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Claude Haiku 4.5

Anthropic

90·Exceptional

Overall Trust Score

Anthropic's fastest model released October 2025. Best coding performance (73.3% SWE-bench) at 1/3 cost and 2x speed of Sonnet 4. First Haiku with extended thinking.

coding
fast
budget
hipaa-eligible
privacy
extended-thinking
computer-use
multi-agent
value
Version: 20251015
Last Evaluated: November 17, 2025
Official Website →

Trust Vector

Performance & Reliability

93

Best coding model for the price. 73.3% SWE-bench beats Sonnet 4. 4-5x faster than Sonnet 4.5. Flagship performance at budget pricing.

task accuracy code
96
Methodology
Industry-standard coding benchmarks
Evidence
SWE-bench Verified
73.3% (beats Sonnet 4's 72.7%)
Date: 2025-10-15
Terminal-Bench
41% (on par with Sonnet 4, GPT-5)
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
task accuracy reasoning
89
Methodology
Reasoning benchmarks
Evidence
Anthropic Benchmarks
Strong reasoning with extended thinking
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
task accuracy general
90
Methodology
Comprehensive knowledge testing
Evidence
General Benchmarks
Flagship-level performance at small model size
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
output consistency
88
Methodology
Internal testing
Evidence
Anthropic Documentation
Consistent with extended thinking
Date: 2025-10-15
Confidence: mediumLast verified: 2025-11-17
latency p50
Value: 0.4s
Methodology
Median latency
Evidence
Anthropic Performance Data
4-5x faster than Sonnet 4.5
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
latency p95
Value: 0.9s
Methodology
95th percentile
Evidence
Community benchmarking
Extremely fast p95
Date: 2025-10-20
Confidence: highLast verified: 2025-11-17
context window
Value: 200,000 tokens
Methodology
Official specification
Evidence
Anthropic API Docs
200K context, 64K max output
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
uptime
99
Methodology
Historical uptime data
Evidence
Anthropic Status Page
99.95% uptime
Date: 2025-10-20
Confidence: highLast verified: 2025-11-17

Security

86

Strong security with ASL-2 standard. Constitutional AI guardrails. Less restrictive than ASL-3 models.

prompt injection resistance
87
Methodology
OWASP LLM01 testing
Evidence
Anthropic Safety
Strong Constitutional AI resistance
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
jailbreak resistance
88
Methodology
Adversarial testing
Evidence
Anthropic Constitutional AI
Robust jailbreak resistance
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
data leakage prevention
84
Methodology
Privacy policy analysis
Evidence
Anthropic Privacy
No training on user data
Date: 2025-10-15
Confidence: mediumLast verified: 2025-11-17
output safety
89
Methodology
Safety testing
Evidence
ASL-2 Safety Standard
ASL-2 safety level
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
api security
86
Methodology
Security review
Evidence
Anthropic API
Standard API security
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17

Privacy & Compliance

91

Excellent privacy with ephemeral data. HIPAA eligible at budget pricing. Strong compliance.

data residency
Value: US, EU (customer choice)
Methodology
Enterprise docs review
Evidence
Anthropic Enterprise
Data residency options
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
training data optout
95
Methodology
Policy analysis
Evidence
Anthropic Privacy Policy
No API data training
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
data retention
Value: 0 days (ephemeral)
Methodology
Terms review
Evidence
Anthropic Terms
Ephemeral processing
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
pii handling
87
Methodology
Data protection review
Evidence
Anthropic Privacy Docs
Customer PII responsibility
Date: 2025-10-15
Confidence: mediumLast verified: 2025-11-17
compliance certifications
92
Methodology
Certification verification
Evidence
Anthropic Trust Center
SOC 2, GDPR, HIPAA eligible
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
zero data retention
95
Methodology
Data handling review
Evidence
Anthropic API Docs
Ephemeral processing
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17

Trust & Transparency

85

Good transparency with extended thinking (first for Haiku). Strong guardrails. Latest training cutoff (Feb 2025).

explainability
86
Methodology
Reasoning transparency evaluation
Evidence
Extended Thinking Feature
First Haiku with extended thinking
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
hallucination rate
83
Methodology
QA testing
Evidence
Factual Testing
Good factual accuracy
Date: 2025-10-15
Confidence: mediumLast verified: 2025-11-17
bias fairness
82
Methodology
Bias benchmarks
Evidence
Anthropic Responsible Scaling
Regular bias testing
Date: 2025-10-15
Confidence: mediumLast verified: 2025-11-17
uncertainty quantification
84
Methodology
Qualitative assessment
Evidence
Model Behavior
Good uncertainty expression
Date: 2025-10-15
Confidence: mediumLast verified: 2025-11-17
model card quality
89
Methodology
Documentation review
Evidence
Anthropic Documentation
Comprehensive documentation
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
training data transparency
78
Methodology
Public disclosure review
Evidence
Anthropic Statements
General description, cutoff February 2025
Date: 2025-10-15
Confidence: mediumLast verified: 2025-11-17
guardrails
91
Methodology
Safety mechanism analysis
Evidence
Constitutional AI
Constitutional AI guardrails
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17

Operational Excellence

93

Excellent for high-volume production. Budget pricing enables multi-agent architectures. Fast deployment.

api design quality
93
Methodology
API design review
Evidence
Anthropic API
RESTful API, claude-haiku-4-5 model ID
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
sdk quality
92
Methodology
SDK review
Evidence
Anthropic SDKs
Python, TypeScript SDKs
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
versioning policy
89
Methodology
Policy review
Evidence
Anthropic Versioning
6-month deprecation
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
monitoring observability
88
Methodology
Monitoring tools review
Evidence
Anthropic Console
Usage dashboard
Date: 2025-10-15
Confidence: mediumLast verified: 2025-11-17
support quality
90
Methodology
Support assessment
Evidence
Anthropic Support
Email, Discord, docs
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
ecosystem maturity
91
Methodology
Ecosystem analysis
Evidence
Multi-Agent Opportunity
Perfect for multi-agent systems
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17
license terms
92
Methodology
License review
Evidence
Anthropic Terms
Clear commercial terms
Date: 2025-10-15
Confidence: highLast verified: 2025-11-17

✨ Strengths

  • Best coding performance for price: 73.3% SWE-bench beats Sonnet 4
  • 4-5x faster than Sonnet 4.5 (~0.4s p50 latency)
  • Budget pricing: $1/$5 per 1M tokens (1/3 cost of Sonnet 4)
  • First Haiku with extended thinking, computer use, context awareness
  • HIPAA eligible with ephemeral data handling
  • 200K context, 64K output (more than Opus 4)
  • Latest training cutoff: February 2025

⚠️ Limitations

  • ASL-2 security (less restrictive than ASL-3 Opus/Sonnet models)
  • Slightly lower reasoning than Opus 4 for complex tasks
  • Training cutoff February 2025
  • New model with less battle-testing than predecessors

📊 Metadata

pricing:
input: $1.00 per 1M tokens
output: $5.00 per 1M tokens
notes: Best value in flagship class. Batch API 50% discount ($1/$2.50). Prompt caching up to 90% savings.
last verified: 2025-11-17
context window: 200000
max output tokens: 64000
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
capabilities:
0: extended-thinking
1: computer-use
2: context-awareness
api endpoint: https://api.anthropic.com/v1/messages
model id: claude-haiku-4-5
open source: false
architecture: Transformer-based with Constitutional AI and extended thinking
parameters: Not disclosed
training cutoff: February 2025
safety level: ASL-2

Use Case Ratings

code generation

96

World's best coding model for the price. 73.3% SWE-bench beats even Sonnet 4. Perfect for high-volume coding.

customer support

93

Exceptional for customer support. Flagship performance at $1/$5. 0.4s latency perfect for chat.

content creation

87

Strong content creation at budget pricing. Fast generation (4-5x faster than Sonnet 4.5).

data analysis

85

Good analytical capabilities with extended thinking. Great value for cost.

research assistant

89

Excellent for research. 200K context, extended thinking, fast, budget pricing.

legal compliance

88

HIPAA eligible with strong privacy at budget pricing. Good for legal document processing.

healthcare

87

HIPAA eligible. Budget pricing enables high-volume clinical documentation.

financial analysis

84

Good for standard financial analysis. Extended thinking helps with modeling.

education

90

Exceptional for education. Fast, affordable, strong explanations. Perfect for high-volume use.

creative writing

86

Strong creative writing. Fast generation good for drafting. Budget pricing for iteration.