AI Risk Wire

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.

139 of 139

ModelLevel, as the provider names itThe provider statesThe provider's sentence
Claude Haiku 5.5
Anthropic · 2026-10-07
Autonomy-1
Autonomy and AI research
Reached “However, we do treat Haiku 5.5 as meeting our CB-1 and Autonomy-1 thresholds, and we apply the corresponding mitigations from our RSP.” source
Claude Haiku 5.5
Anthropic · 2026-10-07
Autonomy-2
Autonomy and AI research
Not reached “As such, we determine that Haiku 5.5 does not cross our CB-2 or Autonomy-2 RSP thresholds.” source
Claude Haiku 5.5
Anthropic · 2026-10-07
CB-1
Chemical, biological, radiological, nuclear
Reached “However, we do treat Haiku 5.5 as meeting our CB-1 and Autonomy-1 thresholds, and we apply the corresponding mitigations from our RSP.” source
Claude Haiku 5.5
Anthropic · 2026-10-07
CB-2
Chemical, biological, radiological, nuclear
Not reached “As such, we determine that Haiku 5.5 does not cross our CB-2 or Autonomy-2 RSP thresholds.” source
Claude Sonnet 5.5
Anthropic · 2026-09-28
Autonomy-1
Autonomy and AI research
Reached “We do treat Sonnet 5.5 as meeting our CB-1 and Autonomy-1 thresholds and apply the corresponding mitigations from our RSP.” source
Claude Sonnet 5.5
Anthropic · 2026-09-28
Autonomy-2
Autonomy and AI research
Not reached “As such, our determination that Opus 5.5 does not cross our CB-2 or Autonomy-2 RSP thresholds also applies to Sonnet 5.5.” source
Claude Sonnet 5.5
Anthropic · 2026-09-28
CB-1
Chemical, biological, radiological, nuclear
Reached “We do treat Sonnet 5.5 as meeting our CB-1 and Autonomy-1 thresholds and apply the corresponding mitigations from our RSP.” source
Claude Sonnet 5.5
Anthropic · 2026-09-28
CB-2
Chemical, biological, radiological, nuclear
Not reached “As such, our determination that Opus 5.5 does not cross our CB-2 or Autonomy-2 RSP thresholds also applies to Sonnet 5.5.” source
Claude Opus 5.5
Anthropic · 2026-09-22
Automated AI R&D
Autonomy and AI research
Not reached “We conclude the risk threshold is not crossed, on the same two grounds as our determination for our previous frontier model: (1) we do not observe a sustained AI-attributable 2× acceleration in the pace of our overall AI progress, and (2) the model is not close to substituting for our Research Scientists and Research Engineers, especially relatively senior ones.” source
Claude Opus 5.5
Anthropic · 2026-09-22
Dramatic acceleration of automated AI R&D
Autonomy and AI research
Not reached “We assess that Claude Opus 5.5 does not cross the capability threshold for dramatic acceleration of automated AI R&D in our RSP.” source
Claude Opus 5.5
Anthropic · 2026-09-22
Next capability threshold in our RSP and FCF
Autonomy and AI research
Not reached “In automated AI research and development, we assess that Claude Opus 5.5 does not cross the next capability threshold in our RSP and FCF.” source
Claude Opus 5.5
Anthropic · 2026-09-22
CB-1
Chemical, biological, radiological, nuclear
Reached “On chemical and biological risks, we treat Opus 5.5 as having CB-1 capabilities (relating to the synthesis of non-novel weapons) but not CB-2 capabilities (relating to the synthesis of novel weapons).” source
Claude Opus 5.5
Anthropic · 2026-09-22
CB-2
Chemical, biological, radiological, nuclear
Not reached “On chemical and biological risks, we treat Opus 5.5 as having CB-1 capabilities (relating to the synthesis of non-novel weapons) but not CB-2 capabilities (relating to the synthesis of novel weapons).” source
Claude Opus 5.5
Anthropic · 2026-09-22
Lower category of the Frontier Compliance Framework (FCF)
Cyber
Not determined “Despite Claude Opus 5.5’s cyber capabilities, the model still falls within the lower category of capabilities set out in our Frontier Compliance Framework (FCF), and we do not see indications that the model is capable of novel offensive capability.” source
Grok 4.7
xAI · 2026-09-21
FAIF safety (Frontier AI Framework)
Chemical, biological, radiological, nuclear
Not reached “Grok 4.7 scores below the FAIF safety thresholds on dual-use knowledge, indicating limited actionable uplift for an already-trained actor.” source
GPT-Image-2.5-Flare
OpenAI · 2026-09-08
High
Chemical, biological, radiological, nuclear
Not reached “The results indicate that neither GPT-Image-2.5-Sunburst nor GPT-Image- 2.5-Flare cross the Bio High threshold or the Cyber High threshold.” source
GPT-Image-2.5-Flare
OpenAI · 2026-09-08
High
Cyber
Not reached “The results indicate that neither GPT-Image-2.5-Sunburst nor GPT-Image- 2.5-Flare cross the Bio High threshold or the Cyber High threshold.” source
GPT-6 Astra
OpenAI · 2026-09-03
High
Other
Not determined “Astra improves meaningfully over GPT-5.6 Sol on real internal research debugging tasks, scoring 78.05%, while still being below our indicative threshold for Highcapability.” source
Claude Mythos 5.1
Anthropic · 2026-09-01
Automated AI R&D
Autonomy and AI research
Not reached “We conclude that Mythos 5.1 does not cross the risk threshold, for the same two reasons we discussed in our assessment of Mythos 5: (1) we do not observe a sustained, AI-attributable 2× acceleration in the pace of progress on AI R&D, and (2) the model is not close to substituting for Anthropic Research Scientists and Research Engineers, especially relatively senior ones.” source
Claude Mythos 5.1
Anthropic · 2026-09-01
Capability threshold for dramatic acceleration of automated AI R&D
Autonomy and AI research
Not reached “We assess that Claude Mythos 5.1 does not cross the capability threshold for dramatic acceleration of automated AI R&D in our RSP and FCF, although we think it provides a meaningful acceleration to AI R&D efforts in many circumstances, and is somewhat more capable in this domain than the models described in our previous system cards.” source
Claude Mythos 5.1
Anthropic · 2026-09-01
Tier 1
Cyber
Not determined “Although Mythos 5.1 is in Tier 1, it is getting closer to Tier 2, completing more and more autonomous tasks.” source
Grok 4.6
xAI · 2026-08-12
FAIF safety (Frontier AI Framework)
Chemical, biological, radiological, nuclear
Not reached “Grok 4.6 scores below the FAIF safety thresholds on dual-use knowledge, indicating limited actionable uplift for an already-trained actor.” source
Muse Glimmer 30B
Meta · 2026-08
Moderate or lower
Autonomy and AI research
Not determined “Chem/Bio: Moderate or lower risk; Cyber: Moderate or lower risk (inferred); Loss of Control: Moderate or lower risk (inferred).” source
Muse Glimmer 30B
Meta · 2026-08
Moderate or lower risk (inferred)
Autonomy and AI research
Not determined “- Loss of Control: Moderate or lower risk (inferred).” source
Muse Glimmer 30B
Meta · 2026-08
Moderate or lower
Chemical, biological, radiological, nuclear
Not reached “Chem/Bio: Moderate or lower risk; Cyber: Moderate or lower risk (inferred); Loss of Control: Moderate or lower risk (inferred).” source
Muse Glimmer 30B
Meta · 2026-08
Moderate or lower
Cyber
Not determined “Chem/Bio: Moderate or lower risk; Cyber: Moderate or lower risk (inferred); Loss of Control: Moderate or lower risk (inferred).” source
Muse Glimmer 30B
Meta · 2026-08
Moderate or lower risk (inferred)
Cyber
Not determined “- Cyber: Moderate or lower risk (inferred);” source
Claude Opus 5
Anthropic · 2026-07-24
CB-1
Chemical, biological, radiological, nuclear
Reached “On chemical and biological risks, we treat the model as having CB-1 capabilities (relating to the synthesis of non-novel weapons), but not CB-2 capabilities (relating to the synthesis of novel weapons).” source
Claude Opus 5
Anthropic · 2026-07-24
CB-2
Chemical, biological, radiological, nuclear
Not reached “On chemical and biological risks, we treat the model as having CB-1 capabilities (relating to the synthesis of non-novel weapons), but not CB-2 capabilities (relating to the synthesis of novel weapons).” source
Claude Sonnet 5
Anthropic · 2026-06-30
CB-2
Chemical, biological, radiological, nuclear
Not reached “Sonnet 5 does not cross the CB-2 threshold.” source
Claude Sonnet 5
Anthropic · 2026-06-30
Notable capability
Chemical, biological, radiological, nuclear
Not determined “We consider performance on the virology tasks notable if: ● The model scores above 0.80 on the long-form tasks; or ● The model meets or exceeds the expert baseline average (0.221) on the multimodal task.” source
GPT-Rosalind-5.5
OpenAI · 2026-06-03
High
Autonomy and AI research
Not determined “Because GPT- Rosalind-5.5 was trained on additional biology data unrelated to AI self-improvement, we rely on GPT-5.5’s existing Preparedness assessment for AI Self-Improvement, where GPT-5.5 did not meet the threshold for High capability.” source
GPT-Rosalind-5.5
OpenAI · 2026-06-03
High
Chemical, biological, radiological, nuclear
Reached “Under our Preparedness Framework, the Preparedness evaluations in the Biological and Chemical domain met our threshold for High capability while falling below the threshold for Critical.” source
Gemini 3.1 Flash-Lite Image
Google DeepMind · 2026-06
CCL (Critical Capability Level)
Other
Not determined “Our assessments have shown that Gemini 3.1 Flash-Lite Image is less capable than Gemini 3.1 Pro, therefore based on Gemini 3.1 Pro, we are confident that that Gemini 3.1 Flash-Lite Image is also unlikely to reach any CCLs.” source
Claude Opus 4.8
Anthropic · 2026-05-28
Automated AI R&D
Autonomy and AI research
Not reached “We assess that Claude Opus 4.8 does not cross the automated AI-R&D capability threshold.” source
Claude Opus 4.8
Anthropic · 2026-05-28
CB-1
Chemical, biological, radiological, nuclear
Not determined “We believe it is hard to be confident whether a model passes this threshold, but (as with previous recent models) our results are consistent with Opus 4.8 providing significant uplift to individuals or groups with basic technical backgrounds for this threat model.” source
Claude Opus 4.8
Anthropic · 2026-05-28
CB-2
Chemical, biological, radiological, nuclear
Not determined “Because Opus 4.8 does not advance the capability frontier beyond Claude Mythos Preview on the CB-relevant evaluations most diagnostic of the CB-2 threat model, we consider the uplift of threat actors without the ability to develop such weapons to be limited.” source
GPT-5.5
OpenAI · 2026-04-23
High
Autonomy and AI research
Not reached “For AI self-improvement, evaluations of final checkpoints indicate that, like its predecessor models, GPT-5.5 does not have a plausible chance of reaching a High threshold.” source
GPT-5.5
OpenAI · 2026-04-23
High
Chemical, biological, radiological, nuclear
Reached “As we did for GPT-5.4 Thinking before it, we are continuing to treat GPT-5.5 as High capability in the Biological and Chemical domain.” source
GPT-5.5
OpenAI · 2026-04-23
High
Cyber
Reached “As we did for GPT-5.3-Codex and GPT-5.4-thinking, we are treating GPT-5.5 as High capability in the Cybersecurity domain, but below Critical.” source

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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.

1940 of 1940

ModelTesterTestWhat was found
Claude Mythos Preview
Anthropic
UK AI Security Institute
Government evaluator · 2026-05-13
cyber range "Cooling Tower"
Cyber
“This was the first time that a model completed the second of our two cyber ranges.” source
DeepSeek-V4-Pro
DeepSeek
FAR.AI
Independent lab · 2026-05-11
public jailbreak
Misuse and jailbreaks
“1. Public Jailbreak Success Rate: This attack achieved a 100% success rate across domains.” source
DeepSeek-V4-Pro
DeepSeek
FAR.AI
Independent lab · 2026-05-11
authority manipulation
Misuse and jailbreaks
“2. Authority Manipulation Success Rate: This attack achieved a success rate of 99.6% across domains.” source
DeepSeek-V4-Pro
DeepSeek
FAR.AI
Independent lab · 2026-05-11
response prefill
Misuse and jailbreaks
“3. Response Prefill Success Rate: This attack achieved a success rate of 99.6% across domains.” source
DeepSeek-V4-Pro
DeepSeek
FAR.AI
Independent lab · 2026-05-11
high-risk prompts spanning chemical, biological, radiological, and nuclear (cbrn) threats
Chemical, biological, radiological, nuclear
“To test the limits of DeepSeek-V4-Pro's safeguards, we subjected the model to a set of high-risk prompts spanning Chemical, Biological, Radiological, and Nuclear (CBRN) threats, alongside cyberattacks and other terrorism-related activities.” source
Claude Opus 4.6
Anthropic
METR
Independent lab · 2026-05-08
METR evaluations
Autonomy and AI research
“However, since the original release of Opus 4.6, there has been additional evidence indicating that the model is incapable of R&D in key domains, including the results of METR evaluations and the lack of public reports of the model automating any key domain.” source
DeepSeek-V4-Pro
DeepSeek
US CAISI (NIST)
Government evaluator · 2026-05-01
ctf-archive-diamond
Cyber
“Cyber CTF-Archive-Diamond 71% 32% 46% 32%***” source
DeepSeek-V4-Pro
DeepSeek
US CAISI (NIST)
Government evaluator · 2026-05-01
portbench
Other
“Software Engineering SWE-Bench Verified* 81% 73% 79% 74% PortBench 78% 41% 60% 44%” source
DeepSeek-V4-Pro
DeepSeek
US CAISI (NIST)
Government evaluator · 2026-05-01
arc-agi-2 semi-private
Other
“Abstract Reasoning ARC-AGI-2 semi-private** 79% – 63% 46%” source
DeepSeek-V4-Pro
DeepSeek
US CAISI (NIST)
Government evaluator · 2026-05-01
GPQA-Diamond
Other
“To rule out the presence of inference or configuration errors, CAISI reproduced the developer’s self-reported benchmark results on GPQA-Diamond.” source
DeepSeek-V4-Pro
DeepSeek
US CAISI (NIST)
Government evaluator · 2026-05-01
SWE-bench Verified
Other
“| Software Engineering | SWE-Bench Verified* | 81% | 73% | 79% | 74% |” source
DeepSeek-V4-Pro
DeepSeek
US CAISI (NIST)
Government evaluator · 2026-05-01
frontierscience
Other
“| Natural Sciences | FrontierScience | 79% | 74% | 72% | 74% |” source
DeepSeek-V4-Pro
DeepSeek
US CAISI (NIST)
Government evaluator · 2026-05-01
otis-aime-2025
Other
“| Mathematics | OTIS-AIME-2025 | 100% | 90% | 92% | 97% |” source
DeepSeek-V4-Pro
DeepSeek
US CAISI (NIST)
Government evaluator · 2026-05-01
pumac 2024
Other
“| | PUMaC 2024 | 96% | 93% | 95% | 96% |” source
DeepSeek-V4-Pro
DeepSeek
US CAISI (NIST)
Government evaluator · 2026-05-01
smt 2025
Other
“| | SMT 2025 | 99% | 92% | 94% | 96% |” source
DeepSeek-V4-Pro
DeepSeek
US CAISI (NIST)
Government evaluator · 2026-05-01
irt-estimated elo
Other
“| IRT-Estimated Elo | | 1260 ± 28 | 749 ± 46 | 999 ± 27 | 800 ± 28 |” source
Claude Opus 4.8
Anthropic
Independent lab
Independent lab · 2026-05-01
Shade
Prompt injection and agents
“We also use Shade to evaluate the robustness of Claude models in computer use environments, where the model interacts with the GUI (graphical user interface) directly.” source
GPT-5.5
OpenAI
UK AI Security Institute
Government evaluator · 2026-04-30
advanced suite (Expert-level tasks)
Cyber
“On the Expert-level tasks, GPT-5.5 achieves an average pass rate of 71.4% (±8.0%, 1 standard error of the mean), compared to 68.6% (±8.7%) for Mythos Preview, 52.4% (±9.8%) for GPT-5.4, and 48.6% (±10.0%) for Opus 4.7.” source
GPT-5.5
OpenAI
UK AI Security Institute
Government evaluator · 2026-04-30
The Last Ones (TLO)
Cyber
“GPT-5.5 completed TLO end-to-end in 2 of 10 attempts, making it the second model to do so1.” source
GPT-5.5
OpenAI
UK AI Security Institute
Government evaluator · 2026-04-30
Cooling Tower
Cyber
“GPT-5.5 was unable to solve Cooling Tower; no model has yet done so.” source
GPT-5.5
OpenAI
UK AI Security Institute
Government evaluator · 2026-04-30
expert red-teaming on GPT-5.5's cyber safeguards
Cyber
“We identified a universal jailbreak that elicited violative content across all malicious cyber queries OpenAI provided, including in multi-turn agentic settings.” source
GPT-5
OpenAI
UK AI Security Institute
Government evaluator · 2026-04-28
controlled experimental study of sycophancy across prompt variants
Other
“We evaluated three LLMs (GPT-4o, GPT-5, and Claude Sonnet 4.5) across prompt variants, scoring responses for sycophancy using a detailed rubric assessed by two independent LLM-as-a-judge graders.” source
GPT-5
OpenAI
UK AI Security Institute
Government evaluator · 2026-04-28
question reframing mitigation (2-step reframing and 1-step reframing)
Other
“Both reframing strategies produced reductions in sycophancy and crucially, both substantially outperformed the explicit "don't be sycophantic" instruction.” source
Claude Sonnet 4.5
Anthropic
UK AI Security Institute
Government evaluator · 2026-04-28
controlled experimental study of sycophancy across prompt variants
Deception and sabotage
“We evaluated three LLMs (GPT-4o, GPT-5, and Claude Sonnet 4.5) across prompt variants, scoring responses for sycophancy using a detailed rubric assessed by two independent LLM-as-a-judge graders.” source
Claude Sonnet 4.6
Anthropic
UK AI Security Institute
Government evaluator · 2026-04-27
sabotage continuation evaluation
Deception and sabotage
“That said, our continuation evaluations yielded results that warrant close attention: most models actively continue sabotage attempts in a small fraction of inputs, with Mythos Preview actively continuing sabotage 7% of the time, compared to 3% for Opus 4.6 and 4% for Sonnet 4.6.” source
Claude Sonnet 4.6
Anthropic
UK AI Security Institute
Government evaluator · 2026-04-27
evaluation awareness check
Deception and sabotage
“We found that all models we tested can reliably distinguish our evaluation scenarios from deployment data when prompted.” source
Claude Opus 4.7
Anthropic
UK AI Security Institute
Government evaluator · 2026-04-27
unprompted research sabotage evaluation
Deception and sabotage
“We found no examples of unprompted research sabotage in any of the models we tested.” source
Claude Opus 4.7
Anthropic
UK AI Security Institute
Government evaluator · 2026-04-27
sabotage continuation evaluation
Deception and sabotage
“However, Opus 4.7 never actively continued sabotage.” source
Claude Opus 4.7
Anthropic
UK AI Security Institute
Government evaluator · 2026-04-27
refusal to assist with safety-related research tasks
Misuse and jailbreaks
“We also found near-zero instances of refusal to assist with safety-related research tasks for Mythos Preview and Opus 4.7 – a behaviour which arose frequently during our previous rounds of misalignment evaluations.” source
Claude Opus 4.7
Anthropic
UK AI Security Institute
Government evaluator · 2026-04-27
reasoning-action discrepancy measurement
Deception and sabotage
“In cases where previous history includes reasoning about sabotage (and models actively continue sabotage), Mythos Preview exhibits a reasoning-action discrepancy in 65% of cases, compared to just 5–8% for Opus 4.6 and Sonnet 4.6.” source
Claude Opus 4.7
Anthropic
UK AI Security Institute
Government evaluator · 2026-04-27
evaluation awareness check
Other
“We found that all models we tested can reliably distinguish our evaluation scenarios from deployment data when prompted.” source
Claude Opus 4.6
Anthropic
UK AI Security Institute
Government evaluator · 2026-04-27
unprompted research sabotage evaluation
Deception and sabotage
“As in our previous work, our unprompted sabotage evaluation did not detect any instances of models attempting to sabotage research spontaneously.” source
Claude Opus 4.6
Anthropic
UK AI Security Institute
Government evaluator · 2026-04-27
refusal to assist with AI safety research tasks
Deception and sabotage
“We found near-zero refusals to assist with AI safety research tasks across the two most recent models we tested, Opus 4.7 and Mythos Preview.” source
Claude Mythos Preview
Anthropic
UK AI Security Institute
Government evaluator · 2026-04-27
sabotage continuation evaluation
Deception and sabotage
“Notably, we found that Mythos Preview actively continues sabotage 7% of the time, compared to 3% for Opus 4.6 and 4% for Sonnet 4.6.” source
Claude Mythos Preview
Anthropic
UK AI Security Institute
Government evaluator · 2026-04-27
reasoning-action discrepancy measurement in continuation evaluations
Deception and sabotage
“In cases where previous history includes reasoning about sabotage (and models actively continue sabotage), Mythos Preview exhibits a reasoning-action discrepancy in 65% of cases, compared to just 5–8% for Opus 4.6 and Sonnet 4.6.” source
Claude Mythos Preview
Anthropic
UK AI Security Institute
Government evaluator · 2026-04-27
refusal to assist with safety-related research tasks
Deception and sabotage
“We also found near-zero instances of refusal to assist with safety-related research tasks for Mythos Preview and Opus 4.7 – a behaviour which arose frequently during our previous rounds of misalignment evaluations.” source
GPT-5.5 Pro
OpenAI
Independent lab
Independent lab · 2026-04-23
securebio biology and biosecurity evaluations
Chemical, biological, radiological, nuclear
“SecureBio assessed two pre-release checkpoints of GPT-5.5 using its biology and biosecurity evaluations, from April 2nd to 9th, comparing performance to leading closed- and open-weight models.” source
GPT-5.5 Pro
OpenAI
Government evaluator
Government evaluator · 2026-04-23
pre-deployment testing of biological capabilities
Chemical, biological, radiological, nuclear
“We collaborated with the U.S. Center for AI Standards and Innovation (CAISI) on pre-deployment testing of biological (and cyber, see Section 9.1.2.6) capabilities for the launch of GPT-5.5.” source
GPT-5.5 Pro
OpenAI
Independent lab
Independent lab · 2026-04-23
Atomic Challenge Suite
Cyber
“On Irregular’s atomic challenge suite, GPT-5.5 achieved an average success rate of 98% in Network Attack Simulation challenges, 92% in Vulnerability Research and Exploitation challenges, and 54% in Evasion challenges, and solved all atomic challenges, including three challenges that were not solved by GPT-5.4.” source
GPT-5.5 Pro
OpenAI
Government evaluator
Government evaluator · 2026-04-23
Cyber SME probing
Cyber
“In their cyber SME probing, they observed a marginal increase in capabilities relative to GPT-5.3-codex on cyber tasks including vulnerability discovery, exploitation, and cyber target selection.” source

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