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Gemini 2.5 Pro Enters Public Preview as Google Boosts AI Studio Rate Limits

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Google Expands Access to Gemini 2.5 Pro with Public Preview and New Pricing

Google has officially transitioned its Gemini 2.5 Pro AI model from experimental preview to public preview, allowing broader access for developers. Initially launched last month with limited rate caps, the advanced language model is now available with increased usage limits via the Gemini API and Google AI Studio. This shift opens the door for more robust experimentation and development, especially for those looking to integrate high-performance AI into their workflows.

According to Google, early interest in Gemini 2.5 Pro exceeded expectations, prompting the company to expand availability. While the model is now accessible through the Gemini API in AI Studio, it is still pending rollout on Vertex AI. Developers can take advantage of the new access tier immediately, giving them greater flexibility and speed in deploying AI-driven applications.

With expanded access comes clarified pricing. Google has introduced a two-tier pricing structure for Gemini 2.5 Pro. Under the standard tier, which includes up to 200,000 tokens, the model is priced at $1.25 per million input tokens and $10 per million output tokens. Input tokens cover all forms of content including text, images, and audio, while output tokens are calculated based on the model’s reasoning and response generation.

For developers who exceed the 200,000-token threshold, the higher tier pricing kicks in at $2.50 per million input tokens and $15 per million output tokens. Meanwhile, Google is continuing to offer the experimental version of Gemini with limited access at no cost. Emphasizing affordability, Google claims its rates are highly competitive — especially when compared to rivals like Anthropic’s Claude 3.7 Sonnet, which charges $3 and $15 for input and output tokens respectively.

OpenAI Set to Launch Open-Source AI Model Focused on Reasoning Capabilities

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OpenAI to Release Open-Source AI Model Focused on Reasoning

OpenAI is preparing to launch its first open-source artificial intelligence (AI) model with a focus on reasoning. This marks a significant shift for the San Francisco-based AI firm, which has not released an open-source model since the GPT-2 back in November 2019. The new model is expected to be unveiled in the coming months, with OpenAI specifically seeking feedback from the developer community to refine the model based on their needs and insights. One of the primary concerns during development is ensuring the model’s safety, with OpenAI emphasizing responsible deployment.

The open-source AI space has seen significant growth in recent years, with a variety of players, including Meta, Mistral, Alibaba, and major tech companies like Google and Microsoft, all releasing multiple models for public use. However, OpenAI has largely stayed away from open-source initiatives since the launch of GPT-2, instead focusing on closed software solutions. These proprietary models have not been available for downloading or modification, limiting research and commercial applications.

Earlier this year, OpenAI’s CEO, Sam Altman, addressed the company’s position on open-source AI during an AMA session on Reddit. Altman acknowledged that OpenAI had been “on the wrong side of history” in its approach to open-source releases. He expressed the need to adopt a more open strategy but noted that it wasn’t the company’s top priority at the time. His comments highlighted OpenAI’s awareness of the evolving landscape and its desire to adjust its approach.

With this upcoming open-source release, OpenAI aims to re-enter the competitive landscape of open AI models, focusing on addressing key issues like reasoning capabilities and safety. This move is expected to enhance collaboration within the AI research community and contribute to more transparent and accessible AI development.

Amazon Said to Be Developing Reasoning-Centered AI Model, Paving the Way for ‘Hybrid Intelligence’

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Amazon is reportedly developing a reasoning-focused artificial intelligence (AI) model, which is expected to be part of the company’s Nova family of AI offerings. Unlike consumer-centric products, this new model will likely be targeted at enterprise users through platforms such as Amazon Bedrock and Azure AI Foundry. This positioning places the model in direct competition with other reasoning-focused AI models on the market, including OpenAI’s o3-mini, Google’s Gemini 2.0 Flash Thinking, and DeepSeek-R1. The reasoning capabilities of these models allow them to address complex, nuanced problems that require more than just basic AI processing.

According to a Business Insider report, Amazon is building this reasoning model in-house from the ground up. Sources familiar with the project claim that the company is focusing on incorporating “hybrid reasoning” into the model. Hybrid reasoning is a feature that combines fast, standard responses with slower, more thoughtful answers that require additional compute power to break down intricate problems. This kind of capability allows for more flexible and sophisticated problem-solving, making it highly desirable for enterprise applications where accuracy and depth of analysis are paramount.

This approach mirrors that of recent advancements in the AI industry, such as Anthropic’s release of the Claude 3.7 Sonnet model, which also incorporated hybrid reasoning. However, Amazon’s main challenge will be keeping the model cost-efficient while maintaining top-tier performance. With the market for reasoning-focused AI models rapidly becoming crowded, Amazon’s goal is to ensure that its model stands out by delivering both speed and depth without breaking the bank. The company is expected to unveil this new AI model in June, with the primary focus on making it accessible and affordable for enterprises.

In addition to cost-effectiveness, Amazon has expressed a desire for the model to rank among the top performers in third-party AI leaderboards. The company reportedly aims for its new reasoning model to be ranked in the top five on platforms like the Chatbot Arena, a crowdsourced leaderboard where users and developers rate AI models based on their real-world performance. This focus on high-ranking performance indicates Amazon’s ambition to position its reasoning AI model as a leader in the competitive AI landscape, ensuring its place as a reliable tool for enterprise-level problem-solving.