Claude Opus 4.5
v20251101Anthropic
Anthropic's most capable model with 80.9% SWE-bench (industry-leading), unique effort parameter for compute control, and exceptional abstract reasoning. First model to exceed 80% on SWE-bench Verified.
Trust Vector Analysis
Dimension Breakdown
🚀Performance & Reliability+
Industry-leading coding capabilities with 80.9% SWE-bench. Unique effort parameter allows compute control. Exceptional abstract reasoning (37.6% ARC-AGI-2).
Industry-standard coding benchmarks measuring real-world software engineering tasks
Graduate and PhD-level reasoning benchmarks requiring multi-step problem solving
Comprehensive knowledge and multimodal testing
Internal testing with effort parameter across quality levels
Median latency for API requests with standard prompt sizes
95th percentile response time across diverse workloads
Official specification from provider
Historical uptime data from official status page
🛡️Security+
Strongest safety posture in the Claude family. Enhanced Constitutional AI provides industry-leading jailbreak resistance.
Testing against OWASP LLM01 prompt injection attacks
Testing against adversarial prompt datasets
Analysis of privacy policies and data handling practices
Comprehensive safety testing across harmful content categories
Review of API security features and best practices
🔒Privacy & Compliance+
Exceptional privacy posture with ephemeral data handling and strong compliance certifications. HIPAA eligible for healthcare.
Review of enterprise documentation and privacy policies
Analysis of privacy policy and data usage terms
Review of terms of service and data retention policies
Review of data protection capabilities and customer responsibilities
Verification of compliance certifications and audit reports
Review of data handling practices
👁️Trust & Transparency+
Strong explainability with effort parameter control. Enhanced Constitutional AI provides transparency in alignment approach.
Evaluation of reasoning transparency and explanation capabilities
Testing on factual QA datasets and real-world usage
Evaluation on bias benchmarks and diverse demographic testing
Qualitative assessment of confidence expression in outputs
Review of documentation completeness and clarity
Review of public disclosures about training data
Analysis of built-in safety mechanisms
⚙️Operational Excellence+
Excellent operational maturity with multi-cloud availability. Effort parameter adds unique control capability. Enterprise-ready.
Review of API design, consistency, and feature completeness
Review of SDK quality, documentation, and maintenance
Review of versioning policy and historical practices
Review of available monitoring tools and metrics
Assessment of documentation, community, and support responsiveness
Analysis of third-party integrations and tools
Review of licensing terms and restrictions
- +Industry-leading coding: 80.9% SWE-bench Verified (first model >80%)
- +Unique effort parameter for compute/quality control
- +Exceptional abstract reasoning: 37.6% ARC-AGI-2 (2x GPT-5.1)
- +Best computer-use model: 66.3% OSWorld
- +67% price reduction from Opus 4.1 ($5/$25 vs $15/$75)
- +HIPAA eligible with ephemeral data handling
- +Multi-cloud availability (AWS, GCP, Azure)
- !Higher latency than Sonnet models (~2.5s p50)
- !Smaller context than Gemini 3 (200K vs 1M)
- !Premium pricing ($5/$25 per 1M tokens)
- !No native audio capabilities
- !Training data transparency limited (industry standard)
Use Case Ratings
code generation
Industry-leading 80.9% SWE-bench. Best model for complex software engineering. Effort parameter enables quality/speed tradeoffs.
customer support
Strong empathy and natural conversation. Higher latency than Sonnet but superior quality for complex support.
content creation
Excellent for long-form, nuanced content. Effort parameter allows quality optimization for important pieces.
data analysis
Strong analytical capabilities. Effort parameter excellent for complex data interpretation.
research assistant
Exceptional for deep research. 200K context and effort parameter ideal for comprehensive analysis.
legal compliance
Strong privacy posture, HIPAA eligible. Effort parameter useful for thorough contract analysis.
healthcare
HIPAA eligible with strong privacy controls. Good for clinical documentation requiring high accuracy.
financial analysis
Excellent quantitative reasoning. Effort parameter enables thorough financial modeling.
education
Excellent tutoring with patient explanations. Can adjust effort based on question complexity.
creative writing
Strong creative capabilities with nuanced character development and narrative flow.