All posts tagged: Opus

Opus 4.7 vs. Opus 4.6: Is the 35% Token Increase Worth It?

Opus 4.7 vs. Opus 4.6: Is the 35% Token Increase Worth It?

Published by skeptic

Opus 4.7 brings a host of advancements to the table, from refined coding accuracy to improved visual processing and a more intuitive user interface. Better Stack highlights how these upgrades enhance both functionality and precision, making the model a strong contender for diverse applications. However, one notable drawback is the increased token usage, up to 35% higher in certain configurations, particularly at the default “extra high” effort level. This change could impact users managing large-scale projects or operating within tight budgets, requiring careful adjustments to settings to balance costs and performance. Dive into this feature to explore how Opus 4.7’s enhanced instruction-following capabilities can improve alignment with user intent, why its upgraded multimodal processing is a fantastic option for combining text and visuals and how its memory improvements streamline workflows for long-term projects. You’ll also gain insight into practical strategies for managing token consumption and configuring the model to suit your specific needs. By understanding these nuances, you can make the most of Opus 4.7’s strengths while navigating its trade-offs effectively. Key Performance Enhancements TL;DR …

How Claude Code and Opus 4.7 Create the Ultimate Coding Agent

How Claude Code and Opus 4.7 Create the Ultimate Coding Agent

Published by skeptic

Anthropic’s Opus 4.7 and Claude Code combine to create a sophisticated coding and automation framework, as explored by David Ondrej. This pairing uses Opus 4.7’s enhanced capabilities, such as its redesigned tokenizer, which improves contextual understanding and reasoning efficiency. For example, the model’s ability to autonomously manage multi-step workflows makes it particularly effective for complex tasks like debugging intricate codebases or analyzing financial data. However, these advancements come with trade-offs, including increased token usage that may impact cost efficiency for large-scale projects. In this overview, you’ll gain insight into how Opus 4.7’s features, such as its improved visual reasoning and command-based customization options, can address specific challenges in software development and automation. Explore its real-world applications, from creating scalable web applications to streamlining operations in creative industries. Additionally, understand the limitations, including verbosity and cost considerations, to help you evaluate whether this system aligns with your technical and organizational needs. New Performance Enhancements TL;DR Key Takeaways : Opus 4.7 introduces significant advancements in coding, automation and complex reasoning, outperforming competitors like GPT-5.4 and Gemini 3.1 …

Anthropic Cloud Opus 4.7: Should You Upgrade from 4.6?

Anthropic Cloud Opus 4.7: Should You Upgrade from 4.6?

Published by skeptic

Anthropic’s latest release, Cloud Opus 4.7, introduces significant updates aimed at improving coding, multimodal understanding and instruction-following. While these advancements enhance performance in areas like extended-sequence programming and high-resolution image analysis, they also come with notable trade-offs. For instance, the updated tokenizer increases token usage by 1 to 1.35 times, which could impact workflows reliant on resource efficiency. Prompt Engineering explores these changes in depth, breaking down how they might affect both new and experienced users deciding whether to upgrade from Opus 4.6. Discover how Opus 4.7’s stricter instruction-following behavior could streamline precision-driven tasks while requiring adjustments to established workflows. Gain insight into the new Task Budgeting feature, designed to improve token allocation for longer projects and explore the implications of the model’s enhanced document reasoning capabilities. This explainer provides a balanced look at the benefits and challenges of upgrading, helping you assess whether Opus 4.7 aligns with your specific needs. Claude Opus 4.7 Performance Enhancements TL;DR Key Takeaways : Opus 4.7 introduces enhanced coding capabilities, refined multimodal understanding and improved document reasoning, making it …

Anthropic releases Claude Opus 4.7: How to try it, benchmarks, safety

Anthropic releases Claude Opus 4.7: How to try it, benchmarks, safety

Published by skeptic

Anthropic has been shipping products and making news at a blistering pace in 2026, and on Thursday, the AI company announced the launch of Claude Opus 4.7. Claude Opus 4.7 is Anthropic’s most intelligent model available to the general public. Notably, Anthropic said in a press release that Opus 4.7 is not as powerful as Claude Mythos, which Anthropic deemed too dangerous for public release. Claude Opus is a family of hybrid reasoning models capable of multi-step reasoning and advanced coding. Until the announcement of Claude Mythos on April 7, Claude Opus was considered Anthropic’s most advanced series of AI models. Don’t miss out on our latest stories: Add Mashable as a trusted news source in Google. How to try Claude Opus 4.7 Claude Opus 4.7 is available now via Claude AI, the Claude API, and Anthropic partners such as Microsoft Foundry. The new model is priced the same as Claude Opus 4.6. SEE ALSO: Anthropic makes the case for anthropomorphizing AI in ‘unsettling’ research paper However, Anthropic noted that because “Opus 4.7 thinks more at …

Anthropic releases Claude Opus 4.7, narrowly retaking lead for most powerful generally available LLM

Anthropic releases Claude Opus 4.7, narrowly retaking lead for most powerful generally available LLM

Published by skeptic

Anthropic is publicly releasing its most powerful large language model yet, Claude Opus 4.7, today — as it continues to keep an even more powerful successor, Mythos, restricted to a small number of external enterprise partners for cybersecurity testing and patching vulnerabilities in the software said enterprises use (which Mythos exposed rapidly). The big headlines are that Opus 4.7 exceeds its most direct rivals — OpenAI’s GPT-5.4, released in early March 2026, scarcely more than a month ago; and Google’s latest flagship model Gemini 3.1 Pro from February — on key benchmarks including agentic coding, scaled tool-use, agentic computer use, and financial analysis. But also, it’s notable how tight the race is getting: on directly comparable benchmarks, Opus 4.7 only leads GPT-5.4 by 7-4. Annotated Claude Opus 4.7 benchmark chart. Credit: Anthropic edited by VentureBeat using Google Gemini 3.1 Pro Image It currently leads the market on the GDPVal-AA knowledge work evaluation with an Elo score of 1753, surpassing both GPT-5.4 (1674) and Gemini 3.1 Pro (1314). GPDVal-AA knowledge work benchmark comparison chart of Opus …

AI joins the 8-hour work day as GLM ships 5.1 open source LLM, beating Opus 4.6 and GPT 5.4 on SWE-Bench Pro

AI joins the 8-hour work day as GLM ships 5.1 open source LLM, beating Opus 4.6 and GPT 5.4 on SWE-Bench Pro

Published by skeptic

Is China picking back up the open source AI baton? Z.ai, also known as Zhupai AI, a Chinese AI startup best known for its powerful, open source GLM family of models, has unveiled GLM-5.1 today under a permissive MIT License, allowing for enterprises to download, customize and use it for commercial purposes. They can do so on Hugging Face. This follows its release of GLM-5 Turbo, a faster version, under only proprietary license last month. The new GLM-5.1 is designed to work autonomously for up to eight hours on a single task, marking a definitive shift from vibe coding to agentic engineering. The release represents a pivotal moment in the evolution of artificial intelligence. While competitors have focused on increasing reasoning tokens for better logic, Z.ai is optimizing for productive horizons. GLM-5.1 is a 754-billion parameter Mixture-of-Experts model engineered to maintain goal alignment over extended execution traces that span thousands of tool calls. “agents could do about 20 steps by the end of last year,” wrote z.ai leader Lou on X. “glm-5.1 can do 1,700 …

Opus Dei: Spain under influence of ultra-conservative Catholic movement – Reporters

Opus Dei: Spain under influence of ultra-conservative Catholic movement – Reporters

Published by Sam Flores

To display this content from YouTube, you must enable advertisement tracking and audience measurement. Accept Manage my choices One of your browser extensions seems to be blocking the video player from loading. To watch this content, you may need to disable it on this site. Try again REPORTERS © FRANCE 24 Issued on: 27/03/2026 – 13:27 12:31 min From the show Reading time 1 min The ultra-conservative Catholic organisation Opus Dei was founded a century ago in Spain. Today, it’s an international movement with around 90,000 members. In its home country, it has managed to infiltrate all spheres of modern society, from schools to hospitals. Despite serious allegations against it, Opus Dei remains a powerful force in Spain. FRANCE 24’s Maude Petit-Jové, Mathilde Lopinski, Emile Roger and Sarah Morris report. Source link

MiniMax M2.7 AI Model Tested: Beats Opus 4.6, 50x Cheaper

MiniMax M2.7 AI Model Tested: Beats Opus 4.6, 50x Cheaper

Published by skeptic

The MiniMax M2.7 AI model has undergone extensive testing and emerged as a standout option in the competitive AI landscape. According to World of AI, this model not only surpasses the performance of Opus 4.6 in industry benchmarks like Swaybench Pro but also offers a remarkable cost advantage, being up to 50 times cheaper. Its ability to autonomously improve through over 100 self-training cycles enhances its precision and adaptability, making it a practical choice for handling complex workflows across diverse industries. Explore how the MiniMax M2.7 delivers value through its unique combination of affordability and advanced capabilities. You’ll gain insight into its performance metrics, such as its 57% score on Terminal Bench 2 and learn how it supports tasks like financial modeling, machine learning pipeline optimization and creative development. This explainer also highlights its cost structure and integration options, providing a clear understanding of how this model can fit into your projects and workflows effectively. Key Features of MiniMax M2.7 AI TL;DR Key Takeaways : Autonomous Self-Improvement: The MiniMax M2.7 enhances its capabilities by 30% …

Resident Evil at 30: how Capcom’s horror opus has survived and thrived | Games

Resident Evil at 30: how Capcom’s horror opus has survived and thrived | Games

Published by Sam Flores

To many of us playing and writing about video games in the 1990s, Resident Evil seemed to come out of nowhere. The emerging PlayStation and Saturn consoles were all about slick, bright arcade conversions – the shiny thrills of Daytona and Tekken – and Japanese publisher Capcom was in a rut of coin-op conversions and endless sequels to Street Fighter and Mega Man. Scary games were rare at the time and mostly confined to the PC. So when the news of a horror title named Biohazard (the Japanese name for the series) started to emerge in 1995, it caught the attention of games journalists as it seemed radically out of step with prevailing trends. Games were about power, but as early demos quickly revealed, Resident Evil was about vulnerability. Thirty years later, it’s still here. The series has sold more than 180m copies worldwide, with 11 core titles and dozens of spinoffs and remakes, as well as film, television and anime tie-ins. Its characters and monsters are icons, its tropes now embedded in game design …

Cursor’s new coding model Composer 2 is here: It beats Claude Opus 4.6 but still trails GPT-5.4

Cursor’s new coding model Composer 2 is here: It beats Claude Opus 4.6 but still trails GPT-5.4

Published by skeptic

Cursor, a San Francisco AI coding platform from startup Anysphere valued at $29.3 billion, has launched Composer 2, a new in-house coding model now available inside its agentic AI coding environment, and it offers drastically improved benchmarks from its prior in-house model. It’s also launching and making Composer 2 Fast, a higher-priced but faster variant, the default experience for users. Here’s the cost breakdown: That’s a big drop from Cursor’s predecessor in-house model, Composer 1.5, from February, which cost $3.50 per million input tokens and $17.50 per million output tokens; Composer 2 is about 86% cheaper on both counts. Composer 2 Fast is also roughly 57% cheaper than Composer 1.5. There’s also discounts for “cache-read pricing,” that is, sending some of the same tokens in a prompt to the model again, of $0.20 per million tokens for Composer 2 and $0.35 per million for Composer 2 Fast, versus $0.35 per million for Composer 1.5. It also matters that this appears to be a Cursor-native release, not a broadly distributed standalone model. In the company’s announcement …