Anthropic releases their OpenAI GPT-4 busting Claude AI 3 model
There is a battle to be top AI dog in the world and at the moment OpenAI's GPT-4 model is top dog, but Anthropic's Claude AI 3 is beating it in all the major benchmarks.
Key takeaways
- Anthropic, the Artificial Intelligence (AI) company started by several former OpenAI employees, says the new Claude 3 family of AI models performs as well as or better than leading models from Google and OpenAI.
- Unlike earlier versions, Claude 3 is also multi-modal, able to understand text and photo inputs.
- Anthropic says Claude 3 will answer more questions, understand longer instructions, and be more accurate.
Cite or link to this article
Griffin, M. (2024) 'Anthropic releases their OpenAI GPT-4 busting Claude AI 3 model', 311 Institute, 3 March. Available at: https://www.311institute.com/anthropic-releases-their-openai-gpt-4-busting-claude-ai-3-model/ (Accessed: 1 October 2026).
There is a battle to be the AI top dog and at the moment that crown belongs to OpenAI's GPT-4 AI model, but Anthropic's Claude 3 is beating it on major benchmarks. Anthropic, the Artificial Intelligence (AI) company started by several former OpenAI employees, says the new Claude 3 family of AI models performs as well as or better than leading models from Google and OpenAI. Unlike earlier versions, Claude 3 is also multi-modal, able to understand text and photo inputs.
Anthropic says Claude 3 will answer more questions, understand longer instructions, and be more accurate. Claude 3 can understand more context, meaning it can process more information. There’s Claude 3 Haiku, Claude 3 Sonnet, and Claude 3 Opus, with Opus being the largest and “most intelligent model.” Anthropic says Opus and Sonnet are now available on claude.ai and its API. Haiku will be released soon. All three models can be deployed on chatbots, auto-completion, and data extraction tasks.
Previous versions of Claude refused to answer some prompts that were harmless, which the company writes “suggests a lack of contextual understanding.” The new models are less likely to refuse to answer prompts that toe the line of its safety guardrails, similar to rumors about Meta’s plans for Llama 3 when it’s released.
Anthropic claims Claude 3 models can give near-instant results even while parsing dense material like a research paper. A blog post says Haiku, the smallest version of Claude 3, is “the fastest and most cost-effective model on the market,” able to read a dense research paper complete with charts and graphs “in less than three seconds.”
Anthropic says Opus outperformed most models in several benchmarking tests. It showed better graduate-level reasoning than OpenAI’s GPT-4, getting 50.4 percent in that test over GPT-4’s 35.7 percent. It also answered math questions, coded, and understood reasoning better.
The new models also significantly improve against the previous Claude 2.1 model. Sonnet, the middle ground model, was twice as fast as Claude 2 and Claude 2.1. “It excels in tasks demanding rapid responses, like knowledge retrieval or sales automation,” Anthropic said.
Anthropic trained the Claude 3 models on a mix of non-public internal and third-party datasets and publicly available data as of August 2023. The company says in a paper introducing the three models that these were trained using hardware from Amazon’s AWS and Google Cloud. Both companies invested in Anthropic, with Amazon putting $4 billion into the company. Claude 3 will be available on AWS’s model library Bedrock and in Google’s Vertex AI.
What this means for your organisation
Leadership changes quickly.
A new release can overtake the market leader within months. Betting everything on one provider is risky. Firms should keep the option to switch.
Fit the tool to the task.
Small, fast versions suit simple, high volume work, while large ones suit hard reasoning. Matching size to task controls cost. Leaders should not pay for the largest system when a smaller one will do.
Fewer refusals, more use.
Earlier versions refused harmless requests, which frustrated users. Better judgement on what to answer makes AI more useful at work. Safety and helpfulness must still be tested on your own cases.
Three questions for your next leadership meeting
- Could we switch AI providers quickly if a better one appeared?
- Are we using the right size of AI system for each task?
- How do we test AI tools on our own work before adopting them?
The trends and technologies behind this story
From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.
Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.
FAQ
Why does this matter?
There is a battle to be top AI dog in the world and at the moment OpenAI's GPT-4 model is top dog, but Anthropic's Claude AI 3 is beating it in all the major benchmarks.

About the author
Matthew Griffin Founder, President and Futurist, 311 Institute
Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."
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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder, President and Futurist of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.
An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity programme, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.
As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.
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Source: first published by the 311 Institute on 3 March 2024. Cite as: Griffin, M. (2024). Anthropic releases their OpenAI GPT-4 busting Claude AI 3 model. 311 Institute. https://www.311institute.com/anthropic-releases-their-openai-gpt-4-busting-claude-ai-3-model/
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