Latest news with #ClaudeOpus4.1
Business Insider
20 hours ago
- Business
- Business Insider
Amazon-Backed (AMZN) Anthropic Just Announced a Big Upgrade
Amazon-backed (AMZN) Anthropic is making a big upgrade to its Claude Sonnet 4 AI model by increasing the context window for enterprise API customers to one million tokens. For context, that is enough to handle about 750,000 words and 75,000 lines of code. This is a major jump from the previous 200,000 token limit and more than double OpenAI's GPT-5, which offers 400,000 tokens. The new long-context feature will also be available through Anthropic's cloud partners, including Amazon's Bedrock and Google (GOOGL) Cloud's Vertex AI. Elevate Your Investing Strategy: Take advantage of TipRanks Premium at 50% off! Unlock powerful investing tools, advanced data, and expert analyst insights to help you invest with confidence. This comes as OpenAI's new GPT-5 model offers lower pricing and high coding performance. Nevertheless, Anthropic's product lead, Brad Abrams, says that he is pleased with the firm's API growth and expects the longer context to bring 'a lot of benefit' to coding platforms. Interestingly, unlike OpenAI, which earns most of its revenue from ChatGPT subscriptions, Anthropic focuses on selling AI through APIs, which makes developer-focused platforms critical to its business. The company also recently updated its largest model, Claude Opus 4.1, to improve its coding capabilities. It is worth noting that having a larger context window can make AI far better at tasks like software engineering, where seeing the entire project leads to more accurate results. Abrams said that it also improves Claude's ability to work on 'agentic' coding tasks, which are complex problems that require the AI to keep track of its steps over minutes or hours. In addition, for API users sending prompts over 200,000 tokens, costs will rise to $6 per million input tokens and $22.50 per million output tokens, up from $3 and $15, respectively. What Is the Price Target for AMZN Stock? Turning to Wall Street, analysts have a Strong Buy consensus rating on Amazon stock based on 43 Buys and one Hold assigned in the past three months. Furthermore, the average AMZN stock price target of $264.40 per share implies 19.1% upside potential from current levels.
Geeky Gadgets
4 days ago
- Business
- Geeky Gadgets
ChatGPT 5 vs Claude Opus 4.1 AI Coding Performance Compared
What if the future of coding wasn't about learning a language, but choosing the right AI? With the rise of advanced AI coding assistants, the debate over which model reigns supreme has never been more intense. On one side, we have ChatGPT 5, celebrated for its affordability and versatility, making it a favorite among beginners and creative coders. On the other, Claude Opus 4.1 stands as the go-to for professionals who demand precision and speed. These two powerhouses promise to transform how we approach coding, but which one truly delivers? This report dives deep into their performance, revealing surprising contrasts that could redefine your workflow. In the following comparison, Leonardo Grigorio uncovers how these models stack up across critical dimensions like code quality, usability, and performance. Whether you're a seasoned developer seeking production-ready results or a newcomer exploring the world of coding, this analysis will help you identify the tool that aligns with your needs. But the choice isn't as simple as 'better' or 'worse'—it's about understanding which model fits your unique goals. As we unpack their strengths and trade-offs, you might find that the best AI for you isn't the one you expected. GPT-5 vs Claude 4.1 Pricing: Balancing Affordability and Value For users with budget constraints, GPT-5 emerges as a significantly more cost-effective option. Its input costs are approximately 12 times lower, and its output costs are 7.5 times lower compared to Claude Opus 4.1. This affordability makes GPT-5 particularly appealing for users who need to experiment extensively without worrying about escalating expenses. On the other hand, Claude Opus 4.1 justifies its higher price by delivering polished, professional-grade results. For developers working on high-stakes or time-sensitive projects, the premium cost may be a worthwhile investment. The choice ultimately depends on whether you prioritize affordability or the assurance of high-quality outputs. Code Quality: Iterative Flexibility vs. Professional Precision The two models differ significantly in their approach to code quality, catering to distinct user needs: Claude Opus 4.1: Known for generating production-ready code, it excels in handling complex tasks such as building web applications, games, or landing pages. Its outputs are precise and polished, making it an excellent choice for experienced developers who require minimal revisions. Known for generating production-ready code, it excels in handling complex tasks such as building web applications, games, or landing pages. Its outputs are precise and polished, making it an excellent choice for experienced developers who require minimal revisions. GPT-5: Adopts a more verbose and forgiving approach, allowing users to refine their code through multiple iterations. This flexibility is particularly beneficial for beginners or those engaging in creative coding projects where trial and error is part of the process. If you value precision and minimal revisions, Claude Opus 4.1 is the superior option. However, for users who prefer a tool that accommodates iterative learning and experimentation, GPT-5 offers the adaptability needed to refine and improve code over time. OpenAI ChatGPT 5 vs Claude Opus 4.1 Watch this video on YouTube. Enhance your knowledge on AI coding by exploring a selection of articles and guides on the subject. Performance Metrics: Speed vs. Versatility Performance benchmarks reveal distinct strengths for each model, making them suitable for different types of projects: GPT-5: Excels in reasoning and general-purpose tasks, offering versatility across a wide range of coding challenges. Its ability to adapt to various scenarios makes it a reliable choice for users seeking a flexible tool. Excels in reasoning and general-purpose tasks, offering versatility across a wide range of coding challenges. Its ability to adapt to various scenarios makes it a reliable choice for users seeking a flexible tool. Claude Opus 4.1: Delivers faster real-time coding with lower latency and higher throughput. This makes it particularly effective for projects requiring quick turnarounds or immediate results. Your decision should be guided by whether you prioritize broad functionality and adaptability or speed and efficiency in your coding tasks. Context Window Management: Capacity vs. Efficiency The ability to manage context is a critical factor for complex coding projects, and both models take different approaches to this challenge: GPT-5: Features a larger context window, allowing users to input and process more extensive information. This capability is especially useful for projects requiring detailed instructions or handling large datasets. Features a larger context window, allowing users to input and process more extensive information. This capability is especially useful for projects requiring detailed instructions or handling large datasets. Claude Opus 4.1: Demonstrates superior efficiency in using its context window, effectively remembering and applying prior prompts. This ensures consistent and precise outputs, even when working with limited input sizes. For projects that demand handling large amounts of data or detailed instructions, GPT-5's larger context window is advantageous. Conversely, Claude Opus 4.1's efficient context management makes it a better fit for users who prioritize precision and consistency. User Experience: Beginner-Friendly vs. Expert-Oriented The user experience offered by each model varies based on the technical expertise of its target audience: GPT-5: Designed with non-technical users in mind, it provides a forgiving interface that supports iterative learning. Its verbosity and flexibility make it an excellent starting point for beginners or hobbyists exploring coding for the first time. Designed with non-technical users in mind, it provides a forgiving interface that supports iterative learning. Its verbosity and flexibility make it an excellent starting point for beginners or hobbyists exploring coding for the first time. Claude Opus 4.1: Tailored for experienced developers, it excels at handling precise prompts and delivering professional-grade results. This makes it a preferred choice for users with clear objectives and advanced technical skills. If you're new to coding, GPT-5's user-friendly design offers a smoother learning curve. For advanced users, Claude Opus 4.1 provides the precision and reliability needed for complex, high-stakes projects. Empirical Observations: Forgiveness vs. Accuracy In practical applications, the models exhibit contrasting strengths that cater to different user preferences: GPT-5: More forgiving of errors, it allows users to refine their code over multiple attempts. This makes it ideal for experimentation, learning, and creative projects where flexibility is key. More forgiving of errors, it allows users to refine their code over multiple attempts. This makes it ideal for experimentation, learning, and creative projects where flexibility is key. Claude Opus 4.1: Excels in one-shot prompt handling, delivering accurate results on the first try. This capability is particularly valuable for time-sensitive or high-stakes projects where precision is critical. Your choice depends on whether you prioritize flexibility for iterative learning or accuracy for immediate results. Use Cases: Matching Tools to Your Needs The suitability of each model depends on your specific goals, expertise, and project requirements: GPT-5: Best suited for non-technical users, hobbyists, or those exploring creative coding projects. Its affordability and forgiving nature make it an excellent entry point for beginners. Best suited for non-technical users, hobbyists, or those exploring creative coding projects. Its affordability and forgiving nature make it an excellent entry point for beginners. Claude Opus 4.1: Ideal for developers with technical expertise and well-defined objectives. Its superior code quality and efficiency cater to professional-grade outputs, making it a reliable choice for experienced users. By understanding your project requirements and technical proficiency, you can determine which tool aligns best with your needs and goals. Both models offer unique strengths, making sure that there is an option for every type of user. Media Credit: Leonardo Grigorio | AI Automation Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Economic Times
4 days ago
- Business
- Economic Times
First came the AI talent war. Is a price war next?
OpenAI has unveiled its powerful new model, GPT-5, just days after releasing two open-source models for public use. OpenAI CEO Sam Altman called it the 'best model in the world,' but whether it truly is, we're yet to see. However, one area where it is definitely making waves is pricing. As Sam Altman put it, 'Very happy with the pricing we are able to deliver!' he posted on X. GPT-5's API is set at $1.25 per one million input tokens and $10 for one million output tokens, with a small extra cost of $0.125 for cached inputs. This matches the pricing of Google's Gemini 2.5 Pro, which is popular with developers, especially for coding. However, Google charges more once usage crosses 200,000 prompts, making it costlier for heavy comparison, OpenAI is seriously undercutting Anthropic's Claude Opus 4.1, which starts at $15 per one million input tokens and a steep $75 for output. Claude does offer discounts for prompt caching and batch requests, but the base cost is way GPT-5 is also priced lower than GPT-4o. Matt Shumer, CEO of OthersideAI, posted on X, 'It is cheaper than GPT-4o, which is fantastic. Intelligence per dollar continues to increase.'Whether rivals will now cut their prices in response remains to be seen. But for users, a price war would be a blessing. Still, the AI race is expensive. OpenAI has a $30 billion per year cloud deal with Oracle, triple its current annual recurring revenue. Meta is planning to spend up to $72 billion on AI in 2025, while Alphabet is setting aside $85 billion for AI-linked capital expenses next year. Given the size of investments, it's unlikely that huge undercuts would happen. So, while OpenAI's pricing may seem like a miracle and great news for developers, it may be a little early to have high hopes. At least until more companies follow suit.
Time of India
4 days ago
- Business
- Time of India
First came the AI talent war. Is a price war next?
OpenAI's GPT-5 is priced the same as Google's Gemini 2.5 Pro and lower than GPT-4o. Interestingly, GPT-5 is priced far lower than Anthropic's Claude Opus 4.1. Tired of too many ads? Remove Ads Tired of too many ads? Remove Ads OpenAI has unveiled its powerful new model, GPT-5, just days after releasing two open-source models for public CEO Sam Altman called it the 'best model in the world,' but whether it truly is, we're yet to see. However, one area where it is definitely making waves is pricing. As Sam Altman put it, 'Very happy with the pricing we are able to deliver!' he posted on API is set at $1.25 per one million input tokens and $10 for one million output tokens, with a small extra cost of $0.125 for cached inputs. This matches the pricing of Google's Gemini 2.5 Pro, which is popular with developers, especially for Google charges more once usage crosses 200,000 prompts, making it costlier for heavy comparison, OpenAI is seriously undercutting Anthropic's Claude Opus 4.1, which starts at $15 per one million input tokens and a steep $75 for output. Claude does offer discounts for prompt caching and batch requests, but the base cost is way GPT-5 is also priced lower than GPT-4o. Matt Shumer, CEO of OthersideAI, posted on X, 'It is cheaper than GPT-4o, which is fantastic. Intelligence per dollar continues to increase.'Whether rivals will now cut their prices in response remains to be seen. But for users, a price war would be a the AI race is expensive. OpenAI has a $30 billion per year cloud deal with Oracle , triple its current annual recurring revenue. Meta is planning to spend up to $72 billion on AI in 2025, while Alphabet is setting aside $85 billion for AI-linked capital expenses next the size of investments, it's unlikely that huge undercuts would happen. So, while OpenAI's pricing may seem like a miracle and great news for developers, it may be a little early to have high hopes. At least until more companies follow suit.
United News of India
5 days ago
- Business
- United News of India
OpenAI launches GPT-5, creates battleground for Opus 4.1 and Grok-4
New Delhi, Aug 8 (UNI) OpenAI revealed GPT-5 the advanced AI model, making a new battleground of the search spectrum race with Claude Opus 4.1 and xAI's Grok-4. GPT-5 comprises advanced reasoning functions compared to its predecessors. Users can get more accurate responses and seamless integration across multiple modalities. Moreover, this version can also interpret images, hold voice conversations, and give real-time responses with more emotional intelligence. The much-anticipated launch of OpenAI points towards the broader ambitions of the AI giant to dominate the AI search spectrum. GPT-5 will outpace the popular Claude Opus 4.1 in features, including image and video generation, while Opus 4.1 has an edge in handling coding benchmarks and large context windows. Moreover, GPT-5 is also expected to compete with Grok-4 in the areas of reasoning, speed, and multimodal functionality. Currently, Grok-4, which is the flagship model of xAI, is doing very well in logical analysis, code manipulation, and natural language generation. Some search industry experts pointed out that GPT-5 is expected to lead the race. This tool is tested on a recent benchmark test, real-time analysis, and multiple user feedback. GPT-5 appears as a well-rounded option for both professional and personal use due to the recent integrations. UNI SAS GNK
