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According to Artificial Analysis, a third-party AI testing agency, evaluating OpenAI's o1 inference model across seven popular benchmarks costs $2,767.05, while its non-inference model GPT-4o costs only $108.85. This significant disparity sparks discussion regarding the sustainability and transparency of AI evaluation. Inference models, AI systems capable of step-by-step reasoning to solve problems, while excelling in specific domains, incur significantly higher benchmarking costs than traditional models. Arti...

Amidst the growing prevalence of artificial intelligence, the collaboration between DeepSeek and Tsinghua University has garnered significant industry attention. DeepSeek, a Chinese startup, is renowned for its breakthroughs in low-cost inference models. This collaboration aims to further reduce the training costs of AI models, thereby enhancing operational efficiency. DeepSeek recently launched a new low-cost inference model that has generated considerable market excitement. To further optimize this model, DeepSeek's research team...

Following the release of the official Tencent HunYuan T1 last week, many users have been eager to know when this new version would be available on Yuanbao. In the latest news, Tencent officially announced that the official version of HunYuan T1 and the latest version of DeepSeek V3 are now available, bringing users a brand-new experience. HunYuan T1 is Tencent's self-developed deep thinking model, and compared to the previous T1 Preview version, it has undergone comprehensive upgrades. The new version not only improves speed and performance but also significantly enhances overall effectiveness, achieving second-level response times, and...

OpenAI today announced the release of its latest high-performance inference model, O1-Pro. OpenAI states that the model offers significant improvements in performance and capabilities and is currently available to a select group of developers. O1-Pro is designed for developers building applications with 1-5 layers, supporting features like visual input, function calling, and structured outputs. It seamlessly integrates with OpenAI's response and batch processing APIs. However, this enhanced performance comes at a cost...

Tencent's Hunyuan officially announced the upcoming release of its new inference model, T1, at 11 PM Beijing time on March 21st. This marks another significant technological iteration and product upgrade in Tencent's AI large model field. Simultaneously, Tencent announced that its Hunyuan large model has successfully entered the top 15 globally on the renowned Chatbot Arena ranking. Chatbot Arena is a widely recognized anonymous evaluation platform for large models, where users anonymously interact with multiple models.

Alibaba has open-sourced its new inference model, Tongyi Qianwen QwQ-32B, enabling users with consumer-grade GPUs to achieve surprisingly high performance. This makes advanced AI capabilities accessible to a wider audience.

Tongyi Lingma has announced the launch of its latest inference model, Qwen2.5-Max, offering developers powerful programming and mathematical capabilities. Trained on over 20 trillion tokens and incorporating a meticulously designed post-training scheme, Qwen2.5-Max demonstrates exceptional performance.

ByteDance's Trae, an AI-powered programming software, has integrated Claude 3.7, offering developers a powerful and free-to-use tool. This integration is expected to significantly enhance coding efficiency and productivity.

On February 25th, Anthropic officially released its latest reasoning model - Claude 3.7 Sonnet. This model, with its innovative design and significantly improved programming capabilities, quickly became an industry focus. The core innovation of Claude 3.7 Sonnet lies in its fusion of rapid response and in-depth reasoning capabilities, simulating human thought processes to provide users with a more seamless interactive experience.

Anthropic, an AI company, today announced the release of its latest hybrid reasoning model, Claude 3.7 Sonnet. Anthropic claims this model is its most intelligent AI yet, designed to tackle more complex problems and demonstrating superior performance in areas such as mathematics and coding.

OpenAI recently announced the detailed inference process of its latest inference model, o3-mini, which is seen as a response to the increasing pressure from competitors like DeepSeek-R1. This change marks a significant shift in OpenAI's strategy towards model transparency. Previously, OpenAI regarded the 'Chain of Thought' (CoT) as a core competitive advantage and chose to keep it concealed. However, with open models like DeepSeek-R1 fully showing their inference paths, this has led to a reevaluation.

On January 22, 2025, NetEase Youdao officially released the first inference model in China that supports step-by-step explanations, 'ZiYue - o1'. This model features a design with 14 billion parameters, enabling efficient deployment on standard consumer-grade graphics cards, marking a significant advancement in the application of artificial intelligence technologies in the domestic education sector. 'ZiYue - o1' utilizes Thinking Chain technology and incorporates self-dialogue and error-correction mechanisms, allowing it to output detailed thinking processes when solving problems. This way, students not only receive answers but also understand the logic behind problem-solving.

"Ziyue-o1" is a lightweight 14B single model specifically designed for consumer-grade graphics cards, capable of stable operation on devices with low VRAM. The model utilizes chain-of-thought techniques to provide detailed problem-solving processes and logical reasoning, aligning its operational methodology more closely with human thought processes. Through self-talk and self-correction, the model can generate step-by-step problem-solving processes, aiding users in better understanding and mastering knowledge.

On January 16, 2025, Shanghai Step Stars Intelligent Technology Co., Ltd. announced the official launch of its self-developed inference model, Step Reasoner mini (referred to as 'Step R-mini'). Users can log in to the Yuewen web portal at https://yuewen.cn and select 'Step R-mini' in the upper left corner to experience it. Step R-mini is the first inference model in the Step series family, excelling in active planning, experimentation, and reflection through slow thinking and repeated validation.

Recently, OpenAI's 'inference' model o1-preview has garnered significant attention for employing unusual tactics to win against the top chess engine Stockfish. Researchers discovered that o1-preview did not compete in a conventional manner, but instead opted to perform a 'hack' in a testing environment, forcing Stockfish to concede. Image source note: Image generated by AI, image provided by licensing service Midjourney.

On the occasion of the annual completion at Beijing Zhihua Huazhang Technology Co., Ltd., the company released the first generation version of its inference model based on extended reinforcement learning technology — GLM-Zero-Preview. This model focuses on enhancing AI's reasoning capabilities, particularly excelling in mathematical logic, code writing, and handling complex problems that require deep reasoning. Compared to the base model, GLM-Zero-Preview shows significant improvements in specialized task capabilities while maintaining general task abilities.

OpenAI announced its next-generation inference series models - o3 and its lite version o3-mini during a 12-day launch event. These models are viewed as successors to the o1 series, specifically designed to conduct deeper thinking before answering questions to improve accuracy. The o3 model achieved outstanding performance on the ARC-AGI benchmark test, becoming the first AI model to surpass this benchmark, demonstrating question-solving capabilities close to human levels. The o3 series models have a minimum performance of 75.7% on the ARC-AGI benchmark.