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OpenAI’s GPT-5.3 Codex and Anthropic’s Opus 4.6 Debut With Competing Strengths

Key Takeaways

  • ​Claude Opus 4.6 shows stronger results in long-context tasks and gains an edge in finance and legal reasoning;
  • GPT-5.3 Codex leads in automated coding tests, uses fewer tokens, and completes tasks at a faster pace;
  • Both models target different strengths, which creates a clear split between reasoning tasks and coding performance.

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OpenAI’s GPT-5.3 Codex and Anthropic’s Opus 4.6 Debut With Competing Strengths

Two major artificial intelligence (AI) companies, OpenAI and Anthropic introduced new flagship models on February 5.

Anthropic introduced Claude Opus 4.6. The company said the model handles large volumes of text more effectively and supports agent-style workflows.

It highlighted a 1-million-token context window and a 76% result on the MRCR v2 benchmark. This test measures how well a system retrieves and interprets complex information.

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Anthropic also stated that Claude Opus 4.6 improves on earlier versions in finance and legal tasks. It added a feature called “agent teams", which lets several AI agents work at the same time on coding or documentation tasks.

OpenAI released GPT-5.3 Codex later. The company presented it as a model built for agentic coding and research tasks.

OpenAI said Codex reached 77.3% on Terminal-Bench 2.0, which measures performance on automated coding tasks. The company also reported that Codex completed tasks faster and used fewer tokens.

OpenAI added that early versions of Codex were used for internal work. The company used the model to help debug training processes and manage deployment.

The initial results showed that the two models focus on different strengths. Claude Opus 4.6 performed better on legal and financial reasoning. GPT-5.3 Codex delivered stronger results on coding tests and overall efficiency.

Meanwhile, Elon Musk recently decided to bring xAI under the control of his space company, SpaceX. What did he say? Read the full story.

Aaron S. Editor-In-Chief
Having completed a Master’s degree in Economics, Politics, and Cultures of the East Asia region, Aaron has written scientific papers analyzing the differences between Western and Collective forms of capitalism in the post-World War II era.
With close to a decade of experience in the FinTech industry, Aaron understands all of the biggest issues and struggles that crypto enthusiasts face. He’s a passionate analyst who is concerned with data-driven and fact-based content, as well as that which speaks to both Web3 natives and industry newcomers.
Aaron is the go-to person for everything and anything related to digital currencies. With a huge passion for blockchain & Web3 education, Aaron strives to transform the space as we know it, and make it more approachable to complete beginners.
Aaron has been quoted by multiple established outlets, and is a published author himself. Even during his free time, he enjoys researching the market trends, and looking for the next supernova.

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