OpenAI Launches o3-pro: A New Benchmark in AI Reasoning Models

With the launch of o3-pro, let's talk about what AI "reasoning" actually does

On Tuesday, OpenAI announced that o3-pro, a new version of its most capable simulated reasoning model, is now available to ChatGPT Pro and Team users, replacing o1-pro in the model picker. The company also reduced API pricing for o3-pro by 87 percent compared to o1-pro while cutting o3 prices by 80 percent. While "reasoning" is useful for some analytical tasks, new studies have posed fundamental questions about what the word actually means when applied to these AI systems. We'll take a deeper look at "reasoning" in a minute, but first, let's examine what's new. While OpenAI originally launched o3 (non-pro) in April, the o3-pro model focuses on mathematics, science, and coding while adding new capabilities like web search, file analysis, image analysis, and Python execution. Since these tool integrations slow response times (longer than the already slow o1-pro), OpenAI recommends using the model for complex problems where accuracy matters more than speed. However, they do not necessarily confabulate less than "non-reasoning" AI models (they still introduce factual errors), which is a significant caveat when seeking accurate results. Beyond the reported performance improvements, OpenAI announced a substantial price reduction for developers. O3-pro costs $20 per million input tokens and $80 per million output tokens in the API, making it 87 percent cheaper than o1-pro. The company also reduced the price of the standard o3 model by 80 percent. These reductions address one of the main concerns with reasoning models -- their high cost compared to standard models. The original o1 cost $15 per million input tokens and $60 per million output tokens, while o3-mini cost $1.10 per million input tokens and $4.40 per million output tokens.

OpenAI releases o3-pro, a souped-up version of its o3 AI reasoning model | TechCrunch

OpenAI has launched o3-pro, an AI model that the company claims is its most capable yet. O3-pro is a version of OpenAI's o3, a reasoning model that the startup launched earlier this year. As opposed to conventional AI models, reasoning models work through problems step by step, enabling them to perform more reliably in domains like physics, math, and coding. O3-pro is available for ChatGPT Pro and Team users starting Tuesday, replacing the o1-pro model. Enterprise and Edu users will get access the week after, OpenAI says. O3-pro is also live in OpenAI's developer API as of this afternoon. O3-pro is priced at $20 per million input tokens and $80 per million output tokens in the API. Input tokens are tokens fed into the model, while output tokens are tokens that the model generates based on the input tokens. A million input tokens is equivalent to about 750,000 words, a bit longer than "War and Peace." "In expert evaluations, reviewers consistently prefer o3-pro over o3 in every tested category and especially in key domains like science, education, programming, business, and writing help," OpenAI writes in a changelog. "Reviewers also rated o3-pro consistently higher for clarity, comprehensiveness, instruction-following, and accuracy." O3-pro has access to tools, according to OpenAI, allowing it to search the web, analyze files, reason about visual inputs, use Python, personalize its responses leveraging memory, and more. As a drawback, the model's responses typically take longer than o1-pro to complete, according to OpenAI. O3-pro has other limitations. Temporary chats in ChatGPT are temporarily disabled while OpenAI resolves a "technical issue," the company says. O3-pro can't generate images. And Canvas, OpenAI's AI-powered workspace feature, isn't supported by o3-pro. On the plus side, o3-pro achieves impressive scores in popular AI benchmarks, according to OpenAI's internal testing. On AIME 2024, which evaluates a model's math skills, o3-pro scores better than Google's top-performing AI model, Gemini 2.5 Pro. O3-pro also beats Anthropic's recently released Claude 4 Opus on GPQA Diamond, a test of PhD-level science knowledge.

OpenAI Launches Improved Version of Latest Reasoning Model. Here's What It's Best For

Expertise Artificial intelligence, home energy, heating and cooling, home technology. OpenAI this week announced an improved version of its o3 generative AI reasoning model, saying it performed better on benchmarks and is designed to spend more time thinking on difficult problems. The new model, called o3-pro, is now available for Pro and Team users in ChatGPT and API users, and will come to Enterprise and Edu users next week. In its release notes, OpenAI said the model is similar to o1-pro, which users favored for its math, science and coding skills. It incorporates improvements from the newer o3 model, which can search the web and use more reasoning skills. "Because o3-pro has access to tools, responses typically take longer than o1-pro to complete," the company said. "We recommend using it for challenging questions where reliability matters more than speed, and waiting a few minutes is worth the tradeoff." Kevin Weil, OpenAI's chief product officer, posted on X that the company is also dropping the price of o3 in the API by 80%, and that rate limits for o3 will be doubled for Plus users. (Disclosure: Ziff Davis, CNET's parent company, in April filed a lawsuit against OpenAI, alleging it infringed Ziff Davis copyrights in training and operating its AI systems.) OpenAI continues to build on its latest rounds of updates to its large language models, which rolled out in April. CEO Sam Altman has teased the larger release of an "open-weights" model, a kind of middle ground between open- and closed-source models that provides more insight into how the models work. He doubled down on that teasing this week, posting on X that it would be exptected later in the summer, but not in June. "[O]ur research team did something unexpected and quite amazing and we think it will be very very worth the wait, but needs a bit longer," he said.

OpenAI adds the o3-pro model to ChatGPT today

This option for the AI chatbot is slow, but keeps pushing the benchmarks higher. OpenAI is keeping up its rapid-fire pace of new AI releases. The company introduced the to its ChatGPT platform in April. At the time, the business promised that a pro model of the o3 was on the way, and that version became available today. Both the o3 and o4-mini models are meant to use and combine all the tools under ChatGPT's umbrella. When OpenAI adds the "pro" designation to a model, it's a version that has been built to spend longer answering queries to provide better and more accurate responses. "We recommend using it for challenging questions where reliability matters more than speed, and waiting a few minutes is worth the tradeoff," the company in the release notes for the o3-pro. In the testing assessments shared, the o3-pro delivered better benchmarks than the o3 and the o1-pro options. There are some restrictions on the other ChatGPT services the o3-pro can use. Image generation and Canvas are not supported, so users will need to turn to different models for those features. The o3-pro is available today for ChatGPT Pro and Team users, while Enterprise and Edu customers will have access to this option next week.

o3-pro: OpenAI releases its most capable reasoning AI model yet

The battle between Large Language Models for acquiring users is heating up day by day, with all companies coming up with newer and better versions for their LLMs. OpenAI, regarded as one of the pioneers in this space, has recently launched the o3-pro, claiming that it's their most capable version for research till date. It's predecessor, o3, was launched by the company last year. AI reasoning models are opposite to conventional models, given that they work through problems step by step. This enables them to be more reliable in subjects like physics, math, and coding.

OpenAI announces 80% price drop for o3, it's most powerful reasoning model

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more OpenAI has announced a substantial price cut on o3, its flagship reasoning large language model (LMM), slashing costs by a whopping 80% for both input and output tokens. (Recall tokens are the individual numeric strings that LLMs use to represent words, phrases, mathematical and coding strings, and other content. They are representations of the semantic constructions the model has learned through training, and in essence, are the LLMs' native language. Most LLM providers offer their models through application programming interfaces or APIs that developers can build apps atop of or plug their external apps into, and most LLM providers charge them for the privilege at a cost per million tokens). The update positions the model as a more accessible option for developers seeking advanced reasoning capabilities, and places OpenAI in more direct pricing competition with rival models such as Gemini 2.5 Pro from Google DeepMind, Claude Opus 4 from Anthropic, and DeepSeek's reasoning suite. Announced by Altman himself on X Sam Altman, CEO of OpenAI, confirmed the change in a post on X highlighting that the new pricing is intended to encourage broader experimentation, writing: "we dropped the price of o3 by 80%!! excited to see what people will do with it now. think you'll also be happy with o3-pro pricing for the performance :)" The cost of using o3 is now $2 per million input tokens and $8 per million output tokens, with an extra discount of $0.50 per million tokens when the user enters information that has been "cached," or is stored and identical to what they provided before. This marks a significant reduction from the previous rates of $10 (input) and $40 (output), as OpenAI researcher Noam Brown pointed out on X. Ray Fernando, a developer and early adopter, celebrated the pricing drop in a post writing "LFG!" short for "let's fucking go!" The sentiment reflects a growing enthusiasm among builders looking to scale their projects without prohibitive model access costs. Price comparison to other rival reasoning LLMs The price adjustment comes at a time when AI providers are competing more aggressively on both performance and affordability. A comparison with other leading AI reasoning models illustrates how significant this move could be: In addition, independent third-party AI model comparison and research group Artificial Analysis ran the new o3 through its suite of benchmarking tests on various tasks, and found it cost $390 to complete them all, versus $971 for Gemini 2.5 Pro and $342 for Claude 4 Sonnet. Narrowing the cost vs. intelligence gap for developers OpenAI's pricing move not only narrows the gap with ultra-low-cost models like DeepSeek but also puts downward pressure on higher-priced offerings like Claude Opus and Gemini Pro. Unlike Claude or Gemini, OpenAI's o3 also now offers a flex mode for synchronous processing that charges $5 for input and $20 for output per million tokens, giving developers more control over compute cost and latency depending on workload type. o3 is currently available through the OpenAI API and Playground. Users with balances as low as a few dollars can now explore the model's full capabilities, enabling prototyping and deployment with fewer financial barriers. This could particularly benefit startups, research teams, and individual developers who previously found higher-tier model access cost-prohibitive. By substantially lowering the cost of its most advanced reasoning model, OpenAI is signaling a broader trend in the generative AI space: premium performance is quickly becoming more affordable, and developers now have a growing number of viable, economically scalable options.

OpenAI launches o3-pro AI model, offering increased reliability and tool use for enterprises -- while sacrificing speed

o3-pro is "designed to think longer and provide the most reliable responses," and has access to many more software tool integrations than its predecessor, making it potentially appealing to enterprises and developers searching for high levels of detail and accuracy. However, this model will also be slower than what many developers are accustomed to, having access to computer tools that OpenAI claims make the model more accurate. "Because 03-pro has access to tools, responses typically take longer than o1-pro to complete. We recommend using it for challenging questions where reliability matters more than speed, and waiting a few minutes is worth the tradeoff," the company said in an email to reporters. But how much longer? We asked OpenAI about how much slower o3-pro is than o3 on average to output responses and will update when we receive one of our own from the company. On X, Hyerbolic Labs co-founder and CTO Yuchen Jin posted several screenshots of his o3-pro usage showing it took 3 minutes and $80 worth of token to respond to the phrase, "Hi, I'm Sam Altman." Developers can access o3-pro through the OpenAI API as well as for Pro and Team users of ChatGPT. The new model version replaces o1-pro in the model picker for paying ChatGPT users. OpenAI said o3-pro "has access to tools that make ChatGPT useful," such as web search, analyzing files, reason about visual inputs, using Python, and personalize responses. The mode, though, is pricey, which may give some enterprise developers pause. Based on OpenAI's pricing page, o3-pro costs $20 per input and $80 for outputs, compared to o3 itself, which is now down to $2 and $8, a tenth of the price. A more comprehensive model OpenAI launched o3 and o4-mini in April, expanding its "o-series" of models that rely on reasoning and can "think with images." The new model, o3-pro, uses the same underlying model as o3. Evaluations conducted by OpenAI showed the o3-pro can often outperform the base model. Expert reviewers ranked o3-pro higher in domains such as science, education, programming, business, and writing help. The company said o3-pro is more effective, more comprehensive, and follows instructions better. Reasoning models have become a new battleground for model providers, with competitors like Google, Anthropic, and xAI, as well as rivals from China, such as DeepSeek, coming out with their own models designed to think through responses. Currently, o3-pro is not able to generate images, and OpenAI has disabled temporary chats to resolve a technical issue. ChatGPT's expanded workspace feature Canvas is also not yet accessible using o3-pro. Some early users claim that o3-pro has been working remarkably, but it is still early days, and the high cost of running it may deter some developers from experimenting with it. See some initial reactions below: As Ben Hyak, a former Apple Vision Pro interface designer and co-founder of startup Raindrop AI observability solutions wrote in a blog post about his early access usage of o3, "It's noticeably better at discerning what it's environment is; accurately communicating what tools it has access to, when to ask questions about the outside world (rather than pretending it has the information/access), and choosing the right tool for the job." OpenAI founder and CEO Sam Altman also highlighted Hyak's blog post in an X post. The launch also comes at a time when OpenAI said it has reached three million business users, with enterprise users surging 50% since February.

OpenAI launches new, smarter model. Meet o3-pro.

OpenAI has a new reasoning model called o3-pro that the company says is its most intelligent yet. On Tuesday the ChatGPT maker announced o3-pro on X, sharing some details on its improvement over o3. OpenAI highlighted better performance in "science, education, programming, data analysis, and writing" and also said reviewers rated it higher on "clarity, comprehensiveness, instruction-following, and accuracy." This Tweet is currently unavailable. It might be loading or has been removed. o3-pro is available in the API and to ChatGPT Pro and Team users, with Enterprise and Edu availability rolling out next week. OpenAI's o3-pro is the newest addition to its family of reasoning models, which break down tasks into steps for ostensibly more accurate and reliable responses, as opposed to conventional LLMs. In this regard, reasoning models like o3-pro are considered better for complex tasks and OpenAI says o3-pro "excels at math, science, and coding." OpenAI posted benchmark evaluations indicating o3-pro surpasses o1-pro and o3 in these areas. Researchers from Apple recently found some notable limitations in reasoning models, including OpenAI's o3-mini. When prompted to solve the classic Tower of Hanoi problem, which involves moving discs from one peg to another, the models struggled as complexity increased and even gave up despite having more computing power at their disposal. The research made waves amongst the AI community as evidence that reasoning models aren't as smart as they're hyped to be. However, experts also pointed out that the research tested a very specific problem, and it didn't compare the results of humans and reasoning models on the same problems. So, it's not a definitive conclusion that AI tools are completely overhyped, but the findings do suggest that they're not necessarily the best models for every kind of task. o3-pro has access to tools in ChatGPT, including web search, Python, visual analysis of documents, and personalized responses with memory support. But it doesn't support image generation or canvas, OpenAI's interface for working on projects, according to the release notes. Responses will also take longer because o3-pro has access to tools.

OpenAI's newest reasoning model o3-pro surpasses rivals on multiple benchmarks, but it's not very fast - SiliconANGLE

OpenAI's newest reasoning model o3-pro surpasses rivals on multiple benchmarks, but it's not very fast OpenAI is upping the ante in artificial intelligence reasoning with the launch of o3-pro today, claiming it's the most advanced model of its kind. The o3-pro model is a more powerful version of the original 03 reasoning model, which debuted earlier this year. Reasoning models are more intelligent than standard generative AI models like the GPT family, as they work through problems in a step-by-step way, carefully considering their responses to ensure they're more accurate. They're especially useful when it comes to solving problems in areas such as physics, coding and math. According to OpenAI, o3-pro will think for even longer than the original 03 model, and provide "the most reliable responses". It's helped by the fact it can access various third-party software tools to complete assigned tasks, and is designed to appeal to developers and researchers who want the highest level of detail and accuracy in their AI outputs. In its release notes detailing the new model, OpenAI said its evaluations show that reviewers "consistently prefer 03-pro over 03 in every tested category", especially in domains such as science, programming, business and education. It adds that reviewers also rated it "consistently higher" in terms of its clarity, accuracy, instruction-following and comprehensiveness. The company first launched o3 in April, and followed shortly thereafter with 04-mini, claiming that they can "think with images". It said o3-pro is based on the same model as o3, but it has been tweaked to improve its performance by making it think for longer. Reasoning models have become one of the hottest battlegrounds in the AI industry, and OpenAI is challenged here by the likes of Google LLC, Anthropic PBC and xAI Corp., as well as the Chinese startup DeepSeek Ltd., which have also developed thinking models. OpenAI said o3-pro has been given access to more tools than its earlier reasoning models, so it can browse the web for information, analyze and reason visual inputs, use the Python coding language and personalize its responses. But one of the drawbacks of this is that it takes significantly more time to come up with answers. The company admitted this, saying users will notice that its responses "typically take longer" than o1-pro. For this reason, it recommends the model for the most challenging questions "where reliability matters more than speed, and waiting a few minutes is worth the tradeoff." The responses will indeed likely take several minutes. Hyerbolic Labs Inc. co-founder and Chief Technology Officer Yuchen Jin posted on X that he had to wait more than three minutes for o3-pro to respond to the input "Hi, I'm Sam Altman": Slow responsiveness isn't the only problem users may notice with o3-pro. OpenAI said temporary chats are currently disabled due to a "technical issue" with the model, and it can't generate images either. Moreover, OpenAI's AI workspace product Canvas does not support o3-pro. However, the sheer power of o3-pro may make it worthwhile for some users. The model racked up some impressive benchmark results, surpassing Google's best reasoning model, Gemini 2.5 pro on the AIME 2024 test that measures math proficiency. It also beat Anthropic's top model Claude 4 Opus on the GPQA Diamond benchmark that evaluates PhD-level science skills. OpenAI said o3-pro is available now for all ChatGPT Pro and Team users, where it replaces the older o1-pro, which was its previous-best reasoning model. ChatGPT Enterprise and Edu subscribers will get access to the model next week, and it can also be found in the company's application programming interface for developers. But users should beware that all of the extra thinking comes at a cost - o3-pro is priced at $2- per million input tokens and $80 per million output tokens. One million tokens is equivalent to around 750,000 words, which is approximately the length of Leo Tolstoy's classic novel War and Peace. Input tokens refer to what the user inputs into the model, while output tokens are what the model spits out in response. Perhaps in order to soften the blow, OpenAI also announced today that it's slashing the cost of its o3 model by 80% for both inputs and outputs. The news came from OpenAI Chief Executive Sam Altman, who said on X that he's doing this to encourage broader experimentation with the model.

o3-pro replaces o1-pro for ChatGPT Pro and Team users

OpenAI released o3-pro on Tuesday, a new AI model based on its o3 reasoning model. The company asserts o3-pro is its most capable model to date, with availability starting for ChatGPT Pro and Team users. The new o3-pro, an enhanced version of the o3 reasoning model launched earlier this year, utilizes a step-by-step problem-solving approach, improving reliability in areas such as physics, math, and coding, unlike conventional AI models. ChatGPT Pro and Team users gained access to o3-pro on Tuesday; it replaced the o1-pro model. Enterprise and Edu users will gain access the following week, according to OpenAI. The o3-pro model is also available in OpenAI's developer API as of Tuesday afternoon. The pricing for o3-pro in the API is $20 per million input tokens and $80 per million output tokens. A million input tokens is approximately 750,000 words. OpenAI stated in a changelog that, in expert evaluations, reviewers preferred o3-pro over o3 across all tested categories, particularly in science, education, programming, business, and writing. The company added, "Reviewers also rated o3-pro consistently higher for clarity, comprehensiveness, instruction-following, and accuracy." According to OpenAI, o3-pro has access to tools that allow it to search the web, analyze files, reason about visual inputs, use Python, and personalize responses using memory. OpenAI notes a longer response time compared to o1-pro as a drawback. Temporary chats with o3-pro in ChatGPT are currently disabled due to a "technical issue." The model cannot generate images, and OpenAI's Canvas workspace feature is not supported. Internal testing by OpenAI showed that o3-pro achieved high scores on AI benchmarks. It outperformed Google's Gemini 2.5 Pro on AIME 2024, a math skills test, and surpassed Anthropic's Claude 4 Opus on GPQA Diamond, which assesses PhD-level science knowledge.

How OpenAI's New Model Can Answer 'Challenging Questions'

ChatGPT creator OpenAI has officially released o3-Pro, its most advanced AI reasoning model yet. Business leaders and others can now use the AI model within ChatGPT or to power software applications via an API. The company also announced a major pricing cut to its smaller but faster o3 model. According to an OpenAI spokesperson, o3-pro is a version of o3 that has been "designed to think longer and provide the most reliable responses." OpenAI's o-line of AI models have reasoning capabilities, meaning they can use an internal monologue to simulate the act of thinking through the best method to answer a question or solve a problem in multiple steps. Reasoning has been found to greatly improve the performance and reliability of AI models. In release notes, OpenAI says that users have favored pro-level reasoning models in "domains such as math, science, and coding." Like most of OpenAI's models, o3-pro has access to tools, which allow it to take agentic actions, such as searching the internet, analyzing external files, and executing code. OpenAI recommends using the model for "challenging questions where reliability matters more than speed, and waiting a few minutes is worth the tradeoff." It hasn't totally been smooth sailing so far. On X, several users tested out o3-pro's response time. One user posted a ChatGPT screenshot in which he sent the model a message saying "Hi, I'm Sam Altman." According to the screenshot, o3-pro spent 3 minutes and 54 seconds thinking, and then answered "Hello, Sam Altman. How can I assist you today?"

OpenAI Finally Releases O3-Pro Reasoning AI Model for Paid Users

o3-pro is capable of using web search, memory, and computer vision tools OpenAI released its o3-pro artificial intelligence (AI) model on Tuesday. Dubbed as the company's most advanced reasoning model, it is only available to the most premium tier of subscribers. The o3-pro model will be available both in ChatGPT as well as via the AI firm's application programming interface (API). The model is said to be more performant compared to o3 in subject areas such as science, education, programming, data analysis, and writing. The AI model was released just hours after OpenAI CEO Sam Altman announced an 80 percent discount in the input and output prices of o3. In a post on X (formerly known as Twitter), the official handle of OpenAI announced the rollout of the o3-pro model. Currently it is available to only ChatGPT Pro subscribers, and to developers via an API. Enterprise and Edu users will get access to it one week later. The o3-pro AI model will replace the o1-pro model in the model picker option for Pro subscribers. Notably, the flagship-tier reasoning model from the o3 family arrives nearly two months after the San Francisco-based AI firm introduced the baseline o3 and the o4-mini models. OpenAI says the latest reasoning model outperforms the non-pro variant in multiple areas. Based on internal evaluations with human testers, the company said the o3-pro achieved a 66.7 percent win rate in personal writing over the o3 model. It also achieved 62.7 percent win rate against the baseline model in computer programming. Notably, the company did not share any benchmark tests comparing the model against competitors such as Gemini 2.5 Pro or Claude Opus 4. The o3-pro AI model is also capable of tool use, and it can access tools such as web search, file analysis, computer vision with reasoning, use Python, access memory to personalise responses, and more. However, the company also highlighted that due to access to tools, the model also takes slightly longer than o1-pro to generate responses. As such, OpenAI is asking users to choose it when accuracy of an answer is more important than speed. There are some limitations with the large language model (LLM) as well. As per the OpenAI, the o3-pro model cannot generate images and does not support temporary chats or Canvas. Notably, temporary chats are disabled for the model due to a technical issue, and could be fixed soon.

OpenAI launches o3-pro model for ChatGPT Pro and Teams users

Starting Wednesday, o3-pro will be available to ChatGPT Pro and Team users, replacing the o1-pro model. Enterprise and Education users will gain access the following week. The model is also live on OpenAI's developer API. The new model can search the web, analyse files, interpret visual inputs, run Python, personalise responses using memory, and much more.OpenAI has introduced o3-pro, an AI model that the company says outperforms its previous reasoning model, o3, which was launched in April. In a post on X, OpenAI said, "In expert evaluations, reviewers consistently prefer OpenAI o3-pro over o3, highlighting its improved performance in key domains -- including science, education, programming, data analysis, and writing." "Reviewers also rated o3-pro consistently higher for clarity, comprehensiveness, instruction-following, and accuracy," the company added. Starting Wednesday, o3-pro will be available to ChatGPT Pro and Team users, replacing the o1-pro model. Enterprise and Education users will gain access the following week. The model is also live on OpenAI's developer API. The new model can search the web, analyse files, interpret visual inputs, run Python, personalise responses using memory, and much more. On assessing o3's key strengths, the company said, "We once again use our rigorous "4/4 reliability" evaluation, where a model is considered successful only if it correctly answers a question in all four attempts, not just one." However, there are currently some limitations with o3-pro:

OpenAI o3-pro Advanced o3 AI Model Now Available

OpenAI has launched o3-pro, an advanced version of its o3 model, now available via API and for Pro and Team users in ChatGPT. It replaces o1-pro in the model picker and is designed for enhanced reasoning, reliability, and performance across various domains. Pricing for o3-pro has been significantly reduced, making it more accessible for developers. The o3-pro model is specifically designed to meet the needs of users tackling intricate, multi-step challenges across a variety of fields. Its advanced reasoning capabilities enable it to excel in disciplines such as mathematics, science, programming, and creative writing. This versatility positions it as a valuable resource for professionals in education, business, and technical domains. The o3-pro model introduces significant improvements in clarity, accuracy, and adherence to instructions compared to its predecessors. These advancements make it particularly effective for tasks requiring meticulous reasoning and precision, such as technical problem-solving, detailed analysis, and creative content generation. While response times may be slightly longer due to its focus on thorough analysis, this trade-off ensures high-quality outputs suitable for demanding use cases. The model's ability to prioritize accuracy over speed reflects its emphasis on delivering reliable and actionable results. OpenAI has also placed a strong emphasis on safety in the development of o3-pro. Detailed evaluations, outlined in the o3 system card, demonstrate the model's adherence to rigorous safety standards. This transparency underscores OpenAI's commitment to responsible AI deployment, making sure users can trust the model's reliability and ethical design. Key features of o3-pro include: - Web Search Integration: Provides access to up-to-date information, making sure responses are informed and relevant. - File Analysis: Extracts insights from documents, streamlining workflows and improving efficiency. - Visual Input Reasoning: Interprets image-based queries, expanding its utility for tasks involving visual data. - Python Integration: Seamlessly integrates into coding environments, supporting developers in creating and debugging code. - Memory-Based Personalization: Adapts interactions based on user preferences and past engagements, offering a tailored experience. These features collectively make o3-pro a robust solution for users seeking reliable AI assistance across a wide range of applications. Its ability to handle complex reasoning tasks ensures it can address diverse challenges with precision and clarity. One of the standout aspects of o3-pro is its cost-effectiveness. OpenAI has significantly reduced the financial barrier for accessing advanced AI capabilities by making o3-pro 87% cheaper than the previous o1-pro model when accessed via API. Additionally, the standard o3 model has seen an 80% price reduction. This pricing strategy aligns with OpenAI's mission to provide widespread access to AI access, allowing a broader audience to use innovative technology for innovation and problem-solving. By lowering costs, OpenAI fosters greater adoption across industries, empowering organizations of all sizes to integrate AI into their operations. Key benefits of this pricing model include: - Affordability for Small Businesses: Reduces entry barriers for startups and small enterprises. - Scalability for Larger Organizations: Enables cost-effective scaling of AI-driven solutions. - Accessibility for Educators and Nonprofits: Supports educational and social initiatives by making advanced tools more attainable. This approach not only broadens the reach of AI technology but also encourages its use in diverse applications, from education to enterprise solutions. The o3-pro model is designed to cater to the diverse needs of developers, educators, and businesses. Its adaptability makes it a valuable tool across various sectors: - Education: Educators can use o3-pro to create personalized learning experiences, develop educational content, and assist students with complex problem-solving. - Business: Companies can use its capabilities for data analysis, content generation, customer support, and strategic decision-making. - Development: Developers can integrate o3-pro into applications requiring high accuracy and adaptability, such as automated coding assistants, research platforms, and workflow optimization tools. The model's API accessibility ensures seamless integration into existing workflows, enhancing productivity and allowing the development of innovative solutions. Furthermore, its memory-based personalization feature supports long-term projects and recurring tasks, making it a valuable asset for sustained use. The release of o3-pro underscores OpenAI's dedication to advancing AI technology while making sure it remains accessible to a wider audience. By combining state-of-the-art reasoning capabilities with affordability and ease of use, o3-pro sets a new benchmark for AI models. Its comprehensive feature set, coupled with a focus on reliability and safety, makes it a powerful tool for addressing complex challenges across various domains. OpenAI's commitment to transparency, as demonstrated through detailed safety evaluations and technical documentation, further enhances user confidence in the model's capabilities. For professionals and developers seeking a balance of performance, safety, and cost-effectiveness, o3-pro offers a compelling solution. Its ability to adapt to diverse needs, coupled with its affordability, positions it as a versatile tool for innovation and problem-solving. The o3-pro model represents a significant step forward in AI development, offering enhanced reasoning capabilities, improved reliability, and cost-effective access. Its versatility across industries, combined with its focus on safety and transparency, ensures it meets the needs of a broad audience. By lowering financial barriers and providing advanced features, OpenAI continues to drive the adoption of AI technology, empowering users to tackle complex challenges with confidence. Uncover more insights about Advanced reasoning in previous articles we have written.

OpenAI launches o3-pro model for high-stakes tasks By Investing.com

Investing.com -- OpenAI released its new o3-pro AI model on Tuesday, designed specifically for users who need reliable performance in complex domains like mathematics, science, and programming. o3-pro is now available to Pro users through ChatGPT and API integration, with Enterprise and Education users gaining access next week. Built on the o3 base model architecture, the new version outperforms both o3 and the earlier o1-pro in capability, according to OpenAI's academic and expert benchmarks. Internal evaluations demonstrate improvements in clarity, instruction-following, and comprehensiveness. OpenAI CEO Sam Altman expressed surprise at the model's performance, posting on X, "it is really smart! i didnt believe the win rates relative to o3 the first time i saw them." According to the company, reviewers preferred o3-pro across all tested categories including science, programming, education, business, and writing. The model's primary advantage is its enhanced reliability, particularly in OpenAI's "4/4 reliability" test, which requires correct answers to the same question across four separate trials. This consistency comes with longer response times, as o3-pro accesses more tools including web search, Python, file analysis, and memory personalization. Some features remain unavailable at launch. Temporary chats have been disabled due to unresolved issues, and unlike GPT-4o and o4-mini, o3-pro does not support image generation or the Canvas platform. The company has positioned o3-pro for users who value accuracy over speed, highlighting its suitability for fields requiring detailed, high-stakes responses. It is already replacing o1-pro in the model picker for Pro and Team account tiers. Safety specifications for o3-pro are included in the shared system card for the o3 family of models. The company has not announced when additional creative tools like image generation might be added to o3-pro. The launch strengthens OpenAI's product differentiation strategy, targeting a user base that demands not just generalized intelligence, but sustained and verifiable correctness in AI outputs. For developers and professionals, the tradeoff between speed and certainty may validate o3-pro as the platform's new default for critical tasks.