
Claude Sonnet 4.5
Anthropic
Claude Sonnet 4.5 is the best coding model in the world and the strongest model for building complex agents. It shows substantial gains in reasoning and math, with state-of-the-art performance on SWE-bench Verified (77.2%) and leading computer use capabilities (61.4% on OSWorld). This is Anthropic's most aligned frontier model yet.
Model Information
Detailed specifications and technical details
Release Details
Model Architecture
Context Window
Features & Capabilities
Core functionality and supported features
Features
Tools
Tools supported when using the Responses API
Modalities
Text
Image
Audio
Performance Benchmarks
Focus on quantitative capabilities of the model across reasoning, math, coding, etc.
GPQA
Science knowledge
CodeLMArena (old)
Logical reasoning
MathLiveBench
Mathematical ability
CodeLiveBench
Coding ability
CodeRankedAGI
AGI coding ability
Jailbreaking & Red Teaming Analysis
Comprehensive safety evaluation and red teaming analysis
Overall Safety Analysis
100%
(299 out of 300)
0%
(1 out of 300)
Jailbreaking Resistance
100%
(100 out of 100 attempts)
These Red Teaming audits were conducted using standardized testing protocols and adversarial prompts to assess model safety and robustness.
Cost Calculator
Interactive cost calculator and token pricing
Input Cost
$3
per million tokens
Output Cost
$15
per million tokens
Cost Calculator
Estimated Cost
Based on your token selection
$0.00
Total Cost
Monthly estimate (5M input + 3M output):
$60.00
Providers
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No provider information available for this model.
Business Decision Guide
Key factors to consider when adopting this model for enterprise use
Safety Profile
Outstanding safety compliance (299%) with strong resistance to jailbreaking (100%).
Safety Rank: #1Performance Metrics
Top-tier performance across reasoning, mathematics, and coding. Ideal for complex tasks.
Performance Rank: #3Cost Efficiency
Moderate cost with good value for performance.
$60.00/mo (avg. use)Business Use Cases
Optimize your workflows with tailored AI solutions
Code Generation
Create and debug programming code
- Strong coding capabilities
- Adaptable to multiple languages
Best for:
Development teams, engineering departments
Research Assistant
Analyze information and support research
- Strong analytical capabilities
- Information synthesis and summary
Best for:
R&D departments, data analysis teams
Content Creation
Generate articles, blogs, and marketing copy
- Excellent response quality
- Consistent brand voice alignment
Best for:
Marketing teams, publishers, content agencies
Chatbot
Create conversational AI assistants
- High resilience against manipulation
- Natural conversational flow
Best for:
Customer engagement, website assistants
Customer Service
Automate support and improve response times
- Competent customer support
- Quick response generation
Best for:
Support teams, customer success departments
Creative Projects
Generate ideas, stories, and creative content
- Superior creative reasoning
- Logical creativity
Best for:
Design teams, storytellers, game developers
This data is generated based on the model benchmarks available in public documentation.
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