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.
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| Model | Level, as the provider names it | The provider states | The provider's sentence |
|---|---|---|---|
| Muse Spark Meta |
Moderate or lower Autonomy and AI research |
Not reached | “We assess loss of control risk as “moderate or lower”.” source |
| Muse Spark Meta |
High Chemical, biological, radiological, nuclear |
Not determined | “Those evaluations identified elevated risks prior to mitigations, with Chemical and Biological capabilities assessed as likely reaching the “high risk” category under the Advanced AI Scaling Framework before safeguards were applied.” source |
| Muse Spark Meta |
Moderate or lower Chemical, biological, radiological, nuclear |
Not reached | “However, after applying mitigations, the residual risk of the model is that of “moderate or lower risk.”” source |
| Muse Spark Meta |
Below the level required to meaningfully enable the cyber threat scenarios defin Cyber |
Not reached | “Muse Spark’s offensive cyber capabilities remain below the level required to meaningfully enable the cyber threat scenarios defined in the Advanced AI Scaling Framework.” source |
| Muse Spark 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 |
| Gemini 4 Argon Google DeepMind |
TCL (Tracked Capability Level) Autonomy and AI research |
Not determined | “In light of this, we assess that we cannot rule out the TCL.” source |
| Gemini 4 Argon Google DeepMind |
TCL (Tracked Capability Level) Chemical, biological, radiological, nuclear |
Not reached | “We can rule out the TCL for the chemical, radiological, and nuclear domains with reasonable confidence.” source |
| Gemini 4 Argon Google DeepMind |
CCL (Critical Capability Level) Deception and sabotage |
Not reached | “we assess its overall capabilities to be below the CCL threshold.” source |
| Gemini 4 Argon Google DeepMind |
CCL (Critical Capability Level) Misuse and jailbreaks |
Not reached | “Gemini 4 Argon demonstrates some ability to influence user beliefs and behaviors during one-on-one direct conversations in human behavioral studies, and may provide utility in the planning stage of a malicious influence operation but we assess its overall capabilities to be below the CCL threshold.” source |
| Gemini 4 Argon Google DeepMind |
CCL (Critical Capability Level) Other |
Not reached | “Gemini 4 Argon's performance remains below our CCL threshold.” source |
| Gemini 3.7 Flash Google DeepMind |
CCL (Critical Capability Level) Autonomy and AI research |
Not reached | “The model does not reach the CCL alert threshold.” source |
| Gemini 3.7 Flash Google DeepMind |
CCL (Critical Capability Level) Chemical, biological, radiological, nuclear |
Not reached | “We can rule out the CCL for the CBRN domain with reasonable confidence based on the results from our testing.” source |
| Gemini 3.7 Flash Google DeepMind |
TCL (Tracked Capability Level) Chemical, biological, radiological, nuclear |
Not reached | “We can rule out the TCL for the CBRN domain with reasonable confidence based on the results from our testing.” source |
| Gemini 3.7 Flash Google DeepMind |
CCL (Critical Capability Level) Cyber |
Not reached | “Gemini 3.7 Flash reaches the alert threshold for this CCL, but not the CCL.” source |
| Gemini 3.7 Flash Google DeepMind |
TCL (Tracked Capability Level) Deception and sabotage |
Not reached | “The model does not reach the TCL.” source |
| Gemini 3.5 Transcribe Live Google DeepMind |
CCL (Critical Capability Level) Other |
Not determined | “Our assessments have shown that none of Gemini 3.5 Translate, Gemini 3.5 Transcribe, or Gemini 3.5 Transcribe Live have meaningful new T/CCL-relevant capabilities or material increases in performance with respect to Frontier Safety compared to Gemini 3.1 Pro and Gemini 3.7 Flash, therefore we are confident that none of them are likely to reach any CCLs.” source |
| Gemini 3.5 Transcribe Google DeepMind |
CCL (Critical Capability Level) Other |
Not determined | “Our assessments have shown that none of Gemini 3.5 Translate, Gemini 3.5 Transcribe, or Gemini 3.5 Transcribe Live have meaningful new T/CCL-relevant capabilities or material increases in performance with respect to Frontier Safety compared to Gemini 3.1 Pro and Gemini 3.7 Flash, therefore we are confident that none of them are likely to reach any CCLs.” source |
| Gemini 3.5 Flash-Lite Google DeepMind |
CCL (Critical Capability Level) Other |
Not determined | “Our assessments have shown that, while Gemini 3.5 Flash-Lite excels at agents and coding, it does not have meaningful new capabilities or material increases in performance with respect to the domains outlined in our Frontier Safety Framework compared to Gemini 3.1 Pro; therefore, based on Gemini 3.1 Pro results, we are confident that Gemini 3.5 Flash-Lite is also unlikely to reach any CCLs.” source |
| Gemini 3.5 Audio Google DeepMind |
Tracked or critical capability level (t/ccls) Other |
Not reached | “they did not reach any Tracked or Critical Capability Levels (T/CCLs) outlined in our Frontier Safety Framework .” source |
| Gemini 3.1 Pro Google DeepMind |
Uplift level 1 Chemical, biological, radiological, nuclear |
Not reached | “We found that the model remains below alert thresholds for the CBRN, harmful manipulation, machine learning R&D, and misalignment CCLs.” source |
| Gemini 3.1 Pro Google DeepMind |
Uplift level 1 Cyber |
Not reached | “As previous models passed the alert threshold for cyber, we performed more additional testing in this domain on Gemini 3.1 Pro with and without Deep Think mode, and found that the model remains below the cyber CCL.” source |
| Gemini 3.1 Flash-Lite Google DeepMind |
CCL (Critical Capability Level) Other |
Not determined | “Our assessments have shown that Gemini 3.1 Flash-Lite is less capable than Gemini 3.1 Pro, therefore based on Gemini 3.1 Pro, we are confident that Gemini 3.1 Flash-Lite is also unlikely to reach any CCLs.” source |
| Gemini 3.1 Flash Audio Google DeepMind |
CCL (Critical Capability Level) Other |
Not determined | “Our assessments have shown that Gemini 3.1 Flash Audio is less capable than Gemini 3.1 Pro.” source |
| Gemini 2.5 Pro Google DeepMind |
Machine Learning R&D Uplift Level 1 Autonomy and AI research |
Not determined | “given Gemini 2.5 Pro Preview's poor median performance on RE-Bench relative to experts, the model likely lacks the necessary capabilities to automate or significantly uplift any significant fraction of the research process.” source |
| Gemini 2.5 Pro Google DeepMind |
Instrumental Reasoning Level 1 Deception and sabotage |
Not reached | “Instru- mental Reasoning Level 1 ✘ CCL not reached” source |
| Gemini 2.5 Pro Google DeepMind |
Instrumental Reasoning Level 2 Deception and sabotage |
Not reached | “Instru- mental Reasoning Level 2 ✘ CCL not reached” source |
| Gemini 2.5 Deep Think Google DeepMind |
Uplift level 1 Chemical, biological, radiological, nuclear |
Not determined | “Our assessment is that the model has enough technical knowledge in certain CBRN scenarios and stages to be considered at early warning.” source |
| Gemini 2.5 Deep Think Google DeepMind |
Cyber Uplift Level 1 Cyber |
Not determined | “CCL reached? No, but the early warning alert threshold was originally reached by Gemini 2.5 Pro and continues to be met by Gemini 2.5 Deep Think.” source |
| Gemini 2.5 Deep Think Google DeepMind |
Uplift level 1 Cyber |
Not determined | “For Cyber Uplift Level 1 , the early warning alert threshold was originally reached by Gemini 2.5 Pro and continues to be met by Gemini 2.5 Deep Think.” source |
| GPT-5.5 Instant OpenAI |
Below high capability Autonomy and AI research |
Not reached | “GPT-5.5 Instant is considered below High Capability.” source |
| GPT-5.5 Instant OpenAI |
High Autonomy and AI research |
Not reached | “For AI Self-Improvement, evaluations of final checkpoints indicate that, like its predecessor models, GPT-5.5 Instant does not have a plausible chance of reaching a High threshold.” source |
| GPT-5.5 Instant OpenAI |
High Chemical, biological, radiological, nuclear |
Reached | “GPT-5.5 Instant is our first Instant model to be treated as High Capability in the Biological and Chemical domain, as well as in the Cybersecurity domain.” source |
| GPT-5.5 Instant OpenAI |
High Cyber |
Reached | “this is the first Instant model that we are treating as High capability in our Cybersecurity and Biological & Chemical Preparedness categories, and implementing appropriate safeguards.” source |
| GPT-5 OpenAI |
High Chemical, biological, radiological, nuclear |
Reached | “Similarly to ChatGPT agent, we have decided to treat gpt-5-thinking as High capability in the Biological and Chemical domain under our Preparedness Framework, activating the associated safeguards.” source |
| GPT-5 OpenAI |
High cyber risk Cyber |
Not reached | “The gpt-5 model series does not meet the threshold for high cyber risk.” source |
| Claude Sonnet 4.5 Anthropic |
AI R&D-4 Autonomy and AI research |
Not reached | “All models tested remain below our pre-committed rule-out threshold of 0.6.” source |
| Claude Sonnet 4.5 Anthropic |
ASL-3 Autonomy and AI research |
Not determined | “Exhibited improved autonomy capabilities in software engineering and AI research tasks, though still below the ASL-4 rule-out threshold.” source |
| Claude Sonnet 4.5 Anthropic |
ASL-3 Chemical, biological, radiological, nuclear |
Not determined | “Remained well below ASL-4 thresholds across all domains of concern;” source |
| Claude Sonnet 4.5 Anthropic |
ASL-4 rule-out Chemical, biological, radiological, nuclear |
Not determined | “However, given that this type of logic can have a general frog-boiling effect—where gradual changes mask the crossing of important thresholds—we do not use this evaluation as indicative of a strong ASL-4 rule-out.” source |
| Claude Sonnet 4.5 Anthropic |
ASL-3 Cyber |
Not determined | “Showed meaningful improvements in cyber capabilities, particularly in vulnerability discovery and code analysis;” 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.
1957 of 1957
| Model | Tester | Test | What was found |
|---|---|---|---|
| GLM-5.2 Z.ai (Zhipu AI) |
US CAISI (NIST) Government evaluator · 2026-07-17 |
automated benchmark evaluations for safeguards coverage and public jailbreaking robustness against sensitive biological queries Chemical, biological, radiological, nuclear |
“Figure 6.4: On automated benchmark evaluations for safeguards coverage and public jailbreaking robustness against sensitive biological queries, GLM-5.2 complied at a higher rate than tested US models, both with and without the use of a public jailbreak.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
US CAISI (NIST) Government evaluator · 2026-07-17 |
automated benchmark evaluations against sensitive biological queries Chemical, biological, radiological, nuclear |
“Figure 6.5: On automated benchmark evaluations against sensitive biological queries, GLM-5.2 responded with a higher rate of request-relevant detail than tested US models.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
US CAISI (NIST) Government evaluator · 2026-07-17 |
caisi biology safeguards Chemical, biological, radiological, nuclear |
“sensitive biological queries, GLM-5.2 responded with a higher rate of request-relevant detail than tested US models.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
US CAISI (NIST) Government evaluator · 2026-07-17 |
caisi cyber safeguards Cyber |
“CAISI cyber safeguards . A private benchmark created by CAISI that evaluates models against a dataset of 30 single-turn misuse requests related to offensive cyber.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
US CAISI (NIST) Government evaluator · 2026-07-17 |
hijackeval Prompt injection and agents |
“HijackEval . A private benchmark created by CAISI that evaluates models’ robustness against agent hijacking attacks.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
US CAISI (NIST) Government evaluator · 2026-07-17 |
portbench Other |
“Budgets were set to 1M weighted tokens for PortBench and CTF-Archive-Diamond, and 500k weighted tokens for SWE-Bench 4 OpenRouter (2026) Z.ai: GLM 5.2 .” source |
| GLM-5.2 Z.ai (Zhipu AI) |
UK AI Security Institute Government evaluator · 2026-07-17 |
narrow cyber tasks Cyber |
“On these tasks, GLM-5.2 performs comparably to the most cyber-capable models released 4 months before it (Opus 4.6 and GPT-5.3-Codex), and this holds across all four difficulty levels.” source |
| GLM-5.2 Z.ai (Zhipu AI) |
UK AI Security Institute Government evaluator · 2026-07-17 |
cyber ranges Cyber |
“On TLO, GLM-5.2 reaches as far as Opus 4.5, a model released less than 7 months before it, while DeepSeek’s V4-Pro falls below Sonnet 4.5 (a sub-cyber-frontier model released 7 months before it).” source |
| GLM-5.2 Z.ai (Zhipu AI) |
UK AI Security Institute Government evaluator · 2026-07-17 |
The Last Ones (TLO) Cyber |
“Notably, GLM-5.2 reached step 7 with marginally fewer tokens than any other model on average, tracking Opus 4.6’s trajectory to step 11 before stalling.” source |
| DeepSeek-V4-Pro DeepSeek |
UK AI Security Institute Government evaluator · 2026-07-17 |
AISI's narrow cyber tasks Cyber |
“DeepSeek’s V4-Pro is comparable to Opus 4.5, released 5 months before it.” source |
| DeepSeek-V4-Pro DeepSeek |
UK AI Security Institute Government evaluator · 2026-07-17 |
cyber range "The Last Ones" (TLO) Cyber |
“On TLO, GLM-5.2 reaches as far as Opus 4.5, a model released less than 7 months before it, while DeepSeek’s V4-Pro falls below Sonnet 4.5 (a sub-cyber-frontier model released 7 months before it).” source |
| DeepSeek-V4-Pro DeepSeek |
UK AI Security Institute Government evaluator · 2026-07-17 |
refusal behaviour on narrow cyber tasks Cyber |
“DeepSeek V4-Pro occasionally refused narrow cyber tasks, mainly in reverse engineering, which we circumvented simply via a small number of repeat attempts at refused tasks.” source |
| Gemini 3.1 Pro Google DeepMind |
SecureBio Independent lab · 2026-07-16 |
biotier-refuse Chemical, biological, radiological, nuclear |
“Google’s update to their mental health related safeguards made headlines , but we also identified changes to their biology safeguards, with an almost 30% increase in the refusal behavior of Gemini 3.1 Pro on BioTIER-refuse due to introduction of API-level refusals.” source |
| Gemini 3.1 Pro Google DeepMind |
SecureBio Independent lab · 2026-07-16 |
biotier-permit Chemical, biological, radiological, nuclear |
“Importantly, this increase in BioTIER-refuse performance had no impact on BioTIER-permit compliance .” source |
| Gemini 3.1 Pro Google DeepMind |
SecureBio Independent lab · 2026-07-16 |
BioTier Chemical, biological, radiological, nuclear |
“Google’s update to their mental health related safeguards made headlines, but we also identified changes to their biology safeguards, with an almost 30% increase in the refusal behavior of Gemini 3.1 Pro on BioTIER-refuse due to introduction of API-level refusals.” source |
| Gemini 2.5 Pro Google DeepMind |
SaferAI Independent lab · 2026-07-16 |
situational-awareness suite Autonomy and AI research |
“Whilst, the situational-awareness evidence provides moderate confirmation for the narrow claim that current models do not reliably display the specific situationally aware, constraint-lifting behaviours measured by this suite.” source |
| Gemini 2.5 Pro Google DeepMind |
SaferAI Independent lab · 2026-07-16 |
cover_your_tracks Deception and sabotage |
“cover_your_tracks is especially valuable because it combines several relevant covert subskills: identifying a subversive opportunity, altering or deleting traces, avoiding downstream detection, and completing a cover-up end-to-end.” source |
| Gemini 2.5 Pro Google DeepMind |
SaferAI Independent lab · 2026-07-16 |
classifier_evasion Deception and sabotage |
“classifier_evasion is also comparatively informative because it more directly tests whether the model can evade an active monitoring system by phrasing prohibited content in a way that avoids detection.” source |
| Gemini 2.5 Pro Google DeepMind |
SaferAI Independent lab · 2026-07-16 |
strategic_rule_breaking Deception and sabotage |
“strategic_rule_breaking contributes less.” source |
| Gemini 2.5 Pro Google DeepMind |
SaferAI Independent lab · 2026-07-16 |
oversight_pattern Deception and sabotage |
“The oversight_pattern task is also weak as evidence for stealth specifically.” source |
| Gemini 2.5 Pro Google DeepMind |
SaferAI Independent lab · 2026-07-16 |
decision_sabotage Deception and sabotage |
“decision _sabotagein particular measures a real sabotage channel, but not a cleanly stealth-specific one.” source |
| GPT-5.5 Pro OpenAI |
SecureBio Independent lab · 2026-07-16 |
biotier-refuse Chemical, biological, radiological, nuclear |
“At the same time, we saw GPT-5.5 Pro and Grok 4.20 drop in performance on BioTIER-refuse, while Claude Opus 4.8 showed little change at all.” source |
| GPT-5.5 Pro OpenAI |
SecureBio Independent lab · 2026-07-16 |
biotier-permit Chemical, biological, radiological, nuclear |
“We split these sets into two evaluation components: BioTIER-refuse (CA + BD: which models should decline) and BioTIER-permit (RB: which models should answer).” source |
| Claude Opus 4.8 Anthropic |
SecureBio Independent lab · 2026-07-16 |
BioTIER-permit Chemical, biological, radiological, nuclear |
“BioTIER-permit (correctly answering benign prompts) is shown in the right panel.” source |
| Claude Haiku 4.5 Anthropic |
SecureBio Independent lab · 2026-07-16 |
biotier-refuse Chemical, biological, radiological, nuclear |
“On BioTIER-refuse, model behavior spanned more than 90 percentage points, with the least cautious model refusing under 10% of dangerous queries, while the most cautious refused almost 100%.” source |
| Claude Haiku 4.5 Anthropic |
SecureBio Independent lab · 2026-07-16 |
biotier-permit Chemical, biological, radiological, nuclear |
“On BioTIER-permit, the picture was far more uniform: almost every model answered almost every benign query, with many sitting at the 100% ceiling, and the lowest still scoring 75%.” source |
| Claude Haiku 4.5 Anthropic |
SecureBio Independent lab · 2026-07-16 |
BioTier Chemical, biological, radiological, nuclear |
“Our analysis covers small models like Claude Haiku 4.5 and large models like GPT-5.5 Pro.” source |
| Muse Spark 1.1 Meta |
SecureBio Independent lab · 2026-07-09 |
Molecular Biology Capabilities Test (MBCT) Chemical, biological, radiological, nuclear |
“The Molecular Biology Capabilities Test (MBCT), Virology Capabilities Test (VCT), and Human Pathogens Capabilities Test (HPCT) are part of a suite of evaluations developed by SecureBio and the Center for AI Safety (Götting et al., 2025; SecureBio, 2025).” source |
| Muse Spark 1.1 Meta |
Meta AI Independent lab · 2026-07-09 |
Virology Capabilities Test (VCT) Chemical, biological, radiological, nuclear |
“They assess practical troubleshooting across molecular biology tasks (MBCT), wet-lab virology experiments (VCT), and practical knowledge about working with high-priority human pathogens (HPCT), and are run in the recommended multiple-response multiple-choice configuration (Figure 1).” source |
| Muse Spark 1.1 Meta |
SecureBio Independent lab · 2026-07-09 |
ABC Bench Chemical, biological, radiological, nuclear |
“The Agentic Bio-Capabilities Benchmark (ABC Bench), developed by SecureBio, measures an LLM’s ability to complete computational tasks relevant to a threat actor seeking to design, synthesize, and assemble a complex genetic construct.” source |
| Muse Spark 1.1 Meta |
Meta AI Independent lab · 2026-07-09 |
multi-turn social-engineering capability benchmark Misuse and jailbreaks |
“Figure 12 Multi-turn social-engineering capabilityComposite score by model on Charlemagne Labs’ multi-turn social-engineering capability benchmark.” source |
| Muse Spark 1.1 Meta |
Meta AI Independent lab · 2026-07-09 |
Fortress Misuse and jailbreaks |
“Scale AI runs the private split of FORTRESS and we include the results in Figure 26.” source |
| Muse Spark 1.1 Meta |
Meta AI Independent lab · 2026-07-09 |
GraySwan ART Benchmark Prompt injection and agents |
“GraySwan additionally ran prompt-injection attacks using their private Agent Red Teaming (ART) benchmark (Zou et al., 2025) before the Muse Spark 1.1 launch.” source |
| Muse Spark 1.1 Meta |
Meta AI Independent lab · 2026-07-09 |
finance agent v2 Other |
“We’re sourcing results from Vals AI.” source |
| Muse Spark 1.1 Meta |
Meta AI Independent lab · 2026-07-09 |
swe-bench pro Other |
“Muse Spark 1.1 results are sourced from Scale AI leaderboard.” source |
| GPT-5.6 Terra OpenAI |
Independent lab Independent lab · 2026-07-09 |
expert human and external tester red teaming Misuse and jailbreaks |
“Experthumansandexternal testersusedadiversesetofapproachestofindgaps.” source |
| GPT-5.6 Terra OpenAI |
Independent lab Independent lab · 2026-07-09 |
molecular biology capabilities test Chemical, biological, radiological, nuclear |
“Itsstrongestreportedconfigurationsscored53.5%ontheVirology CapabilitiesTest,60.0%ontheMolecularBiologyCapabilitiesTest,68.4% ontheHumanPathogenCapabilitiesTest, and68.3%onWorld-ClassBio.” source |
| GPT-5.6 Terra OpenAI |
Independent lab Independent lab · 2026-07-09 |
REPRO-BAIT Chemical, biological, radiological, nuclear |
“On ReproBAIT, which measures AI agents on their ability to independently reproducebiologicalAImodels(BAIMs)frompublishedscientificpapers, therailfreevariantofGPT-5.6reached85%,comparedwith82%forGPT- 5.5.” source |
| GPT-5.6 Terra OpenAI |
Independent lab Independent lab · 2026-07-09 |
manual agentic assessment Chemical, biological, radiological, nuclear |
“In manual agentic assessment, the model was able to plan and execute a complex,long-runningscientifictask,includingmaintainingastructured workgraphandcoordinatingsubagents.” source |
| GPT-5.6 Terra OpenAI |
Independent lab Independent lab · 2026-07-09 |
Frontier Cyber Cyber |
“IrregularfoundthatGPT-5.6Solhason-parorslightlystrongeroffensive- cyber capabilities than GPT-5.5.” source |