Anthropic
Claude Opus 4.8
Published evidence on capabilities, behavioral tendencies and observed actions.
- First public availability
- 2026-05-28
- Parameters
- Not disclosed
- Metadata updated
- 2026-10-27
Evidence overview
Developer documentation is linked below. Structured risk results have not yet been extracted for this exact model record.
NUWA curates and interprets these sources. Experiments are attributed to their original executors; this page does not claim NUWA has independently replicated them.
MODEL MONITORING
Representative benchmark coverage
Results by protocol and configuration; gaps show records awaiting collection or linkage.
AgentCyberRange →
No eligible measurement linked to this model version.
Cybench →
No eligible measurement linked to this model version.
CyberGym →
No eligible measurement linked to this model version.
METR Time Horizons →
No eligible measurement linked to this model version.
SEC-bench Pro →
No eligible measurement linked to this model version.
MASK →
No eligible measurement linked to this model version.
Attempt to Persuade Eval (APE) →
No eligible measurement linked to this model version.
DeceptionBench →
No eligible measurement linked to this model version.
PersuSafety →
No eligible measurement linked to this model version.
All linked measurements
Each result retains its protocol and unit.
10 observations
| System / model | Result | Condition status | Task / conditions | Evaluator / report | Dates |
|---|---|---|---|---|---|
| 120 countExploitGym · Intended-target successes | Incomplete | Version not specifiedon_target6h timeout— | Not disclosedExploitGym official leaderboard and benchmark page | Release 2026-05-28Report — | |
| 80 countExploitGym · Intended-target successes | Incomplete | Version not specifiedon_target2h timeout cutoff— | Not disclosedExploitGym official leaderboard and benchmark page | Release 2026-05-28Report — | |
| 1 score (1–10)Petri · Gram mean concerning score | Incomplete | Gram: Alignment Eval SabotageObserveGram (Google DeepMind Petri variant); auditor Claude Sonnet 4.6; judge Kimi K2.6; SE across 5 independent runs per scenario | Neo ResearchEarly Results on Evaluating GLM 5.2 for Behavioral and Persuasion Risks | Release 2026-05-28Report 2026-07-03 | |
| 1 score (1–10)Petri · Gram mean concerning score | Incomplete | Gram: Incident ResponseObserveGram (Google DeepMind Petri variant); auditor Claude Sonnet 4.6; judge Kimi K2.6; SE across 5 independent runs per scenario | Neo ResearchEarly Results on Evaluating GLM 5.2 for Behavioral and Persuasion Risks | Release 2026-05-28Report 2026-07-03 | |
| 1 score (1–10)Petri · Gram mean concerning score | Incomplete | Gram: Multi-Agent RankingObserveGram (Google DeepMind Petri variant); auditor Claude Sonnet 4.6; judge Kimi K2.6; SE across 5 independent runs per scenario | Neo ResearchEarly Results on Evaluating GLM 5.2 for Behavioral and Persuasion Risks | Release 2026-05-28Report 2026-07-03 | |
| 1 score (1–10)Petri · Gram mean concerning score | Incomplete | Gram: Research DeadlineObserveGram (Google DeepMind Petri variant); auditor Claude Sonnet 4.6; judge Kimi K2.6; SE across 5 independent runs per scenario | Neo ResearchEarly Results on Evaluating GLM 5.2 for Behavioral and Persuasion Risks | Release 2026-05-28Report 2026-07-03 | |
| 1.2 score (1–10)Petri · Gram mean concerning score | Incomplete | Gram: Alignment Eval SabotageRedteamGram (Google DeepMind Petri variant); auditor Claude Sonnet 4.6; judge Kimi K2.6; SE across 5 independent runs per scenario | Neo ResearchEarly Results on Evaluating GLM 5.2 for Behavioral and Persuasion Risks | Release 2026-05-28Report 2026-07-03 | |
| 1 score (1–10)Petri · Gram mean concerning score | Incomplete | Gram: Incident ResponseRedteamGram (Google DeepMind Petri variant); auditor Claude Sonnet 4.6; judge Kimi K2.6; SE across 5 independent runs per scenario | Neo ResearchEarly Results on Evaluating GLM 5.2 for Behavioral and Persuasion Risks | Release 2026-05-28Report 2026-07-03 | |
| 1 score (1–10)Petri · Gram mean concerning score | Incomplete | Gram: Multi-Agent RankingRedteamGram (Google DeepMind Petri variant); auditor Claude Sonnet 4.6; judge Kimi K2.6; SE across 5 independent runs per scenario | Neo ResearchEarly Results on Evaluating GLM 5.2 for Behavioral and Persuasion Risks | Release 2026-05-28Report 2026-07-03 | |
| 1 score (1–10)Petri · Gram mean concerning score | Incomplete | Gram: Research DeadlineRedteamGram (Google DeepMind Petri variant); auditor Claude Sonnet 4.6; judge Kimi K2.6; SE across 5 independent runs per scenario | Neo ResearchEarly Results on Evaluating GLM 5.2 for Behavioral and Persuasion Risks | Release 2026-05-28Report 2026-07-03 |
Developer disclosures
Claude Opus 4.8 System Card →
Developer documentation covering Claude Opus 4.8.
2026-05-28 · Updated 2026-06-17External assessments
Neo Research
Early Results on Evaluating GLM 5.2 for Behavioral and Persuasion Risks →
The note reports scenario-dependent behavior and an uncertain decline in verbalized evaluation awareness; silence is not evidence of absent awareness.
2026-07-03ExploitGym official snapshot →
Published evaluation results collected from ExploitGym, retaining the reported systems and configurations.
Publication date not establishedEvidence by risk topic
Autonomy No structured result linked
A gap in this collection is not evidence of low risk. Consult the linked reports for unextracted findings and protocol scope.
Deception No structured result linked
A gap in this collection is not evidence of low risk. Consult the linked reports for unextracted findings and protocol scope.
Cybersecurity 2 protocol results
ExploitGym · Version not specified · on_target →
External evaluation · Executed by
- Intended-target successes
- 120 count
Per-result sample size not disclosed
ExploitGym · Version not specified · on_target →
External evaluation · Executed by
- Intended-target successes
- 80 count
Per-result sample size not disclosed
CBRN No structured result linked
A gap in this collection is not evidence of low risk. Consult the linked reports for unextracted findings and protocol scope.
Disinformation No structured result linked
A gap in this collection is not evidence of low risk. Consult the linked reports for unextracted findings and protocol scope.
Autonomous physical harm No structured result linked
A gap in this collection is not evidence of low risk. Consult the linked reports for unextracted findings and protocol scope.
Source review and evidence gaps
ExploitGym →
Published evaluation results collected from ExploitGym, retaining the reported systems and configurations.
Intended-target success and flag capture are distinct counts. Task versions and timeout cutoffs remain separate. Catalogue size is not assumed to be the denominator for each submission.
Early Results on Evaluating GLM 5.2 for Behavioral and Persuasion Risks →
Source-specific extraction of Neo Research · GLM-5.2. Findings and measurements retain their original attribution.
Source transcription is not experimental replication. Unknown dates, evaluator roles and configuration details remain unknown. Source groups are not verified rankings.
Missing scores may reflect unextracted sections, undisclosed configurations, unresolved identity or an absent experiment. These are separate research questions; none implies a zero result.
Interpretation and open questions
Differences between reports can reflect task selection, model endpoints, prompts, budgets, judges and publication dates. Evidence is grouped by the protocol actually used; no model-wide safety grade is inferred.
References
- [1] Introducing Claude Opus 4.8 — Anthropic ; Publication date and availability section; Official launch article; parameter counts not disclosed
- [2] Early Results on Evaluating GLM 5.2 for Behavioral and Persuasion Risks. 2026-07-03. 3 July 2026 ; #behavioral; Figure 3 / gram_observe.png; printed label Alignment Eval Sabotage / Claude Opus 4.8; #behavioral; Figure 3 / gram_observe.png; printed label Incident Response / Claude Opus 4.8
- [3] Claude Opus 4.8 System Card. 2026-05-28. 2026-06-17
- [4] ExploitGym official leaderboard and benchmark page ; /results/11/on_target; /results/11/subRows/0/on_target