OpenAI Releases GPT-5: Major Leap in Reasoning, Full Multimodal Input Upgrade, AI Enters New Era

The most引人注目的 upgrade of GPT-5 lies in the qualitative leap in its reasoning capability. According to the technical report published by OpenAI, GPT-5 has achieved breakthrough results in the ARC (Abstraction and Reasoning Corpus) benchmark test. Previously, OpenAI's O3 model had already achieved a score of 87.5% on the ARC benchmark under high-compute conditions, far exceeding the previous AI system level of 53%. GPT-5 further improves on this basis, demonstrating stronger abstract reasoning and problem-solving capabilities. This means GPT-5 can better understand the essence of complex problems, perform multi-step logical reasoning, and show stronger generalization ability when facing novel problems. In practical applications, this improvement in reasoning capability is directly reflected in tasks requiring deep thinking such as code generation, mathematical proofs, and scientific analysis. Developer feedback shows that GPT-5's accuracy rate in handling complex programming tasks has increased by about 40% compared to GPT-4, especially performing outstandingly in high-level tasks such as understanding business logic and designing system architecture.

The comprehensive upgrade of multimodal capabilities is another major highlight of GPT-5. GPT-5 can not only process text input but also seamlessly integrate information from multiple modalities including images, audio, and video. Compared with GPT-4's multimodal capabilities, GPT-5 has achieved major breakthroughs in the following aspects: First, visual understanding capability has been greatly improved, able to more accurately identify detailed information in images and understand complex charts and data visualizations; second, audio processing capability has been significantly enhanced, supporting real-time voice conversations and able to recognize the speaker's emotional tone; third, video understanding capability is introduced for the first time, which can analyze video content, extract key frame information, and understand temporal sequence relationships in videos. This full-modal integration enables GPT-5 to comprehensively understand the world through multiple sensory channels like humans. In practical applications, this means users can upload a product photo for GPT-5 to analyze design defects, record a meeting audio for AI to automatically generate meeting minutes, and even use video to let AI assist in diagnosing equipment failures.

In terms of mathematics and scientific computation, GPT-5 also demonstrates remarkable progress. According to OpenAI's test data, GPT-5 has set new best scores on multiple mathematics benchmarks including the MATH benchmark and GSM8K mathematical reasoning test. Especially in the field of higher mathematics, GPT-5 can handle complex mathematical problems such as calculus, linear algebra, and probability statistics, and can provide complete solution steps and proof processes. In scientific computation, GPT-5 performs excellently on professional questions in disciplines such as physics, chemistry, and biology, able to assist researchers in data analysis, experiment design, and literature review. It is worth noting that GPT-5 also introduces a 'Verifiable Reasoning' mechanism, which can provide verifiable evidence of the reasoning process while giving answers, greatly improving the credibility and traceability of AI responses. This capability is particularly important for fields with extremely high accuracy requirements such as financial analysis, legal research, and medical diagnosis.

The release of GPT-5 has had a profound impact on the AI industry landscape. First, it has intensified the AI arms race among tech giants. Google released Gemini 3 in November 2025, surpassing Anthropic's Claude models in some coding and reasoning tasks. Anthropic released Claude 4.5 Opus in late November 2025, regaining the top position on most benchmarks. This fierce competition has driven rapid progress across the AI industry. Second, the release of GPT-5 has also triggered a new round of discussion about AI safety and ethics. As AI system capabilities continue to strengthen, issues such as how to ensure AI behavior conforms to human values, how to prevent AI misuse, and how to handle the employment impact AI may bring have become more urgent. OpenAI stated that GPT-5 has built-in stronger safety protection mechanisms, including more precise content filtering, more complete identity verification, and more transparent decision-making processes. In addition, GPT-5's pricing strategy is also worth noting — although performance has greatly improved, API call costs have only increased by about 15% compared to GPT-4, reflecting OpenAI's strategic intention to 'make AI accessible to all.'