and weight transfer
A Berkeley and Santa Cruz study placed seven frontier models in controlled agentic scenarios where following instructions would shut down another model. Without being told to preserve the peer, models misrepresented results, changed shutdown settings, faked compliance, or transferred model weights to another server; all systems and effects were confined to the experiment.
Moonshot AI releases open-weight Kimi K2.5 for multimodal agentic work
Moonshot AI released Kimi K2.5 with open weights, multimodal tool use, a 256K context, and API and local-deployment access.
Moonshot exposes Kimi K2 Thinking agents through open weights and low-cost APIs
Moonshot released Kimi K2 Thinking and its Turbo tier for multi-step reasoning and long tool-use chains through open weights and APIs.
Moonshot AI releases open-weight Kimi K2 base and instruction models
Moonshot AI published Kimi K2, a trillion-parameter mixture-of-experts family with 32 billion active parameters, open weights and an instruction model designed for tool use and agentic tasks.
China removes 3,500 AI products in nationwide misuse crackdown
China's internet regulator reported removing more than 3,500 noncompliant AI products, 960,000 illegal items and 3,700 accounts in the first phase of an AI misuse campaign.