San Francisco, CA
Anthropic
The safety-first AI lab that made alignment research a precondition for building. Claude models are known for disciplined instruction following, precise tool use, and a 200K context window that handles entire codebases in one pass.
Models
Claude Opus 4.8
1M ctxAnthropic's heavyweight for hard reasoning and agentic work.
Opus is the Claude you reach for when output quality buys back its premium - long agent runs, hard reasoning, work where a single dropped step costs more than the token bill.
$5.00 in · $25.00 out / 1M tokens
Claude Sonnet 4.6
1M ctxThe pragmatic default - Claude quality without Opus pricing.
Sonnet is the model most teams should default to.
$3.00 in · $15.00 out / 1M tokens
Claude Haiku 4.5
200K ctxFast, cheap, surprisingly capable for high-volume jobs.
Haiku 4.5 is the most underrated model in the Claude lineup.
$1.00 in · $5.00 out / 1M tokens
Recent news
Articles mentioning Anthropic models
Comparing AI Tools: A Developer's Perspective on Codex and Claude
A developer shared their experiences using Codex and Claude for coding tasks this week. They noticed that Codex generated simpler, cleaner Ruby code with fewer comments compared to Claude. Codex also felt more technical, like a precise tool, while Claude seemed more collaborative, acting almost like a colleague. The developer found Codex faster but noted it didn't save time overall due to the need for thorough testing and reviews. Codex excelled in creating efficient solutions but sometimes made mistakes, such as complex branching issues. In contrast, Claude was better at understanding context and handling tasks the way the developer preferred, especially when working with Jira. Codex's CLI approach for MCPs was praised for its straightforward authentication process. The developer plans to test both tools further, focusing on specific, smaller projects with Codex to leverage its speed. They'll also analyze if Codex's simpler output truly streamlines their workflow or if it sacrifices necessary complexity.
Hacker News2w ago
AI Enhances Security Operations Centers with Wazuh Innovations
Wazuh has introduced AI-powered tools to boost SOC efficiency. The Wazuh AI Analyst, accessible on the Wazuh Cloud and through third-party integrations, automatically processes security data using Amazon Bedrock and Anthropic’s Claude. It provides actionable insights like endpoint protection status, alert volume, and posture summaries via email reports. This tool reduces analyst fatigue by streamlining repetitive tasks and accelerating decision-making. With cyber threats growing more complex, Wazuh's AI solutions help SOCs maintain situational awareness across diverse environments. As AI adoption continues to evolve, expect further advancements in threat detection and response capabilities.
The Hacker News2w ago
FTC Investigates AI Companies Over Alleged Destruction of Books
The Federal Trade Commission is being urged to investigate major AI companies for purchasing, scanning, and destroying books used to train their large language models. Advocacy groups claim this "hoard-and-destroy" practice is anticompetitive and harms public access to essential source material. Destroying rare or last copies of works could breach Section 5 of the FTC Act by limiting fair competition. The letter highlights a lawsuit from August 2024 against Anthropic, which was dismissed in 2025, but Amazon has also been reported engaging in similar practices. The groups are calling for an FTC probe to determine the scale and impact of these actions. This could set a precedent for regulating AI development to ensure fair access to knowledge resources.
CBS News2w ago
Palo Alto Networks Enhances AI-Driven Cybersecurity with Anthropic’s Claude Mythos 5
Palo Alto Networks Unit 42 has expanded its Frontier AI Exposure Analysis to include Anthropic's Claude Mythos 5, a cutting-edge AI model. This integration allows organizations to detect potential security vulnerabilities and assess if they can be exploited before attackers act. By combining advanced AI with human expertise, the service identifies attack paths across applications, cloud infrastructure, and more, helping prioritize fixes effectively. The move is significant because it addresses the growing threat of AI-powered attacks. While traditional scanners only flag issues, Unit 42's approach uses multiple models to validate real attack routes and recommend actionable defenses. This ensures security teams focus on the most critical risks, reducing exposure to sophisticated threats. Looking ahead, this advancement underscores the importance of leveraging AI to stay one step ahead of cyber adversaries. By continuously improving model capabilities and threat intelligence, Unit 42 aims to provide a proactive defense strategy for organizations worldwide.
Palo Alto Networks2w ago
AI Innovations Transform Healthcare, Finance, and Beyond
1. New AI Framework Predicts Market Loss After Cybersecurity Breaches: EventTime, an advanced AI framework, integrates long-term market context with event-specific data to predict financial impacts from breaches, offering a significant breakthrough in risk management. 2. AI Breakthrough Accelerates Discovery of Health Biomarkers from Wearables: The Biomarker Discovery Framework uses multiple agents to analyze wearable data and generate hypotheses, turning vast sensor information into meaningful medical insights. 3. AI Turbocharges Aircraft IFEC Diagnostics: Panasonic Avionics leverages AWS tools like Bedrock and SageMaker to slash diagnosis time for in-flight entertainment and connectivity issues, ensuring seamless passenger experiences. 4. OpenAI's GPT-5.6 Sol Drives Revenue Growth: With a 35% revenue surge, OpenAI overtakes Anthropic in business API spending, highlighting the demand for advanced AI tools and intensifying competition between tech giants. 5. AI Breakthrough Revolutionizes Alzheimer's Diagnosis: The DCP system uses Bayesian Learning on DTI data to track Alzheimer's progression continuously, providing more accurate and timely insights for treatment. 6. DeepSeek's V4-Flash-Vision-Exp Matches Top Agent Benchmark: This multimodal AI model combines text and image understanding, matching the performance of Opus 4.8, opening new possibilities in applications like image recognition. 7. AI Agents Evolve Through Dynamic Graphs: New research shows AI agents can self-evolve by modeling agent evolution as dynamic graph transformations, enhancing their ability to learn and adapt over time. 8. Waymo Develops Custom Chip for Robotaxis: Waymo's in-house chip reduces dependence on Nvidia, optimizing performance and costs while maintaining independence from external hardware suppliers. 9. Amazon's ADOP Streamlines Data Engineering: The Agentic Data Operations Platform automates data engineering tasks, allowing teams to focus on product development by integrating compliance directly into the process. 10. OpenAI's GPT-Image-2 Generates Images Without Backgrounds: This new feature simplifies image generation with transparent backgrounds through a single API parameter, eliminating the need for external tools.
NeuralPulse Daily2w ago
AI Tools Streamline Data Engineering for Teams
Amazon's Agentic Data Operations Platform (ADOP) is revolutionizing data engineering by automating tasks that once took weeks. The platform uses AI agents to handle everything from setting up new data sources to ensuring compliance, allowing engineers to focus on building products instead of repetitive tasks. Unlike traditional tools, ADOP integrates compliance directly into the development process, making it easier for teams to meet regulations. This innovation is particularly impactful for large enterprises, but smaller businesses are also benefiting. HoneyBook's MCP connector for Anthropic's Claude AI assistant is helping small businesses automate their operations, filling a gap in the market. By streamlining processes, these tools are not only saving time but also ensuring consistency across teams, which is crucial for scaling. As more companies adopt agentic AI, we can expect even greater efficiency and innovation in how data is managed and used. Future developments may include wider adoption of such platforms and further integration with existing systems, potentially transforming the way businesses handle data engineering entirely.
AWS ML Blog, AI News2w ago
OpenAI's GPT-5.6 Sol Boosts Revenue as It Overtakes Anthropic
OpenAI has reported a significant revenue surge, with its latest model GPT-5.6 Sol driving a 35% increase this quarter. Enterprise revenue alone is up by over 50%. For the first time since Anthropic surpassed OpenAI in quarterly sales, OpenAI now leads in business API spending. This shift highlights the growing demand for advanced AI tools and underscores the competitive landscape between these two major players. The success of GPT-5.6 Sol marks a turning point for OpenAI, which had previously seen Anthropic gain an edge in revenue. With this new model, OpenAI is not only regaining its market position but also setting a precedent for how quickly enterprises are adopting AI technologies. The rapid growth signals that businesses are increasingly relying on sophisticated AI solutions to enhance their operations. As the race between OpenAI and Anthropic continues, industry watchers will be closely monitoring which company can sustain this momentum. With GPT-5.6 Sol leading the charge, OpenAI's ability to innovate and scale will likely shape the future of AI adoption in enterprise settings.
The Decoder2w ago
Claude AI Now Watermarks All Its Creations
Claude, developed by Anthropic, has started embedding watermarks in all content it generates. This includes hidden marks in text and signed metadata in supported files like images. The company is complying with the EU AI Act's Code of Practice on transparency. The update affects everything Claude produces since August 2, 2026. Text gets a subtle watermark, while files get a signature. However, code remains tricky because its structure limits where watermarks can be placed. This move aims to increase accountability and traceability for AI-generated content. Developers and researchers should expect more tools to manage and verify these watermarks in the future.
Analytics Vidhya2w ago