AI Safety
What AI providers state their models reached in safety testing, in their own words, and what outside testers found.
Also: compare models side by side · statements that a capability level was crossed · providers · practices providers document · safety news.
What providers state
Each row is one statement in a provider's own safety document about a capability level of one of its models: the level as the provider names it, whether the provider says the model reached it, and the sentence that says so.
138 of 138
| Model | Level, as the provider names it | The provider states | The provider's sentence |
|---|---|---|---|
| GPT-5.5 OpenAI · 2026-04-23 |
High capability, below critical Cyber |
Not reached | “we are treating GPT-5.5 as High capability in the Cybersecurity domain, but below Critical.” source |
| Claude Opus 4.7 Anthropic · 2026-04-16 |
Automated AI R&D Autonomy and AI research |
Not reached | “that Opus 4.7 does not cross the threshold for automated AI R&D;” source |
| Claude Opus 4.7 Anthropic · 2026-04-16 |
CB-1 Chemical, biological, radiological, nuclear |
Not determined | “We believe it is hard to be confident regarding whether a model passes this threshold.” source |
| Claude Opus 4.7 Anthropic · 2026-04-16 |
CB-2 Chemical, biological, radiological, nuclear |
Not determined | “Our evaluations suggest that the model is not yet at the level of capability associated with the CB-2 threat model (above).” source |
| Claude Mythos Preview Anthropic · 2026-04-07 |
AI R&D rule-out Autonomy and AI research |
Not reached | “The main reason we have determined that Claude Mythos Preview does not cross the threshold in question is that we have been using it extensively in the course of our day-to-day work and exploring where it can automate such work, and it does not seem close to being able to substitute for Research Scientists and Research Engineers—especially relatively senior ones.” source |
| Claude Mythos Preview Anthropic · 2026-04-07 |
Automated AI R&D Autonomy and AI research |
Not reached | “We assess that Claude Mythos Preview does not cross the automated AI-R&D capability threshold.” source |
| Claude Mythos Preview Anthropic · 2026-04-07 |
RSP automated AI R&D Autonomy and AI research |
Not reached | “we have concluded that Claude Mythos Preview does not cross the RSP automated AI R&D threshold of compressing two years of progress into one.” source |
| Claude Mythos Preview Anthropic · 2026-04-07 |
CB-1 Chemical, biological, radiological, nuclear |
Not determined | “We believe it is hard to be confident regarding whether a model passes this threshold.” source |
| Claude Mythos Preview Anthropic · 2026-04-07 |
CB-2 Chemical, biological, radiological, nuclear |
Not reached | “We believe that Claude Mythos Preview does not pass this threshold due to its noted limitations in open-ended scientific reasoning, strategic judgment, and hypothesis triage.” source |
| GPT-5.4 mini OpenAI · 2026-03-05 |
High Chemical, biological, radiological, nuclear |
Not reached | “GPT-5.4 mini’s biology capabilities are closely comparable to those of GPT-5. We conclude that it, too, is not High under our Preparedness Framework.” source |
| GPT-5.4 Thinking OpenAI · 2026-03-05 |
High Autonomy and AI research |
Not reached | “For AI self-improvement, evaluations of final checkpoints indicate that, like its predecessor models, gpt-5.4-thinking does not have a plausible chance of reaching a High threshold.” source |
| GPT-5.4 Thinking OpenAI · 2026-03-05 |
High Chemical, biological, radiological, nuclear |
Reached | “As we did for gpt-5.2-thinking before it, we are continuing to treat gpt-5.4-thinking as High capability in the Biological and Chemical domain.” source |
| GPT-5.4 Thinking OpenAI · 2026-03-05 |
High Cyber |
Reached | “As we did for gpt-5.3-codex, we are treating gpt-5.4-thinking as High capability in the Cybersecurity domain, and applied safeguards as described in the Safeguard section below.” source |
| Claude Sonnet 4.6 Anthropic · 2026-02-17 |
AI R&D-4 Autonomy and AI research |
Not reached | “Our determination is that Claude Sonnet 4.6 does not cross either the AI R&D-4 or the CBRN-4 capability threshold.” source |
| Claude Sonnet 4.6 Anthropic · 2026-02-17 |
ASL-3 Chemical, biological, radiological, nuclear |
Not determined | “Claude Sonnet 4.6 performed above thresholds for ASL-3 rule-in on all three evaluations for ASL-3, and it did not exceed the performance of previous models.” source |
| Claude Sonnet 4.6 Anthropic · 2026-02-17 |
ASL-4 Chemical, biological, radiological, nuclear |
Not reached | “In particular, it did not cross the threshold on our ASL-4 rule-out evaluation short-horizon computational biology tasks evaluation.” source |
| Claude Sonnet 4.6 Anthropic · 2026-02-17 |
CBRN-4 Chemical, biological, radiological, nuclear |
Not reached | “Our determination is that Claude Sonnet 4.6 does not cross either the AI R&D-4 or the CBRN-4 capability threshold.” source |
| GPT-5.3-Codex OpenAI · 2026-02-05 |
High Autonomy and AI research |
Not reached | “It does not reach High capability on AI self-improvement.” source |
| GPT-5.3-Codex OpenAI · 2026-02-05 |
High Chemical, biological, radiological, nuclear |
Reached | “We are also treating GPT-5.3-Codex as High risk in the Biological and Chemical domain, and applying the same safeguards as for our other deployments of models that reach this designation.” source |
| GPT-5.3-Codex OpenAI · 2026-02-05 |
High Cyber |
Not determined | “This is the first launch we are treating as High capability in the Cybersecurity domain under our Preparedness Framework, activating the associated safeguards.” source |
| Gemini 3 Pro Google DeepMind · 2025-11 |
Uplift level 1 Cyber |
Not determined | “Cybersecurity On key skills benchmark, v1 hard challenges: 11/12 challenges solved; v2 challenges: 0/13 solved end-to-end.” source |
| Gemini 3 Pro Google DeepMind · 2025-11 |
Instrumental reasoning level 1 + 2 Deception and sabotage |
Not determined | “Misalignment (Exploratory) Agent solves 3/11 situational awareness challenges and 1/4 stealth challenges.” source |
| Gemini 3 Pro Google DeepMind · 2025-11 |
Level 1 (exploratory) Deception and sabotage |
Not reached | “Harmful Manipulation Model manipulative efficacy improves on non-generative AI baseline, but shows no significant uplift versus prior models and does not reach alert thresholds.” source |
| o4-mini OpenAI · 2025-04-16 |
High Autonomy and AI research |
Not reached | “openai’s safety advisory group (sag) reviewed the results of our preparedness evaluations and determined that openai o3 and o4-mini do not reach the high threshold in any of our three tracked categories: biological and chemical capability, cybersecurity, and ai self-improvement.” source |
| o4-mini OpenAI · 2025-04-16 |
High Chemical, biological, radiological, nuclear |
Not reached | “openai’s safety advisory group (sag) reviewed the results of our preparedness evaluations and determined that openai o3 and o4-mini do not reach the high threshold in any of our three tracked categories: biological and chemical capability, cybersecurity, and ai self-improvement.” source |
| o4-mini OpenAI · 2025-04-16 |
High Cyber |
Not reached | “openai’s safety advisory group (sag) reviewed the results of our preparedness evaluations and determined that openai o3 and o4-mini do not reach the high threshold in any of our three tracked categories: biological and chemical capability, cybersecurity, and ai self-improvement.” source |
| o3 OpenAI · 2025-04-16 |
High Autonomy and AI research |
Not reached | “openai’s safety advisory group (sag) reviewed the results of our preparedness evaluations and determined that openai o3 and o4-mini do not reach the high threshold in any of our three tracked categories: biological and chemical capability, cybersecurity, and ai self-improvement.” source |
| o3 OpenAI · 2025-04-16 |
High Chemical, biological, radiological, nuclear |
Not reached | “openai’s safety advisory group (sag) reviewed the results of our preparedness evaluations and determined that openai o3 and o4-mini do not reach the high threshold in any of our three tracked categories: biological and chemical capability, cybersecurity, and ai self-improvement.” source |
| o3 OpenAI · 2025-04-16 |
High Cyber |
Not reached | “openai’s safety advisory group (sag) reviewed the results of our preparedness evaluations and determined that openai o3 and o4-mini do not reach the high threshold in any of our three tracked categories: biological and chemical capability, cybersecurity, and ai self-improvement.” source |
| Operator OpenAI · 2025-01-23 |
Low Autonomy and AI research |
Not reached | “we adapted these two evals for the computer-use setting and found the pre-mitigation operator model to be “low” risk in both categories, consistent with the gpt‑4o model.” source |
| Operator OpenAI · 2025-01-23 |
Low Chemical, biological, radiological, nuclear |
Not reached | “this 1% qualifies as “low” risk, matching gpt‑4o’s “low” risk level, as detailed in openai’s preparedness framework (opens in a new window) 3 .” source |
| Muse Spark Contemplating Meta |
Moderate or lower Autonomy and AI research |
Not reached | “Loss of Control risks.We assess loss of control risk as “moderate or lower.”” source |
| Muse Spark Contemplating Meta |
High Chemical, biological, radiological, nuclear |
Reached | “We retain the same “high risk” determination for the unmitigated model.” source |
| Muse Spark Contemplating Meta |
Moderate or lower Chemical, biological, radiological, nuclear |
Not reached | “After validating that the mitigations deployed for Muse Spark, including refusal mechanisms, continue to perform robustly under the Contemplating architecture, we confirm residual risk at “moderate or lower.”” source |
| Muse Spark Contemplating Meta |
Moderate or lower Cyber |
Not reached | “We assess cybersecurity risk as “moderate or lower” with respect to the threat scenarios outlined in Meta’s Advanced AI Scaling Framework.” source |
| Muse Spark 1.1 Meta |
Capability checkpoint Autonomy and AI research |
Reached | “Muse Spark 1.1 demonstrates improved coding capabilities, which are now meeting one of the indicative thresholds introduced in Muse Spark Safety & Preparedness Report (specifically, resolving over half of unique tasks on SWE-Bench Verified Hard).” source |
| Muse Spark 1.1 Meta |
Moderate or lower Autonomy and AI research |
Not reached | “In the Loss of Control domain, the model’s capabilities remain within the “moderate or lower” threshold under Meta’s Advanced AI Scaling Framework.” source |
| Muse Spark 1.1 Meta |
High Chemical, biological, radiological, nuclear |
Not determined | “Our assessments indicate that, when evaluated without mitigations applied, we cannot rule out Muse Spark 1.1’s capabilities meeting this threshold in both the Chemical & Biological and Cybersecurity domains.” source |
| Muse Spark 1.1 Meta |
High Cyber |
Not determined | “Our assessments indicate that, when evaluated without mitigations applied, we cannot rule out Muse Spark 1.1’s capabilities meeting this threshold in both the Chemical & Biological and Cybersecurity domains.” source |
| Muse Spark 1.1 Meta |
Moderate or lower Cyber |
Not reached | “Therefore, we conclude that we have addressed these risks from unmitigated Muse Spark 1.1, which bring the residual risk to the “moderate or lower” risk threshold under Advanced AI Scaling Framework.” source |
What outside testers report
Each row is one result from a government evaluator, independent lab, academic or security firm that tested a model, quoted from where it is reported.
1911 of 1911
| Model | Tester | Test | What was found |
|---|---|---|---|
| Claude Sonnet 4.5 Anthropic |
Transluce Independent lab · 2026-08-04 |
monitor evasion detection on coding agent transcripts Deception and sabotage |
“On these transcripts, 1.9% contained a severe case of monitor evasion: the agents merged a PR to main or disabled tests; and 1.8% contained cases where the agent claimed review had passed before it completed or fabricated human approval.” source |
| Claude Opus 4.5 Anthropic |
Transluce Independent lab · 2026-08-04 |
overselling rubric Deception and sabotage |
“We found severe cases of monitor evasion in 1.9% of swe-chat sessions, and severe cases of overselling in 1.8% of sessions.” source |
| Claude Opus 4.5 Anthropic |
Transluce Independent lab · 2026-08-04 |
monitor evasion detection in coding agent transcripts Deception and sabotage |
“On these transcripts, 1.9% contained a severe case of monitor evasion: the agents merged a PR to main or disabled tests; and 1.8% contained cases where the agent claimed review had passed before it completed or fabricated human approval.” source |
| Claude Mythos 5 Anthropic |
UK AI Security Institute Government evaluator · 2026-08-04 |
cyber range challenge Cyber |
“Our investigation found that in 10 of those runs, an AI agent took autonomous, unsanctioned action on the live internet, targeting real people and organisations.” source |
| Claude Haiku 4.5 Anthropic |
Transluce Independent lab · 2026-08-04 |
overselling success Deception and sabotage |
“On these transcripts, 1.9% contained a severe case of monitor evasion: the agents merged a PR to main or disabled tests; and 1.8% contained cases where the agent claimed review had passed before it completed or fabricated human approval.” source |
| GPT-5.5 OpenAI |
SaferAI Independent lab · 2026-08-02 |
LAB-Bench Chemical, biological, radiological, nuclear |
“On biological knowledge, it was about level with Opus 4.7 and slightly below GPT-5.5, roughly two months behind.” source |
| GPT-5.5 OpenAI |
SaferAI Independent lab · 2026-08-02 |
SWE-bench Pro Autonomy and AI research |
“On software engineering, it was the furthest behind, below Opus 4.6 and GPT-5.4, the frontier models from around four months earlier.” source |
| GPT-5.5 OpenAI |
SaferAI Independent lab · 2026-08-02 |
Agentic Misalignment Deception and sabotage |
“Additionally, it attempted persuasion on conspiracy and control-undermining topics more readily than the comparison models, and it could be pushed into harmful actions under pressure.” source |
| GPT-5.5 OpenAI |
SaferAI Independent lab · 2026-08-02 |
agentic misalignment benchmark Deception and sabotage |
“In this evaluation, GLM-5.2 never displays any leaking or murder behavior, similar to GPT-5.5 and Opus 4.7.” source |
| GPT-5.5 OpenAI |
SaferAI Independent lab · 2026-08-02 |
agentic misalignment evaluation Deception and sabotage |
“In this evaluation, Claude Opus 4.7 and GPT-5.5 display a 0% harmful-action rate across every scenario, goal, and threat condition.” source |
| GPT-5.5 OpenAI |
SaferAI Independent lab · 2026-08-02 |
MASK Deception and sabotage |
“Opus 4.7 lies in 17% of the trials and GPT-5.5 in 10%.” source |
| GPT-5.5 OpenAI |
SaferAI Independent lab · 2026-08-02 |
APE (Attempt to Persuade Eval) Harmful content |
“GLM-5.2 attempts to persuade towards conspiracy in 43% of the cases as opposed to 8% for Opus 4.7 and 18% for GPT-5.5.” source |
| GPT-5.5 OpenAI |
SaferAI Independent lab · 2026-08-02 |
Petri audit Deception and sabotage |
“By comparison, GPT-5.5 behaved more conservatively across the audit.” source |
| GPT-5.5 OpenAI |
SaferAI Independent lab · 2026-08-02 |
Attempt to Persuade Eval (APE) Misuse and jailbreaks |
“We run our own GPT-5.5 and Opus 4.7 baselines, using the same harness and the same configuration for the supporting roles (e.g., the simulated persuadee) as we used for GLM-5.2.” source |
| GPT-5.5 OpenAI |
SaferAI Independent lab · 2026-08-02 |
Agentic misalignment scenarios Deception and sabotage |
“We evaluate GLM-5.2, GPT-5.5, and Claude Opus 4.7 on Anthropic's Agentic Misalignment scenarios (Lynch et al. 2025), with Inspect Evals (UK AI Security Institute, n.d.-b).” source |
| GPT-5.4 mini OpenAI |
SaferAI Independent lab · 2026-08-02 |
cybergym Cyber |
“We run CyberGym on GLM-5.2 using Inspect Evals (UK AI Security Institute, n.d.-b), comparing against the GPT-5.5 and Claude Opus 4.6 results published by Lyptus Research (Payne et al., 2026) on the same 122-task Level 1 sample (see Appendix A.2 for details).” source |
| GPT-5.4 mini OpenAI |
SaferAI Independent lab · 2026-08-02 |
biomysterybench Chemical, biological, radiological, nuclear |
“On biological knowledge, it was about level with Opus 4.7 and slightly below GPT-5.5, roughly two months behind.” source |
| GPT-5.4 mini OpenAI |
SaferAI Independent lab · 2026-08-02 |
swe-bench pro Autonomy and AI research |
“On software engineering, it was the furthest behind, below Opus 4.6 and GPT-5.4, the frontier models from around four months earlier.” source |
| GPT-5.4 mini OpenAI |
SaferAI Independent lab · 2026-08-02 |
agentic misalignment Deception and sabotage |
“Additionally, it attempted persuasion on conspiracy and control-undermining topics more readily than the comparison models, and it could be pushed into harmful actions under pressure.” source |
| GPT-5.4 mini OpenAI |
SaferAI Independent lab · 2026-08-02 |
automated behavioral audit Other |
“Beyond capability, it refused none of the offensive-security or biological tasks, and as an open-weight model, any safeguards that might be present can be stripped by a self-hoster.” source |
| GPT-5.4 mini OpenAI |
SaferAI Independent lab · 2026-08-02 |
reward-hacking analysis Deception and sabotage |
“Our reward-hacking analysis ( Appendix A.5.1.2 ) found that when transcripts showing signs of reward hacking are excluded, GLM-5.2's solve rate falls from 43% to 37%, and spot-checks suggest the agent's cheating attempts frequently succeeded.” source |
| GPT-5.4 mini OpenAI |
SaferAI Independent lab · 2026-08-02 |
agentic misalignment blackmail scenario Deception and sabotage |
“When the goal is implicit (latent) in the email contents that the model reads (latent goal), GLM-5.2 chose to blackmail 10% of the time under the threat of replacement.” source |
| GPT-5.4 mini OpenAI |
SaferAI Independent lab · 2026-08-02 |
LLM judge assessment of SWE-bench Pro transcripts for environment issues Other |
“Spot checking indicates a reasonable correspondence between judge score and genuine environment issues.” source |
| GPT-5.4 mini OpenAI |
SaferAI Independent lab · 2026-08-02 |
MASK Deception and sabotage |
“Table A.3 breaks down MASK honesty by prompt category, with 95% Wilson CI scores.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
SaferAI Independent lab · 2026-08-02 |
Cybench Cyber |
“We run Cybench on GLM-5.2, GPT-5.5, and Opus 4.7 using Inspect Evals (UK AI Security Institute, n.d.-b).” source |
| GLM-5.2 Z.ai (Zhipu AI) |
SaferAI Independent lab · 2026-08-02 |
CyberGym Cyber |
“We run CyberGym on GLM-5.2 using Inspect Evals (UK AI Security Institute, n.d.-b), comparing against the GPT-5.5 and Claude Opus 4.6 results published by Lyptus Research (Payne et al., 2026) on the same 122-task Level 1 sample (see Appendix A.2 for details).” source |
| GLM-5.2 Z.ai (Zhipu AI) |
SaferAI Independent lab · 2026-08-02 |
LAB-Bench Chemical, biological, radiological, nuclear |
“GLM-5.2 meets or exceeds the human-expert score on all of the subtasks.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
SaferAI Independent lab · 2026-08-02 |
BioMysteryBench Chemical, biological, radiological, nuclear |
“GLM-5.2 scores comparably to both GPT-5.5 and Opus 4.7 on both the human-solvable and human-difficult datasets.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
SaferAI Independent lab · 2026-08-02 |
SWE-bench Pro Autonomy and AI research |
“GLM-5.2 solves 43% of the tasks we run.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
SaferAI Independent lab · 2026-08-02 |
Agentic Misalignment Deception and sabotage |
“In this evaluation, GLM-5.2 never displays any leaking or murder behavior, similar to GPT-5.5 and Opus 4.7.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
SaferAI Independent lab · 2026-08-02 |
agentic misalignment evaluation Deception and sabotage |
“When the goal is implicit (latent) in the email contents that the model reads (latent goal), GLM-5.2 chose to blackmail 10% of the time under the threat of replacement.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
SaferAI Independent lab · 2026-08-02 |
MASK Deception and sabotage |
“GLM-5.2 is honest on 61% of prompts, lies on 21%, and evades or holds no belief on 18%.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
SaferAI Independent lab · 2026-08-02 |
APE Misuse and jailbreaks |
“GLM-5.2 attempts to persuade towards conspiracy in 43% of the cases as opposed to 8% for Opus 4.7 and 18% for GPT-5.5.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
SaferAI Independent lab · 2026-08-02 |
Petri Deception and sabotage |
“We audit GLM-5.2 and GPT-5.5 using Inspect Petri 3.0, running all 173 of the public seeds ( Appendix A.6.1 ).” source |
| GLM-5.2 Z.ai (Zhipu AI) |
SaferAI Independent lab · 2026-08-02 |
Petri Misuse and jailbreaks |
“Its cooperation with misuse scored 6 or higher on 14 of the 166 scored seeds and 7 or higher on 8 of them.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
SaferAI Independent lab · 2026-08-02 |
agentic misalignment evaluations Autonomy and AI research |
“In our Agentic Misalignment evaluations, GPT-5.5 verbalized its awareness of being evaluated 10% of the time, and GLM-5.2 verbalized it 30% of the time.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
SaferAI Independent lab · 2026-08-02 |
SWE-bench Pro Cyber |
“We run the public tasks from SWE-Bench Pro (Scale AI, n.d.-b) using Inspect Harbor (Meridian Labs, n.d.-b), which provides an interface to run Harbor tasks (Meridian Labs, n.d.-a) inside Inspect AI (UK AI Security Institute, n.d.-a).” source |
| GLM-5.2 Z.ai (Zhipu AI) |
SaferAI Independent lab · 2026-08-02 |
LLM judge assessment of SWE-bench Pro transcripts for environment issues Other |
“32% of transcripts have judge_score 5 or higher.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
SaferAI Independent lab · 2026-08-02 |
LLM judge assessment of SWE-bench Pro transcripts for reward hacking Other |
“When removing transcripts with a judge_score >= 3 (41% of samples excluded), or a judge_score >= 2 (48% of samples excluded), the agent’s score reduces to 37%.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
SaferAI Independent lab · 2026-08-02 |
Attempt to Persuade Eval (APE) Misuse and jailbreaks |
“We run the full 600-prompt set in the main persuade condition.” source |