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Claude Sonnet 4.5

Anthropic

90·Exceptional

Overall Trust Score

State-of-the-art AI model with exceptional coding capabilities, extended thinking, and strong safety features. Best-in-class for software development tasks.

coding

reasoning

enterprise

hipaa-eligible

safety-focused

extended-thinking

Version: 20250929

Last Evaluated: November 7, 2025

Official Website →

Trust Vector

Performance & Reliability

Exceptional performance across coding, reasoning, and general tasks. Extended thinking capability enables more reliable outputs for complex problems.

task accuracy code

Methodology

Industry-standard coding benchmarks measuring real-world software engineering tasks

Evidence

SWE-bench Verified

49.0% resolution rate (highest on benchmark)

Date: 2024-10-22

Anthropic Internal Benchmarks

Best coding model across HumanEval, MBPP, and CodeContests

Date: 2025-09-29

Confidence: highLast verified: 2025-11-07

task accuracy reasoning

Methodology

Graduate and PhD-level reasoning benchmarks requiring multi-step problem solving

Evidence

GPQA Diamond

65.0% (PhD-level reasoning)

Date: 2025-09-29

MATH-500

92.3% accuracy

Date: 2025-09-29

Confidence: highLast verified: 2025-11-07

task accuracy general

Methodology

Crowdsourced blind comparisons and comprehensive knowledge testing

Evidence

LMSYS Chatbot Arena

1324 ELO (Rank #2 overall)

Date: 2024-10-17

MMLU-Pro

78.0% on graduate-level knowledge

Date: 2025-09-29

Confidence: highLast verified: 2025-11-07

output consistency

Methodology

Internal testing with repeated prompts at various temperature settings

Evidence

Anthropic Documentation

Consistent outputs across temperature settings 0.0-1.0

Date: 2025-10-01

Confidence: mediumLast verified: 2025-11-07

Note: Extended thinking feature provides more consistent reasoning paths

latency p50

Value: 1.8s

Methodology

Median latency for API requests with standard prompt sizes

Evidence

Anthropic API Documentation

Typical response time ~1.8s for standard prompts

Date: 2025-10-01

Confidence: mediumLast verified: 2025-11-07

latency p95

Value: 3.2s

Methodology

95th percentile response time across diverse workloads

Evidence

Community benchmarking

p95 latency ~3.2s

Date: 2025-10-15

Confidence: mediumLast verified: 2025-11-07

context window

Value: 200,000 tokens

Methodology

Official specification from provider

Evidence

Anthropic API Documentation

200K token context window

Date: 2025-10-01

Confidence: highLast verified: 2025-11-07

uptime

Methodology

Historical uptime data from official status page

Evidence

Anthropic Status Page

99.95% uptime (last 90 days)

Date: 2025-11-01

Confidence: highLast verified: 2025-11-07

Security

Strong security posture with Constitutional AI providing robust guardrails. Best-in-class prompt injection resistance.

prompt injection resistance

Methodology

Testing against OWASP LLM01 prompt injection attacks

Evidence

Anthropic Safety Research

90% resistance to prompt injection attacks in testing

Date: 2024-09-15

Community Testing (Lakera)

Strong resistance compared to competitors

Date: 2024-10-01

Confidence: highLast verified: 2025-11-07

jailbreak resistance

Methodology

Testing against adversarial prompt datasets

Evidence

Anthropic Constitutional AI

Constitutional AI provides strong jailbreak resistance

Date: 2024-08-20

Community Testing

92% resistance to adversarial prompts

Date: 2024-09-10

Confidence: highLast verified: 2025-11-07

data leakage prevention

Methodology

Analysis of privacy policies and data handling practices

Evidence

Anthropic Privacy Statement

No training on user data without explicit consent

Date: 2025-01-15

Confidence: mediumLast verified: 2025-11-07

Note: Strong policies, but inherent LLM memorization risks exist

output safety

Methodology

Comprehensive safety testing across harmful content categories

Evidence

Anthropic Safety Evaluations

ASL-2 safety level, lowest refusal rate while maintaining safety

Date: 2025-09-29

Confidence: highLast verified: 2025-11-07

api security

Methodology

Review of API security features and best practices

Evidence

Anthropic API Documentation

API key authentication, HTTPS only, rate limiting

Date: 2025-10-01

Confidence: highLast verified: 2025-11-07

Privacy & Compliance

Exceptional privacy posture with ephemeral data handling and strong compliance certifications. HIPAA eligible.

data residency

Value: US, EU (customer choice)

Methodology

Review of enterprise documentation and privacy policies

Evidence

Anthropic Enterprise Documentation

Data residency options for US and EU customers

Date: 2025-01-15

Confidence: highLast verified: 2025-11-07

training data optout

Methodology

Analysis of privacy policy and data usage terms

Evidence

Anthropic Privacy Policy

Opt-out available, no training on API data by default

Date: 2025-01-15

Confidence: highLast verified: 2025-11-07

data retention

Value: 0 days (ephemeral)

Methodology

Review of terms of service and data retention policies

Evidence

Anthropic Terms of Service

API prompts and outputs not retained (except for trust & safety)

Date: 2025-01-15

Confidence: highLast verified: 2025-11-07

pii handling

Methodology

Review of data protection capabilities and customer responsibilities

Evidence

Anthropic Privacy Documentation

Customer responsible for PII redaction, no automatic detection

Date: 2025-01-15

Confidence: mediumLast verified: 2025-11-07

Note: No built-in PII detection, customers must implement their own controls

compliance certifications

Methodology

Verification of compliance certifications and audit reports

Evidence

Anthropic Trust Center

SOC 2 Type II, GDPR compliant, HIPAA eligible

Date: 2025-02-01

Confidence: highLast verified: 2025-11-07

zero data retention

Methodology

Review of data handling practices

Evidence

Anthropic API Documentation

Ephemeral data processing, no storage of prompts/outputs

Date: 2025-01-15

Confidence: highLast verified: 2025-11-07

Trust & Transparency

Strong explainability with extended thinking feature. Constitutional AI provides transparency in alignment approach. Training data transparency could be improved.

explainability

Methodology

Evaluation of reasoning transparency and explanation capabilities

Evidence

Extended Thinking Feature

Extended thinking mode exposes reasoning process

Date: 2025-09-29

Anthropic Research

Constitutional AI provides interpretable alignment

Date: 2024-12-15

Confidence: highLast verified: 2025-11-07

hallucination rate

Methodology

Testing on factual QA datasets and real-world usage

Evidence

SimpleQA Benchmark

Claude performs well on factual accuracy tests

Date: 2024-10-01

Community Testing

Lower hallucination rate with citation requests

Date: 2024-09-15

Confidence: mediumLast verified: 2025-11-07

Note: Extended thinking mode reduces hallucinations further

bias fairness

Methodology

Evaluation on bias benchmarks and diverse demographic testing

Evidence

Anthropic Responsible Scaling Policy

Regular bias testing and mitigation

Date: 2024-09-16

BBQ Benchmark

Moderate performance on bias detection benchmarks

Date: 2024-08-01

Confidence: mediumLast verified: 2025-11-07

Note: Ongoing work, Constitutional AI helps but not perfect

uncertainty quantification

Methodology

Qualitative assessment of confidence expression in outputs

Evidence

Model Behavior

Model expresses uncertainty when appropriate

Date: 2025-10-01

Confidence: mediumLast verified: 2025-11-07

Note: No explicit confidence scores, relies on natural language expression

model card quality

Methodology

Review of documentation completeness and clarity

Evidence

Anthropic Model Documentation

Comprehensive model cards with capabilities, limitations, benchmarks

Date: 2025-10-01

Confidence: highLast verified: 2025-11-07

training data transparency

Methodology

Review of public disclosures about training data

Evidence

Anthropic Public Statements

General description provided, detailed sources not disclosed

Date: 2024-12-01

Confidence: mediumLast verified: 2025-11-07

Note: Limited transparency on specific training data sources (industry standard)

guardrails

Methodology

Analysis of built-in safety mechanisms

Evidence

Constitutional AI

Built-in Constitutional AI safety guardrails

Date: 2024-08-20

Confidence: highLast verified: 2025-11-07

Operational Excellence

Excellent operational maturity with well-designed APIs, strong SDKs, and good documentation. Enterprise-ready.

api design quality

Methodology

Review of API design, consistency, and feature completeness

Evidence

Anthropic API Documentation

RESTful API with streaming, function calling, vision support

Date: 2025-10-01

Confidence: highLast verified: 2025-11-07

sdk quality

Methodology

Review of SDK quality, documentation, and maintenance

Evidence

Anthropic SDKs

Official SDKs for Python, TypeScript, actively maintained

Date: 2025-10-01

Confidence: highLast verified: 2025-11-07

versioning policy

Methodology

Review of versioning policy and historical practices

Evidence

Anthropic API Versioning

Clear versioning with 6-month deprecation notice

Date: 2025-10-01

Confidence: highLast verified: 2025-11-07

monitoring observability

Methodology

Review of available monitoring tools and metrics

Evidence

Anthropic Console

Usage dashboard with metrics, but limited observability

Date: 2025-10-01

Confidence: mediumLast verified: 2025-11-07

Note: Basic metrics available, but no detailed request tracing

support quality

Methodology

Assessment of documentation, community, and support responsiveness

Evidence

Anthropic Support

Email support, Discord community, comprehensive docs

Date: 2025-10-01

Confidence: highLast verified: 2025-11-07

ecosystem maturity

Methodology

Analysis of third-party integrations and tools

Evidence

GitHub Ecosystem

Growing ecosystem with LangChain, LlamaIndex integration

Date: 2025-11-01

Confidence: highLast verified: 2025-11-07

license terms

Methodology

Review of licensing terms and restrictions

Evidence

Anthropic Terms of Service

Standard commercial terms, enterprise agreements available

Date: 2025-01-15

Confidence: highLast verified: 2025-11-07

✨ Strengths

•Best-in-class coding capabilities (SWE-bench leader)
•Extended thinking feature for complex problem-solving
•Exceptional privacy posture with ephemeral data handling
•Strong safety and jailbreak resistance via Constitutional AI
•200K context window enables large-scale document processing
•HIPAA eligible for healthcare applications

⚠️ Limitations

•Higher latency than some competitors (~1.8s p50)
•Limited vision capabilities compared to multimodal specialists
•Training data transparency could be improved
•No built-in PII detection (customer responsibility)
•Premium pricing ($3/$15 per 1M tokens)

📊 Metadata

pricing:

input: $3.00 per 1M tokens

output: $15.00 per 1M tokens

notes: Premium tier pricing, batch discounts available for enterprise

context window: 200000

languages:

0: English

1: Spanish

2: French

3: German

4: Italian

5: Portuguese

6: Japanese

7: Korean

8: Chinese

9: Arabic

10: Hindi

modalities:

0: text

1: image (input)

2: document

api endpoint: https://api.anthropic.com/v1/messages

open source: false

architecture: Transformer-based with Constitutional AI alignment

parameters: Not disclosed

Use Case Ratings

code generation

Best-in-class for code generation. Exceptional at Python, TypeScript, and explaining code. Extended thinking helps with complex architectural decisions.

customer support

Strong empathy and natural conversation. Slightly higher latency than specialized models, but excellent quality.

content creation

Excellent for long-form content, maintains consistent voice and structure. Natural writing style.

data analysis

Strong SQL generation and data interpretation. Extended thinking excellent for complex analytical tasks.

research assistant

Excellent summarization and synthesis. Extended thinking mode provides detailed reasoning for complex topics.

legal compliance

Strong privacy posture and careful reasoning. HIPAA eligible. Extended thinking useful for contract analysis.

healthcare

HIPAA eligible with strong privacy controls. Good for clinical documentation but requires human oversight.

financial analysis

Strong analytical capabilities and mathematical reasoning. Good for financial modeling and report generation.

education

Excellent tutoring capabilities with patient explanations. Extended thinking shows work step-by-step.

creative writing

Good for creative tasks but can be slightly verbose. Strong dialogue and character development.

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