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Anthropic Claude 3 Opus Beats OpenAI GPT-4

Anthropic Claude 3 Opus Beats OpenAI GPT-4

It’s only about time OpenAI releases GPT-5

Anthropic Claude 3 Opus Beats OpenAI GPT-4
Siddharth Jindal·Published Updated

Key takeaways

  • Anthropic's Claude 3 Opus outperforms OpenAI's GPT-4 on key performance benchmarks.
  • Claude 3 family includes models optimized for speed, enterprise workloads, and multilingual capabilities.
  • Opus features near-perfect recall and processes over 1 million tokens efficiently.
  • Haiku model stands out as the fastest and most cost-effective for real-time tasks.
  • Claude 3 models also excel in vision tasks, enhancing data processing capabilities.
5 min

Anthropic today released the Claude 3 model family which comprises Claude 3 Haiku, Claude 3 Sonnet, and Claude 3 Opus.

Opus is the flagship model of the Claude 3 family. Meanwhile, Claude 3 Sonnet is designed for enterprise workloads, and Claude 3 Haiku stands out as the fastest and most compact model, ensuring near-instant responsiveness. It excels at answering simple queries and requests with unmatched speed

Claude 3 Opus (the strongest model) outperforms GPT-4 on common benchmarks like MMLU and HumanEval. Claude 3 capabilities include analysis, forecasting, content creation, code generation, and conversing in non-English languages like Spanish, Japanese, and French.

The Claude 3 family initially offers a 200K context window, but all models are capable of processing inputs exceeding 1 million tokens. Opus, in particular, showcases near-perfect recall, surpassing 99% accuracy in the 'Needle In A Haystack' evaluation. In contrast Gemini 1.5 has a context window of 1 million tokens. 

The Claude 3 models prove their mettle by enabling near-instantaneous results, fueling live customer chats, auto-completions, and real-time data extraction tasks. Haiku stands out as the fastest and most cost-effective in its category, delivering remarkable performance, reading through information-dense research papers in less than three seconds.

The models also have strong vision capabilities for processing formats like photos, charts, and graphs. Anthropic claims these models have a more nuanced understanding of requests and make fewer refusals. 

The input cost for Opus is $15 per million tokens, with an output cost of $75 per million tokens. For Sonnet, the input cost is $3 per million tokens, and the output cost is $15 per million tokens. As for Haiku, the input cost is $0.25 per million tokens, and the output cost is $1.25 per million tokens.

Opus and Sonnet are available to use today in API, which is now generally available, enabling developers to sign up and start using these models immediately. Haiku will be available soon. Sonnet is powering the free experience on claude.ai, with Opus available for Claude Pro subscribers.

Sonnet is also available today through Amazon Bedrock and in private preview on Google Cloud’s Vertex AI Model Garden—with Opus and Haiku coming soon to both.

https://twitter.com/mattshumer_/status/1764674785571729731

It's time OpenAI released GPT-5. In conversation with Bill Gates, OpenAI Chief Sam Altman spoke at length about GPT-5, emphasising on customisation and personalisation. 

“The ability to know about you, your email, your calendar, how you like appointments booked, connected to other outside data sources—all of that. Those will be some of the most important areas of improvement,” said Altman. Furthermore, he claimed that GPT-5 would have much better reasoning capabilities than GPT-4. 

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