GPT-5.5 and Claude Opus 4.7: The Clash of AIs
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GPT-5.5 and Claude Opus 4.7: The Clash of AIs
Two giants of artificial intelligence, OpenAI and Anthropic, have recently unveiled their latest innovations: GPT-5.5 and Claude Opus 4.7. These models embody two distinct approaches in the field of AI, each with its own strengths and weaknesses. As the competition for market leadership intensifies, it is crucial to determine which of these models is best suited to our daily needs.
The Essentials at a Glance
GPT-5.5 positions itself as a powerful tool for action and automation. It excels in agentic capabilities, such as using terminals and web navigation, and proves particularly effective in offensive cybersecurity. In contrast, Claude Opus 4.7 stands out for its aptitude in complex reasoning, especially in hard sciences and long-term strategic problems. However, this enhanced intelligence comes at a cost: both models rely on "reasoning tokens" that are invisible, making them slower and more expensive.
Why GPT-5.5 Is Not Invincible
Looking at global rankings, such as the Artificial Analysis Intelligence Index, GPT-5.5 scores 60, surpassing Claude Opus 4.7, which reaches 57. The "xhigh" version of GPT-5.5 claims the top spot globally, which is significant in the context of overall performance. Although this three-point gap places GPT-5.5 ahead, these indices have their limitations. They tend to standardize differences and do not reflect the models' performances on particularly challenging tasks.
Revealing Advanced Tests
The GPQA Diamond, a benchmark of PhD-level questions in sciences, shows that Claude Opus 4.7 scores 94.2%, slightly ahead of GPT-5.5 with 93.6%. This inherently demanding test highlights Claude's ability to excel in areas where reasoning is crucial. Similarly, the Humanity’s Last Exam, designed to challenge AIs with complex questions, sees Claude Opus 4.7 outpace GPT-5.5, with respective scores of 46.9% and 41.4% without tools. With tools, the gap narrows, but Claude Opus 4.7 remains in the lead with 54.7% compared to 52.2%.
Opus, the Brain; GPT, the Arm
In programming, the benchmark SWE-bench Pro places Claude Opus 4.7 at 64.3%, compared to 58.6% for GPT-5.5. This underscores Claude's ability to solve complex problems in a non-trivial manner. However, Anthropic admits that their model may have memorized certain problems, which necessitates caution in interpreting the results. On the other hand, for tasks requiring autonomous action, GPT-5.5 takes the lead, particularly on the Terminal-Bench 2.0.
Agentic Capabilities in Detail
Agentic capabilities, which refer to an AI's ability to interact within a computing environment, are an area where GPT-5.5 shines. On the Terminal-Bench 2.0, it scores 82.7%, compared to 69.4% for Claude Opus 4.7. Likewise, on OSWorld-Verified (autonomous computer use) and BrowseComp (autonomous web navigation), GPT-5.5 surpasses its competitor, confirming its superiority for systems requiring operational autonomy with scores of 78.7% versus 78.0% and 84.4% versus 79.3%, respectively.
Cybersecurity and Long-Term Strategy
In the field of cybersecurity, the benchmark CyberGym reveals that GPT-5.5 is superior, with a score of 81.8% compared to 73.1% for Claude Opus 4.7. This performance is attributed to its agentic skills. However, for long-term strategy, Claude Opus 4.7 excels, particularly in the Vending-Bench 2, which simulates business management over 350 days. This test highlights Claude's ability to plan and anticipate in the long term, a skill still out of reach for GPT-5.5.
The Hidden Cost of Intelligence
The highest-performing versions of these AIs, GPT-5.5 xhigh and Claude Opus 4.7 max, make intensive use of reasoning tokens. These invisible tokens allow for intermediate reasoning before providing an answer, thus increasing the necessary resources and cost of use. This hidden cost explains why these versions are slower and more expensive, but also why they are capable of achieving such a high level of excellence.
Conclusion: Choosing According to Your Needs
Today, the choice between these two models is clearer. GPT-5.5 is ideal for those seeking action and automation, while Claude Opus 4.7 is preferable for those who prioritize complex reasoning and long-term strategy. Companies must therefore assess their specific needs to determine which model will best fit into their technological ecosystem.
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