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OpenAI announced the official opening of API access to its deep research models, providing developers with a powerful set of tools including automatic web search, data analysis, MCP (Model Communication Protocol), and code execution. The models opened include the deep research versions of o3 and o4-mini, which have already been used in ChatGPT. Now, developers can directly call these models via API. These models are particularly suitable for complex tasks that require obtaining the latest information and performing advanced reasoning. In terms of function expansion, o3,

OpenAI announced a major price cut of 80% for its flagship reasoning model o3 and simultaneously launched the high-performance o3-pro model. This move significantly reduces developer costs, triggering a new round of competition in the AI market. o3 Price Drop Significantly OpenAI has made significant adjustments to the pricing of the o3 model as follows: Input Tokens: Original price was $10 per million tokens, now reduced to $2 per million tokens. Output Tokens: Original price was $40 per million tokens, now reduced to $8 per million tokens. Cached Input Tokens: An additional 75% discount is provided.

According to a new analysis, the power consumption of artificial intelligence is expected to reach nearly half of the total electricity consumption of global data centers by the end of 2025, meaning AI energy consumption will soon surpass bitcoin mining. The analysis was conducted by Alex de Vries-Gao, a Ph.D. student at the Environmental Institute of Vrije Universiteit Amsterdam. He has previously tracked the power consumption and environmental impact of cryptocurrencies and published related data on his website Digiconomist. Currently, AI has already accounted for a significant portion of data center energy usage.

Zhipu BigModel's open platform has adjusted prices for several of its model offerings. GLM-4-FlashX, for example, is now priced at just 10 RMB per 100 million tokens. Built on a powerful pre-trained base, this model boasts exceptionally fast inference speeds and functional capabilities comparable to GPT-4, excelling in data extraction, generation, and translation.

Hugging Face announced the launch of the open-source humanoid robot, Reachy2, through the acquisition of French startup Pollen Robotics. This news sparked significant discussion on social media and within the AI community, considered a major milestone in the convergence of humanoid robotics and generative AI. Designed as a lab partner for AI research and education, Reachy2's open-source nature, advanced capabilities, and human-centric design have quickly made it a focus for top labs globally.

On April 7th, Kimi Open Platform officially announced price adjustments for its model inference services, significantly lowering context cache prices as well. This is based on a year's worth of technological advancements and performance optimizations by Moonshot AI. This move signifies Kimi Open Platform's commitment to enhancing user experience and promoting the widespread adoption of AI services while improving its technical capabilities. According to Kimi Open Platform, these price reductions are a result of Moonshot AI's progress in model training and inference optimization over the past year.

Bloomberg reports that Meta is preparing to launch a high-end version of its Ray-Ban Meta smart glasses with a built-in display, potentially as early as the end of this year. Codenamed Hypernova, these glasses will support running apps and displaying photos, controlled via gestures and capacitive touch on the sides of the frames. The screen, according to the report, will only appear in the bottom-right quadrant of the right lens, optimized for viewing when looking downward. Upon startup, the main screen displays icons horizontally, similar to Meta's...

The Arc Prize Foundation, responsible for maintaining and managing the competition, last week revised its cost estimate for OpenAI's upcoming o3 inference AI model with a staggering adjustment—from an initial estimate of $3,000 per ARC-AGI task to $30,000. This price correction reveals that the operational costs of today's most complex AI models may be ten times higher than previously anticipated. While OpenAI has yet to announce an official pricing strategy for o3, or even officially release the model, the Arc Prize...

OpenAI has announced the launch of o1-pro, a new inference AI model within its developer API. OpenAI states that o1-pro leverages significantly more compute resources than its existing o1 model, aiming for consistently superior responses. However, this high-performance model is currently only available to a select group of developers – specifically, those who have spent at least $5 on OpenAI API services. Notably, o1-pro is significantly more expensive, costing ten times as much as the o1 model.

Silicon-Based Flow's official WeChat account announced that, effective immediately, the DeepSeek-R1 & V3 APIs on the SiliconCloud platform now support batch inference (BatchInference). Users can send requests to SiliconCloud via the batch API, unaffected by real-time inference rate limits, with task completion expected within 24 hours. Compared to real-time inference, DeepSeek-V3 batch inference pricing is reduced by 50%. From March 11th to March 18th, DeepSeek-R1 will enjoy a 75% price reduction.

SiliconCloud's platform now officially supports batch inference for DeepSeek-R1 and V3 APIs. Users can submit requests via batch APIs to process large datasets within 24 hours, overcoming the limitations of real-time inference rates. A key highlight is the significant price reduction; DeepSeek-V3 batch inference is substantially cheaper than real-time inference.

The rapid advancement of Artificial Intelligence (AI) large language model technology in recent years has led to a price war intensifying market competition. DataBao's latest statistics indicate this downward price trend will continue in 2025. Recently, companies like ByteDance and Alibaba Cloud have announced price reductions for their AI large language models, attracting significant industry attention. For example, ByteDance's Doubao large language model announced a price cut in December last year, reducing the price of its visual understanding model to 0.003 yuan/thousand tokens.

DeepSeek announced a significant price adjustment for API calls during a promotional period. DeepSeek-V3 will be discounted to 50% of its original price, while DeepSeek-R1 will be reduced to a remarkable 25%. This initiative aims to encourage users to leverage platform resources during off-peak hours, enjoying more cost-effective and seamless service.