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Description
Claude Opus 5.5 is a frontier AI model from Anthropic built for coding, research, business analysis, computer use, and complex agentic workflows. The model is particularly suited to long-running software engineering tasks such as codebase migrations, audits, debugging, optimization, and large-scale refactoring. Anthropic also positions Opus 5.5 for professional knowledge work including financial analysis, legal workflows, research reports, spreadsheets, presentations, and business automation. Compared with Claude Opus 5, the model is designed to use fewer tokens, generate responses more quickly, and reduce typical workload costs. Its communication style has also been refined to make outputs clearer, easier to scan, and more consistent with user-defined writing requirements. Opus 5.5 includes stronger defenses against prompt injection and is less likely to take irreversible or out-of-bounds actions during autonomous tasks. Enterprise safety features include action classification, an auditable open-source sandbox, code review capabilities, preserved thinking protections, and configurable safeguards for sensitive domains. The model supports zero data retention and is available with additional verification programs for vetted life sciences and cybersecurity organizations. Claude Opus 5.5 is accessible through Anthropic’s applications and API as well as AWS, Google Cloud, and Microsoft Azure.
Description
ESMFold demonstrates how artificial intelligence can equip us with innovative instruments to explore the natural world, akin to the way the microscope revolutionized our perception by allowing us to observe the minute details of life. Through AI, we can gain a fresh perspective on the vast array of biological diversity, enhancing our comprehension of life sciences. A significant portion of AI research has been dedicated to enabling machines to interpret the world in a manner reminiscent of human understanding. However, the complex language of proteins remains largely inaccessible to humans and has proven challenging for even the most advanced computational systems. Nevertheless, AI holds the promise of unlocking this intricate language, facilitating our grasp of biological processes. Exploring AI within the realm of biology not only enriches our understanding of life sciences but also sheds light on the broader implications of artificial intelligence itself. Our research highlights the interconnectedness of various fields: the large language models powering advancements in machine translation, natural language processing, speech recognition, and image synthesis also possess the capability to assimilate profound insights about biological systems. This cross-disciplinary approach could pave the way for unprecedented discoveries in both AI and biology.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amp
Yes
Augment Code
Yes
Bash
Yes
CSS
Yes
Claude
Yes
Claude Desktop
Yes
Claude Science
Yes
Gemini Enterprise Agent Platform
Yes
GitHub Copilot
Yes
JavaScript
Yes
Integrations
Amp
No
Augment Code
No
Bash
No
CSS
No
Claude
No
Claude Desktop
No
Claude Science
No
Gemini Enterprise Agent Platform
No
GitHub Copilot
No
JavaScript
No
Pricing Details
$4 per 1M tokens (input)
$4 per million input tokens and $20 per million output tokens.
Cache reads, which account for most costs in agentic and coding workloads, are priced at just $0.20 per million tokens which is 60% cheaper than Opus 5. Opus 5.5 also delivers output over 30% faster than its predecessor.
Cache reads, which account for most costs in agentic and coding workloads, are priced at just $0.20 per million tokens which is 60% cheaper than Opus 5. Opus 5.5 also delivers output over 30% faster than its predecessor.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Anthropic
Founded
2021
Country
United States
Website
claude.ai
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
github.com/facebookresearch/esm