Maximilian Schreiner@THE DECODER
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Google's Gemini 2.5 Pro is making waves as a top-tier reasoning model, marking a leap forward in Google's AI capabilities. Released recently, it's already garnering attention from enterprise technical decision-makers, especially those who have traditionally relied on OpenAI or Claude for production-grade reasoning. Early experiments, benchmark data, and developer reactions suggest Gemini 2.5 Pro is worth serious consideration.
Gemini 2.5 Pro distinguishes itself with its transparent, structured reasoning. Google's step-by-step training approach results in a structured chain of thought that provides clarity. The model presents ideas in numbered steps, with sub-bullets and internal logic that's remarkably coherent and transparent. This breakthrough offers greater trust and steerability, enabling enterprise users to validate, correct, or redirect the model with more confidence when evaluating output for critical tasks.
Recommended read:
References :
- SiliconANGLE: Google LLC said today it’s updating its flagship Gemini artificial intelligence model family by introducing an experimental Gemini 2.5 Pro version.
- The Tech Basic: Google's New AI Models “Think” Before Answering, Outperform Rivals
- AI News | VentureBeat: Google releases ‘most intelligent model to date,’ Gemini 2.5 Pro
- Analytics Vidhya: We Tried the Google 2.5 Pro Experimental Model and It’s Mind-Blowing!
- www.tomsguide.com: Google unveils Gemini 2.5 — claims AI breakthrough with enhanced reasoning and multimodal power
- Google DeepMind Blog: Gemini 2.5: Our most intelligent AI model
- THE DECODER: Google Deepmind has introduced Gemini 2.5 Pro, which the company describes as its most capable AI model to date. The article appeared first on .
- intelligence-artificielle.developpez.com: Google DeepMind a lancé Gemini 2.5 Pro, un modèle d'IA qui raisonne avant de répondre, affirmant qu'il est le meilleur sur plusieurs critères de référence en matière de raisonnement et de codage
- The Tech Portal: Google unveils Gemini 2.5, its most intelligent AI model yet with ‘built-in thinking’
- Ars OpenForum: Google says the new Gemini 2.5 Pro model is its “smartest†AI yet
- The Official Google Blog: Gemini 2.5: Our most intelligent AI model
- www.techradar.com: I pitted Gemini 2.5 Pro against ChatGPT o3-mini to find out which AI reasoning model is best
- bsky.app: Google's AI comeback is official. Gemini 2.5 Pro Experimental leads in benchmarks for coding, math, science, writing, instruction following, and more, ahead of OpenAI's o3-mini, OpenAI's GPT-4.5, Anthropic's Claude 3.7, xAI's Grok 3, and DeepSeek's R1. The narrative has finally shifted.
- Shelly Palmer: Google’s Gemini 2.5: AI That Thinks Before It Speaks
- bdtechtalks.com: What to know about Google Gemini 2.5 Pro
- Interconnects: The end of a busy spring of model improvements and what's next for the presumed leader in AI abilities.
- www.techradar.com: Gemini 2.5 is now available for Advanced users and it seriously improves Google’s AI reasoning
- www.zdnet.com: Google releases 'most intelligent' experimental Gemini 2.5 Pro - here's how to try it
- Unite.AI: Gemini 2.5 Pro is Here—And it Changes the AI Game (Again)
- TestingCatalog: Gemini 2.5 Pro sets new AI benchmark and launches on AI Studio and Gemini
- Analytics Vidhya: Google DeepMind's latest AI model, Gemini 2.5 Pro, has reached the #1 position on the Arena leaderboard.
- AI News: Gemini 2.5: Google cooks up its ‘most intelligent’ AI model to date
- Fello AI: Google’s Gemini 2.5 Shocks the World: Crushing AI Benchmark Like No Other AI Model!
- Analytics India Magazine: Google Unveils Gemini 2.5, Crushes OpenAI GPT-4.5, DeepSeek R1, & Claude 3.7 Sonnet
- Practical Technology: Practical Tech covers the launch of Google's Gemini 2.5 Pro and its new AI benchmark achievements.
- Shelly Palmer: Google's Gemini 2.5: AI That Thinks Before It Speaks
- www.producthunt.com: Google's most intelligent AI model
- Windows Copilot News: Google reveals AI ‘reasoning’ model that ‘explicitly shows its thoughts’
- AI News | VentureBeat: Hands on with Gemini 2.5 Pro: why it might be the most useful reasoning model yet
- thezvi.wordpress.com: Gemini 2.5 Pro Experimental is America’s next top large language model. That doesn’t mean it is the best model for everything. In particular, it’s still Gemini, so it still is a proud member of the Fun Police, in terms of …
- www.computerworld.com: Gemini 2.5 can, among other things, analyze information, draw logical conclusions, take context into account, and make informed decisions.
- www.infoworld.com: Google introduces Gemini 2.5 reasoning models
- Maginative: Google's Gemini 2.5 Pro leads AI benchmarks with enhanced reasoning capabilities, positioning it ahead of competing models from OpenAI and others.
- www.infoq.com: Google's Gemini 2.5 Pro is a powerful new AI model that's quickly becoming a favorite among developers and researchers. It's capable of advanced reasoning and excels in complex tasks.
- AI News | VentureBeat: Google’s Gemini 2.5 Pro is the smartest model you’re not using – and 4 reasons it matters for enterprise AI
- Communications of the ACM: Google has released Gemini 2.5 Pro, an updated AI model focused on enhanced reasoning, code generation, and multimodal processing.
- The Next Web: Google has released Gemini 2.5 Pro, an updated AI model focused on enhanced reasoning, code generation, and multimodal processing.
- www.tomsguide.com: Surprise move comes just days after Gemini 2.5 Pro Experimental arrived for Advanced subscribers.
- Composio: Google just launched Gemini 2.5 Pro on March 26th, claiming to be the best in coding, reasoning and overall everything. But I The post appeared first on .
- Composio: Google's Gemini 2.5 Pro, released on March 26th, is being hailed for its enhanced reasoning, coding, and multimodal capabilities.
- Analytics India Magazine: Gemini 2.5 Pro is better than the Claude 3.7 Sonnet for coding in the Aider Polyglot leaderboard.
- www.zdnet.com: Gemini's latest model outperforms OpenAI's o3 mini and Anthropic's Claude 3.7 Sonnet on the latest benchmarks. Here's how to try it.
- www.marketingaiinstitute.com: [The AI Show Episode 142]: ChatGPT’s New Image Generator, Studio Ghibli Craze and Backlash, Gemini 2.5, OpenAI Academy, 4o Updates, Vibe Marketing & xAI Acquires X
- www.tomsguide.com: Gemini 2.5 is free, but can it beat DeepSeek?
- www.tomsguide.com: Google Gemini could soon help your kids with their homework — here’s what we know
- PCWorld: Google’s latest Gemini 2.5 Pro AI model is now free for all users
- www.techradar.com: Google just made Gemini 2.5 Pro Experimental free for everyone, and that's awesome.
- Last Week in AI: #205 - Gemini 2.5, ChatGPT Image Gen, Thoughts of LLMs
- Data Phoenix: Google Unveils Gemini 2.5: Its Most Intelligent AI Model Yet
- SiliconANGLE: AWS brings its generative AI assistant to the Amazon OpenSearch Service
Michael Nuñez@AI News | VentureBeat
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OpenAI, the company behind ChatGPT, has announced a significant strategic shift by planning to release its first open-weight AI model since 2019. This move comes amidst mounting economic pressures from competitors like DeepSeek and Meta, whose open-source models are increasingly gaining traction. CEO Sam Altman revealed the plans on X, stating that the new model will have reasoning capabilities and allow developers to run it on their own hardware, departing from OpenAI's cloud-based subscription model.
This decision marks a notable change for OpenAI, which has historically defended closed, proprietary models. The company is now looking to gather developer feedback to make the new model as useful as possible, planning events in San Francisco, Europe and Asia-Pacific. As models improve, startups and developers increasingly want more tunable latency, and want to use on-prem deplouments requiring full data control, according to OpenAI.
The shift comes alongside a monumental $40 billion funding round led by SoftBank, which has catapulted OpenAI's valuation to $300 billion. SoftBank will initially invest $10 billion, with the remaining $30 billion contingent on OpenAI transitioning to a for-profit structure by the end of the year. This funding will help OpenAI continue building AI systems that drive scientific discovery, enable personalized education, enhance human creativity, and pave the way toward artificial general intelligence. The release of the open-weight model is expected to help OpenAI compete with the growing number of efficient open-source alternatives and counter the criticisms that have come from remaining a closed model.
Recommended read:
References :
- Data Science at Home: Is DeepSeek the next big thing in AI? Can OpenAI keep up? And how do we truly understand these massive LLMs?
- venturebeat.com: OpenAI to release open-source model as AI economics force strategic shift
- WIRED: Sam Altman Says OpenAI Will Release an ‘Open Weight’ AI Model This Summer
- Fello AI: OpenAI Secures Historic $40 Billion Funding Round
- www.theguardian.com: OpenAI said it had raised $40bn in a funding round that valued the ChatGPT maker at $300bn.
- SiliconANGLE: OpenAI to launch its first ‘open-weights’ model since 2019
- techxplore.com: OpenAI says it raised $40 bn at valuation of $300 bn
- SiliconANGLE: OpenAI bags $40B in funding, increasing its post-money valuation to $300B
- techxplore.com: OpenAI says it raised $40 bn at valuation of $300 bn
- www.tomsguide.com: OpenAI is planning on launching its first open-weight model in years
- THE DECODER: OpenAI plans to release open-weight reasoning LLM without usage restrictions
- www.it-daily.net: OpenAI raises 40 billion dollars from investors
- bsky.app: OpenAI has raised $40 billion at a $300 billion valuation. For context, Boeing has a $128 billion market cap, Disney has a $178 billion market cap, and Chevron has a $295 billion market cap. So, OpenAI has been valued at something like Boeing plus Disney, or just some $5 billion more than Chevron.
- THE DECODER: SoftBank and OpenAI announced a major partnership on Monday that includes billions in annual spending and a new joint venture focused on the Japanese market.
- The Tech Portal: OpenAI has closed a record-breaking $40 billion private funding round, marking the…
- www.techrepublic.com: Developers Wanted: OpenAI Seeks Feedback About Open Model That Will Be Revealed ‘In the Coming Months’
- bdtechtalks.com: Understanding OpenAI’s pivot to releasing open source models
- techstrong.ai: OpenAI to Raise $40 Billion in Funding, Release Open-Weight Language Model
- Charlie Fink: OpenAI Raises $40 Billion, Runway AI Video $380 Million, Amazon, Oracle, TikTok Suitors Await Decision
- Charlie Fink: Runway’s Gen-4 release overshadows OpenAI’s image upgrade as Higgsfield, Udio, Prodia, and Pika debut powerful new AI tools for video, music, and image generation.
Ryan Daws@AI News
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DeepSeek V3-0324 has emerged as a leading AI model, topping benchmarks for non-reasoning AI in an open-source breakthrough. This milestone signifies a significant advancement in the field, as it marks the first time an open weights model has achieved the top position among non-reasoning models. The model's performance surpasses proprietary counterparts and edges it closer to proprietary reasoning models, highlighting the growing viability of open-source solutions for latency-sensitive applications. DeepSeek V3-0324 represents a new era for open-source AI, offering a powerful and adaptable tool for developers and enterprises.
DeepSeek-V3 now runs at 20 tokens per second on Apple’s Mac Studio, presenting a challenge to OpenAI’s cloud-dependent business model. The 685-billion-parameter model, DeepSeek-V3-0324, is freely available for commercial use under the MIT license. This achievement, coupled with its cost efficiency and performance, signals a shift in the AI sector, where open-source frameworks increasingly compete with closed systems. Early testers report significant improvements over previous versions, positioning DeepSeek's new model above Claude Sonnet 3.5 from Anthropic.
Recommended read:
References :
- Analytics India Magazine: The model outperformed all other non-reasoning models across several benchmarks but trailed behind DeepSeek-R1, OpenAI’s o1, o3-mini, and other reasoning models.
- venturebeat.com: DeepSeek-V3 now runs at 20 tokens per second on Mac Studio, and that’s a nightmare for OpenAI
- AI News: DeepSeek V3-0324 tops non-reasoning AI models in open-source first
- Analytics Vidhya: DeepSeek V3-0324: Generated 700 Lines of Code without Breaking
- Analytics Vidhya: DeepSeek V3-0324 vs Claude 3.7: Which is the Better Coder?
- Cloud Security Alliance: Markets reacted dramatically, with Nvidia alone losing nearly $600 billion in value in a single day, part of a broader...
- GZERO Media: Just a few short months ago, Silicon Valley seemed to have the artificial intelligence industry in a chokehold.
- MarkTechPost: DeepSeek AI Unveils DeepSeek-V3-0324: Blazing Fast Performance on Mac Studio, Heating Up the Competition with OpenAI
- SiliconANGLE: DeepSeek today released an improved version of its DeepSeek-V3 large language model under a new open-source license.
- techstrong.ai: DeepSeek Ups Ante (Again) in Duel with OpenAI, Anthropic
- www.zdnet.com: DeepSeek V3 model gets a major upgrade
- www.techradar.com: DeepSeek’s new AI is smarter, faster, cheaper, and a real rival to OpenAI's models
- Composio: Deepseek v3 0324: Finally, the Sonnet 3.5 at Home
- AI News: DeepSeek disruption: Chinese AI innovation narrows global technology divide
Ryan Daws@AI News
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DeepSeek V3-0324, the latest large language model from Chinese AI startup DeepSeek, is making waves in the artificial intelligence industry. The model, quietly released with an MIT license for commercial use, has quickly become the highest-scoring non-reasoning model on the Artificial Analysis Intelligence Index. This marks a significant milestone for open-source AI, surpassing proprietary counterparts like Google’s Gemini 2.0 Pro, Anthropic’s Claude 3.7 Sonnet, and Meta’s Llama 3.3 70B.
DeepSeek V3-0324's efficiency is particularly notable. Early reports indicate that it can run directly on consumer-grade hardware, specifically Apple’s Mac Studio with an M3 Ultra chip, achieving speeds of over 20 tokens per second. This capability is a major departure from the typical data center requirements associated with state-of-the-art AI. The updated version demonstrates substantial improvements in reasoning and benchmark performance, as well as enhanced Chinese writing proficiency and optimized translation quality.
Recommended read:
References :
- venturebeat.com: DeepSeek-V3 now runs at 20 tokens per second on Mac Studio, and that’s a nightmare for OpenAI
- AI News: DeepSeek V3-0324 tops non-reasoning AI models in open-source first
- Analytics Vidhya: DeepSeek V3-0324: Generated 700 Lines of Code without Breaking
- Analytics India Magazine: The model outperformed all other non-reasoning models across several benchmarks but trailed behind DeepSeek-R1, OpenAI’s o1, o3-mini, and other reasoning models.
- Cloud Security Alliance: DeepSeek: Behind the Hype and Headlines
- techstrong.ai: DeepSeek Ups Ante (Again) in Duel with OpenAI, Anthropic
- www.techradar.com: Deepseek’s new AI is smarter, faster, cheaper, and a real rival to OpenAI's models
- Analytics Vidhya: DeepSeek V3-0324 vs Claude 3.7: Which is the Better Coder?
- MarkTechPost: DeepSeek AI Unveils DeepSeek-V3-0324: Blazing Fast Performance on Mac Studio, Heating Up the Competition with OpenAI
- www.zdnet.com: It's called V3-0324, but the real question is: Is it foreshadowing the upcoming launch of R2?
- SiliconANGLE: DeepSeek today released an improved version of its DeepSeek-V3 large language model under a new open-source license.
- Composio: Deepseek v3 o324, a new checkpoint, has been released by Deepseek in silence, with no marketing or hype, just a tweet and The post appeared first on .
- Composio: Deepseek v3-0324 vs. Claude 3.7 Sonnet
Jesus Rodriguez@TheSequence
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OpenAI has recently launched new audio features and tools aimed at enhancing the capabilities of AI agents. The releases include updated transcription and text-to-speech models, as well as tools for building AI agents. The audio models, named gpt-4o-transcribe and gpt-4o-mini-transcribe, promise better performance than the previous Whisper models, achieving lower word error rates across multiple languages and demonstrating improvements in challenging audio conditions like varying accents and background noise. These models are built on top of language models, making them potentially vulnerable to prompt injection attacks.
OpenAI also unveiled new tools for AI agent development, featuring a Responses API, built-in web search, file search, and computer use functionalities, alongside an open-source Agents SDK. Furthermore, they introduced o1 Pro, a new reasoning model, positioned for complex reasoning tasks, comes with a high cost, priced at $150 per million input tokens and $600 per million output tokens. The gpt-4o-mini-tts text-to-speech model introduces "steerability", allowing developers to control the tone and delivery of the model.
Recommended read:
References :
- Data Phoenix: OpenAI Launches New Tools for Building AI Agents
- Fello AI: OpenAI's new o1 Pro pricing strategy with a substantial markup compared to previous models.
- TheSequence: The Sequence Engineering #513: A Deep Dive Into OpenAI's New Tools for Developing AI Agents
- AI News | VentureBeat: OpenAI’s new voice AI model gpt-4o-transcribe lets you add speech to your existing text apps in seconds
- Windows Copilot News: Canadian Media Outlets Sue OpenAI Over Copyright Infringement
- www.techrepublic.com: Have Some Spare Cash? You’ll Need it for OpenAI’s New API
- bsky.app: Discussion of OpenAI's new o1-Pro API pricing and its implications for the AI community.
- Maginative: OpenAI Unveils New Audio Models to Make AI Agents Sound More Human Than Ever
- bsky.app: This blog post discusses OpenAI's new audio models, noting their promising features but also mentioning the issue of mixing instructions and data in the same token stream.
- www.techrepublic.com: This article reports on OpenAI's new text-to-speech and speech-to-text tools based on GPT-4o, highlighting their capabilities and potential applications but also mentioning a possible similar path for video.
- Analytics Vidhya: OpenAI's Audio Models: How to Access, Features, Applications, and More
- MarkTechPost: OpenAI Introduced Advanced Audio Models ‘gpt-4o-mini-tts’, ‘gpt-4o-transcribe’, and ‘gpt-4o-mini-transcribe’: Enhancing Real-Time Speech Synthesis and Transcription Capabilities for Developers
- Simon Willison's Weblog: OpenAI announced today, for both text-to-speech and speech-to-text. They're very promising new models, but they appear to suffer from the ever-present risk of accidental (or malicious) instruction following.
- THE DECODER: OpenAI releases new AI voice models with customizable speaking styles
- Composio: Finally, OpenAI gave in and launched a new agentic framework called Agents SDK.
- Last Week in AI: Our 204th episode with a summary and discussion of last week's big AI news! Recorded on 03/21/2025 Hosted by and . Feel free to email us your questions and feedback at and/or Read out our text newsletter and comment on the podcast at . https://discord.gg/nTyezGSKwP In this episode: Baidu launched two new multimodal models, Ernie 4.5 and Ernie X1, boasting competitive pricing and capabilities compared to Western counterparts like GPT-4.5 and DeepSeek R1. OpenAI introduced new audio models, including impressive speech-to-text and text-to-speech systems, and added O1 Pro to their developer API at high costs, reflecting efforts for more profitability. Nvidia and Apple announced significant hardware advancements, including Nvidia's future GPU plans and Apple's new Mac Studio offering that can run DeepSeek R1. DeepSeek employees are facing travel restrictions, suggesting China is treating its AI development with increased secrecy and urgency, emphasizing a wartime footing in AI competition.
Ryan Daws@AI News
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DeepSeek has released DeepSeek V3-0324, an upgraded version of their large language model, marking a significant milestone in open-source AI. According to Artificial Analysis, this new iteration is the highest-scoring non-reasoning model available, surpassing even proprietary counterparts from Google, Anthropic, and Meta. Its accessibility improves the AI research environment. Early reports indicate substantial improvements in reasoning and coding abilities, positioning it as a real rival to OpenAI's models.
The updated model, V3-0324, excels in benchmarks such as MMLU-Pro, GPQA, AIME, and LiveCodeBench, demonstrating enhanced problem-solving and knowledge retention. It runs at 20 tokens per second on a Mac Studio, showcasing its efficiency. With its MIT license, DeepSeek-V3-0324 is freely available for commercial use, and it can run directly on consumer-grade hardware. DeepSeek's advancements signal a shift in the AI sector, as open-source frameworks increasingly compete with closed systems, offering developers a powerful and adaptable tool.
Recommended read:
References :
- The Algorithmic Bridge: This article mentions DeepSeek V3 update among other AI-related topics, providing a broader context for the DeepSeek release.
- venturebeat.com: DeepSeek-V3 now runs at 20 tokens per second on Mac Studio, and that’s a nightmare for OpenAI
- AI News: DeepSeek V3-0324 tops non-reasoning AI models in open-source first
- Analytics Vidhya: DeepSeek V3 developed by the Chinese AI research lab DeepSeek under High-Flyer has been a standout in the AI landscape since its initial open-source release in December 2024.
- www.techradar.com: DeepSeek releases upgraded AI model with better performance at lower costs.
- SiliconANGLE: DeepSeek releases improved V3 model under MIT license
- Quinta?s weblog: DeepSeek-V3 now runs at 20 tokens per second on Mac Studio, and that’s a nightmare for OpenAI
Ryan Daws@AI News
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DeepSeek, a Chinese AI startup, is making waves in the artificial intelligence industry with its DeepSeek-V3 model. This model is demonstrating performance that rivals Western AI models like those from OpenAI and Anthropic, but at significantly lower development costs. The release of DeepSeek-V3 is seen as jumpstarting AI development across China, with other startups and established companies releasing their own advanced models, further fueling competition. This has narrowed the technology gap between China and the United States as China has adapted to and overcome international restrictions through creative approaches to AI development.
One particularly notable aspect of DeepSeek-V3 is its ability to run efficiently on consumer-grade hardware, such as the Mac Studio with an M3 Ultra chip. Reports indicate that the model achieves speeds of over 20 tokens per second on this platform, making it a potential "nightmare for OpenAI". This contrasts sharply with the data center requirements typically associated with state-of-the-art AI models. The company's focus on algorithmic efficiency has allowed them to achieve notable gains despite restricted access to the latest silicon, showcasing that Chinese AI innovation has flourished by focusing on algorithmic efficiency and novel approaches to model architecture.
Recommended read:
References :
- venturebeat.com: DeepSeek-V3 now runs at 20 tokens per second on Mac Studio, and that’s a nightmare for OpenAI
- AI News: DeepSeek disruption: Chinese AI innovation narrows global technology divide
- GZERO Media: How DeepSeek changed China’s AI ambitions
Matthias Bastian@THE DECODER
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OpenAI has released another update to its GPT-4o model in ChatGPT, delivering enhanced instruction following capabilities, particularly for prompts with multiple requests. This improvement is a significant upgrade which has also allowed it to acheive second place on the LM Arena leaderboard, only being beaten by Gemini 2.5. The update also boasts improved capabilities in handling complex technical and coding problems, alongside enhanced intuition and creativity, with the added benefit of fewer emojis in its responses.
This update, referred to as chatgpt-4o-latest, is also now available in their API, and also gives access to the model used for ChatGPT. This version is priced higher at $5/million input and $15/million output compared to the regular GPT-4o, which is priced at $2.50/$10. OpenAI plans to bring these improvements to a dated model in the API in the coming weeks, and although they released the update on Twitter, users have complained that a more suitable place for this announcement would be the OpenAI Platform Changelog.
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