{"id":1523,"date":"2025-04-10T13:13:57","date_gmt":"2025-04-10T04:13:57","guid":{"rendered":"https:\/\/www.aicritique.org\/us\/?p=1523"},"modified":"2025-04-10T13:13:57","modified_gmt":"2025-04-10T04:13:57","slug":"evolution-of-ai-models-jan-mar-2025","status":"publish","type":"post","link":"https:\/\/www.aicritique.org\/us\/2025\/04\/10\/evolution-of-ai-models-jan-mar-2025\/","title":{"rendered":"Evolution of AI Models (Jan\u2013Mar 2025)"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><em>Figure: Timeline of major AI model releases in Q1 2025 \u2013 OpenAI\u2019s GPT-4.5 (Feb 2025), DeepSeek\u2019s R1 (Jan 2025), and Google\u2019s Gemini 2.5 Pro (Mar 2025). Each model introduced key advancements: <strong>multimodal inputs<\/strong> (text+images), <strong>code reasoning<\/strong>, <strong>multilingual<\/strong> abilities, and in the case of DeepSeek R1, <strong>open-source<\/strong> accessibility. The timeline illustrates the progression from earlier models (left) to these new releases (right), highlighting the improved capabilities and broader access.<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">OpenAI GPT-4.5 (Feb 2025)<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">OpenAI\u2019s GPT-4.5, released as a research preview in late February 2025, is an improved version of GPT-4 focused on enhanced performance and flexibility\u200b <a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/openai-rolls-out-gpt-45-some-paying-users-expand-access-next-week-2025-02-27\/#:~:text=Feb%2027%20%28Reuters%29%20,access%20in%20the%20coming%20weeks\" target=\"_blank\" rel=\"noreferrer noopener\">reuters.com<\/a> <a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/openai-rolls-out-gpt-45-some-paying-users-expand-access-next-week-2025-02-27\/#:~:text=GPT,emotional%20intelligence%2C%20the%20company%20said\" target=\"_blank\" rel=\"noreferrer noopener\">reuters.com<\/a>. Notable features of GPT-4.5 include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Multimodal input<\/strong>: GPT-4.5 supports both text and image inputs (e.g. file and image uploads) for more versatile interactions\u200b<a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/openai-rolls-out-gpt-45-some-paying-users-expand-access-next-week-2025-02-27\/#:~:text=GPT,such%20as%20voice%20and%20video\" target=\"_blank\" rel=\"noreferrer noopener\">reuters.com<\/a>. This builds on GPT-4\u2019s vision capabilities and allows users to provide images alongside text prompts.<\/li>\n\n\n\n<li><strong>Strong code reasoning<\/strong>: It can handle complex writing and coding tasks, useful for code generation and debugging assistance\u200b<a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/openai-rolls-out-gpt-45-some-paying-users-expand-access-next-week-2025-02-27\/#:~:text=GPT,such%20as%20voice%20and%20video\" target=\"_blank\" rel=\"noreferrer noopener\">reuters.com<\/a>. Developers found GPT-4.5 effective on programming challenges, reflecting improved logical reasoning in code.<\/li>\n\n\n\n<li><strong>Creative and fluent outputs<\/strong>: The model shows an improved ability to recognize patterns and generate creative insights, with greater emotional intelligence in its responses\u200b<a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/openai-rolls-out-gpt-45-some-paying-users-expand-access-next-week-2025-02-27\/#:~:text=GPT,emotional%20intelligence%2C%20the%20company%20said\" target=\"_blank\" rel=\"noreferrer noopener\">reuters.com<\/a>. It produces more contextually coherent and nuanced replies.<\/li>\n\n\n\n<li><strong>Reliability improvements<\/strong>: OpenAI reduced GPT-4.5\u2019s tendency to hallucinate (fabricate incorrect facts). Its hallucination rate was measured at ~37%, significantly lower than GPT-4\u2019s ~61.8%\u200b<a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/openai-rolls-out-gpt-45-some-paying-users-expand-access-next-week-2025-02-27\/#:~:text=in%20which%20large%20language%20models,by%20its%20o1%20reasoning%20model\" target=\"_blank\" rel=\"noreferrer noopener\">reuters.com<\/a>, indicating a more grounded model.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">GPT-4.5 remained a proprietary model (accessible via OpenAI\u2019s API and ChatGPT Pro), not open-sourced. It was initially rolled out to ChatGPT Plus users and developers, with capacity limited by GPU availability\u200b <a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/openai-rolls-out-gpt-45-some-paying-users-expand-access-next-week-2025-02-27\/#:~:text=Microsoft,Edu%20users%20the%20following%20week\" target=\"_blank\" rel=\"noreferrer noopener\">reuters.com<\/a>. Overall, GPT-4.5 represented an evolutionary step from GPT-4, expanding multimodality and reliability in a large language model.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">DeepSeek R1 (Jan 2025)<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">DeepSeek R1, released in January 2025, marked a major milestone as an <strong>open-source<\/strong> advanced reasoning model\u200b <a href=\"https:\/\/api-docs.deepseek.com\/news\/news250120#:~:text=,o1\" target=\"_blank\" rel=\"noreferrer noopener\">api-docs.deepseek.com<\/a>. Developed by the Chinese startup DeepSeek, R1 was noteworthy for offering high-end capabilities comparable to Western proprietary models, but under an open MIT license\u200b <a href=\"https:\/\/api-docs.deepseek.com\/news\/news250120#:~:text=,o1\" target=\"_blank\" rel=\"noreferrer noopener\">api-docs.deepseek.com<\/a>. Key characteristics of DeepSeek R1 include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Reasoning-centric design<\/strong>: R1 specializes in logical inference, step-by-step problem solving, and mathematical reasoning\u200b<a href=\"https:\/\/fireworks.ai\/blog\/deepseek-r1-deepdive#:~:text=DeepSeek%20R1%20aims%20to%20make,and%20developers%20across%20the%20globe\" target=\"_blank\" rel=\"noreferrer noopener\">fireworks.ai<\/a>. Its architecture uses large-scale reinforcement learning in post-training to self-improve its reasoning strategies\u200b<a href=\"https:\/\/api-docs.deepseek.com\/news\/news250120#:~:text=%2A%20%EF%B8%8F%20DeepSeek\" target=\"_blank\" rel=\"noreferrer noopener\">api-docs.deepseek.com<\/a>. Independent benchmarks showed R1 performing on par with top models in math, code, and reasoning tasks\u200b<a href=\"https:\/\/api-docs.deepseek.com\/news\/news250120#:~:text=%2A%20Large\" target=\"_blank\" rel=\"noreferrer noopener\">api-docs.deepseek.com<\/a>.<\/li>\n\n\n\n<li><strong>Code generation and problem-solving<\/strong>: Like GPT-4.5, DeepSeek R1 is adept at coding challenges and complex problem breakdowns. It can generate sophisticated code and tackle advanced scientific questions using chain-of-thought reasoning\u200b<a href=\"https:\/\/fireworks.ai\/blog\/deepseek-r1-deepdive#:~:text=DeepSeek%20R1%20excels%20at%20tasks,refine%20reasoning%20strategies%20over%20time\" target=\"_blank\" rel=\"noreferrer noopener\">fireworks.ai<\/a>.<\/li>\n\n\n\n<li><strong>Open-source accessibility<\/strong>: Unlike the closed models from OpenAI and Google, R1\u2019s weights and code were released under an MIT License, encouraging community use and adaptation\u200b<a href=\"https:\/\/api-docs.deepseek.com\/news\/news250120#:~:text=,o1\" target=\"_blank\" rel=\"noreferrer noopener\">api-docs.deepseek.com<\/a>\u200b<a href=\"https:\/\/api-docs.deepseek.com\/news\/news250120#:~:text=\" target=\"_blank\" rel=\"noreferrer noopener\">api-docs.deepseek.com<\/a>. This open-source model democratized access to cutting-edge AI, allowing researchers and developers globally to fine-tune and deploy it without restriction.<\/li>\n\n\n\n<li><strong>Multilingual potential<\/strong>: R1 was primarily optimized for English reasoning tasks at launch. DeepSeek signaled plans for the next model (R2) to extend reasoning to languages beyond English\u200b<a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/deepseek-rushes-launch-new-ai-model-china-goes-all-2025-02-25\/#:~:text=Deepseek%20had%20planned%20to%20release,them%20said%2C%20without%20providing%20specifics\" target=\"_blank\" rel=\"noreferrer noopener\">reuters.com<\/a>, highlighting the push for multilingual fluency. Even so, R1\u2019s open design meant the community could train or translate it for other languages over time.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">DeepSeek R1\u2019s release was significant in that it <strong>challenged the major players<\/strong> by providing an advanced, cost-effective AI model openly\u200b <a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/deepseek-rushes-launch-new-ai-model-china-goes-all-2025-02-25\/#:~:text=The%20Chinese%20startup%20triggered%20a,that%20outperformed%20many%20Western%20competitors\" target=\"_blank\" rel=\"noreferrer noopener\">reuters.com<\/a> <a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/deepseek-rushes-launch-new-ai-model-china-goes-all-2025-02-25\/#:~:text=Rivals%20are%20still%20digesting%20the,tech%20giants\" target=\"_blank\" rel=\"noreferrer noopener\">reuters.com<\/a>. Its emergence spurred competition and innovation, and was quickly embraced by developers \u2013 even becoming available on platforms like Amazon\u2019s Bedrock for integration\u200b <a href=\"https:\/\/aws.amazon.com\/blogs\/aws\/deepseek-r1-models-now-available-on-aws\/#:~:text=DeepSeek,Oregon%29%20AWS%20Regions\" target=\"_blank\" rel=\"noreferrer noopener\">aws.amazon.com<\/a>. R1 underscored a trend toward openness and collaboration in AI evolution.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Google Gemini 2.5 Pro (Mar 2025)<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Google\u2019s Gemini 2.5 Pro, introduced in late March 2025, is a state-of-the-art AI model that pushed the frontier in both capability and scale\u200b <a href=\"https:\/\/blog.google\/technology\/google-deepmind\/gemini-model-thinking-updates-march-2025\/#:~:text=Introducing%20Gemini%202\" target=\"_blank\" rel=\"noreferrer noopener\">blog.google<\/a>. Part of Google DeepMind\u2019s Gemini series, 2.5 Pro is described as a \u201c<strong>thinking<\/strong>\u201d model with advanced reasoning built-in\u200b <a href=\"https:\/\/blog.google\/technology\/google-deepmind\/gemini-model-thinking-updates-march-2025\/#:~:text=Gemini%202,enhanced%20performance%20and%20improved%20accuracy\" target=\"_blank\" rel=\"noreferrer noopener\">blog.google<\/a> <a href=\"https:\/\/blog.google\/technology\/google-deepmind\/gemini-model-thinking-updates-march-2025\/#:~:text=Now%2C%20with%20Gemini%202,aware%20agents\" target=\"_blank\" rel=\"noreferrer noopener\">blog.google<\/a>. Its notable features include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Native multimodality<\/strong>: Gemini 2.5 Pro can process multiple types of input \u2013 not just text, but also images, and even audio or video in this generation\u200b<a href=\"https:\/\/medium.com\/towards-agi\/q1-2025-ai-recap-from-gemini-to-grok-c9304f94625e#:~:text=Google%E2%80%99s%20Gemini%202,term%20memory\" target=\"_blank\" rel=\"noreferrer noopener\">medium.com<\/a>. This multimodal ability, combined with an enormous <strong>context window of up to 1 million tokens<\/strong>, allows it to handle very large documents or long conversations and diverse data formats\u200b<a href=\"https:\/\/blog.google\/technology\/google-deepmind\/gemini-model-thinking-updates-march-2025\/#:~:text=Gemini%202,and%20handle%20complex%20problems%20from\" target=\"_blank\" rel=\"noreferrer noopener\">blog.google<\/a>\u200b<a href=\"https:\/\/medium.com\/towards-agi\/q1-2025-ai-recap-from-gemini-to-grok-c9304f94625e#:~:text=Google%E2%80%99s%20Gemini%202,term%20memory\" target=\"_blank\" rel=\"noreferrer noopener\">medium.com<\/a>.<\/li>\n\n\n\n<li><strong>Chain-of-thought reasoning<\/strong>: The model \u201creasons through its thoughts before responding,\u201d meaning it can internally generate and evaluate step-by-step solutions\u200b<a href=\"https:\/\/blog.google\/technology\/google-deepmind\/gemini-model-thinking-updates-march-2025\/#:~:text=Gemini%202,enhanced%20performance%20and%20improved%20accuracy\" target=\"_blank\" rel=\"noreferrer noopener\">blog.google<\/a>. This yields highly accurate and context-aware answers on complex tasks. It achieved top-tier performance on challenging benchmarks (e.g. leading in math and science tasks like GPQA and AIME 2025) without needing extra techniques like majority voting\u200b<a href=\"https:\/\/blog.google\/technology\/google-deepmind\/gemini-model-thinking-updates-march-2025\/#:~:text=Enhanced%20reasoning\" target=\"_blank\" rel=\"noreferrer noopener\">blog.google<\/a>\u200b<a href=\"https:\/\/medium.com\/towards-agi\/q1-2025-ai-recap-from-gemini-to-grok-c9304f94625e#:~:text=reason%20through%20complex%20problems%20before,term%20memory\" target=\"_blank\" rel=\"noreferrer noopener\">medium.com<\/a>.<\/li>\n\n\n\n<li><strong>Strong coding capabilities<\/strong>: Gemini 2.5 Pro excels at code-related tasks. Google reported it set a high score (63.8%) on the SWE-Bench coding challenge, indicating proficiency in generating correct, functional code\u200b<a href=\"https:\/\/medium.com\/towards-agi\/q1-2025-ai-recap-from-gemini-to-grok-c9304f94625e#:~:text=The%20model%20shines%20in%20math,cornerstone%20of%20Q1%202025%E2%80%99s%20AI\" target=\"_blank\" rel=\"noreferrer noopener\">medium.com<\/a>. Demonstrations showed it creating interactive simulations and web apps from simple prompts, showcasing its ability to integrate reasoning with coding\u200b<a href=\"https:\/\/deepmind.google\/technologies\/gemini\/pro\/#:~:text=match%20at%20L462%20Gemini%202,of%20benchmarks%20requiring%20enhanced%20reasoning\" target=\"_blank\" rel=\"noreferrer noopener\">deepmind.google<\/a>\u200b<a href=\"https:\/\/deepmind.google\/technologies\/gemini\/pro\/#:~:text=Watch%20Gemini%202,from%20a%20single%20line%20prompt\" target=\"_blank\" rel=\"noreferrer noopener\">deepmind.google<\/a>.<\/li>\n\n\n\n<li><strong>High-quality language fluency<\/strong>: As a flagship Google model, Gemini is trained on a broad multilingual corpus. It can converse or answer questions in multiple languages (a core strength of its predecessor Gemini 2.0 as well), making it <strong>multilingually fluent<\/strong> for global users. (For example, earlier Gemini versions were noted for strong performance on diverse language tasks\u200b<a href=\"https:\/\/lunabot.ai\/en\/models#:~:text=Explore%20the%20history%20of%20AI,their%20releases%20and%20their%20features\" target=\"_blank\" rel=\"noreferrer noopener\">lunabot.ai<\/a>.)<\/li>\n\n\n\n<li><strong>Proprietary deployment<\/strong>: While extremely powerful, Gemini 2.5 Pro remains a closed model available through Google\u2019s services (Google AI Studio, Gemini app, Vertex AI) rather than open-source\u200b<a href=\"https:\/\/blog.google\/technology\/google-deepmind\/gemini-model-thinking-updates-march-2025\/#:~:text=leading%20on%20common%20coding%2C%20math,and%20science%20benchmarks\" target=\"_blank\" rel=\"noreferrer noopener\">blog.google<\/a>. Google provides API access for developers to use Gemini, but the model weights are not publicly released.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Gemini 2.5 Pro debuted at the top of human preference leaderboards like LMArena, outperforming other leading models including OpenAI\u2019s latest\u200b <a href=\"https:\/\/blog.google\/technology\/google-deepmind\/gemini-model-thinking-updates-march-2025\/#:~:text=Introducing%20Gemini%202\" target=\"_blank\" rel=\"noreferrer noopener\">blog.google<\/a>. Its introduction signified a leap in AI capabilities \u2013 combining <strong>multimodal understanding, advanced reasoning, and coding skill<\/strong> in one system. This model exemplifies the rapid progression in early 2025, as companies raced to build more general and powerful AI.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Key Trends in Early 2025<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">In the first quarter of 2025, AI model development accelerated with a few clear trends:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Multimodal and Beyond<\/strong>: Both OpenAI and Google released models (GPT-4.5 and Gemini 2.5) that handle more than just text \u2013 integrating images (and in Gemini\u2019s case audio\/video) into their understanding. This reflects a move toward truly general AI that can take in the same modalities humans do.<\/li>\n\n\n\n<li><strong>Reasoning and Coding Improvements<\/strong>: All three major models placed emphasis on reasoning abilities and coding. Gemini\u2019s chain-of-thought and GPT-4.5\u2019s pattern recognition improvements led to better problem-solving performance\u200b<a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/openai-rolls-out-gpt-45-some-paying-users-expand-access-next-week-2025-02-27\/#:~:text=GPT,emotional%20intelligence%2C%20the%20company%20said\" target=\"_blank\" rel=\"noreferrer noopener\">reuters.com<\/a>\u200b<a href=\"https:\/\/blog.google\/technology\/google-deepmind\/gemini-model-thinking-updates-march-2025\/#:~:text=Enhanced%20reasoning\" target=\"_blank\" rel=\"noreferrer noopener\">blog.google<\/a>. DeepSeek R1 similarly focused on logical inference and even allowed the AI community to inspect and build on these reasoning techniques\u200b<a href=\"https:\/\/fireworks.ai\/blog\/deepseek-r1-deepdive#:~:text=DeepSeek%20R1%20aims%20to%20make,and%20developers%20across%20the%20globe\" target=\"_blank\" rel=\"noreferrer noopener\">fireworks.ai<\/a>. Coding capability became a standard benchmark \u2013 from GPT-4.5\u2019s coding projects to R1\u2019s code benchmarks and Gemini\u2019s software generation, showing that writing code is now a core competency of cutting-edge models\u200b<a href=\"https:\/\/fireworks.ai\/blog\/deepseek-r1-deepdive#:~:text=DeepSeek%20R1%20excels%20at%20tasks,refine%20reasoning%20strategies%20over%20time\" target=\"_blank\" rel=\"noreferrer noopener\">fireworks.ai<\/a>\u200b<a href=\"https:\/\/medium.com\/towards-agi\/q1-2025-ai-recap-from-gemini-to-grok-c9304f94625e#:~:text=The%20model%20shines%20in%20math,cornerstone%20of%20Q1%202025%E2%80%99s%20AI\" target=\"_blank\" rel=\"noreferrer noopener\">medium.com<\/a>.<\/li>\n\n\n\n<li><strong>Accessibility and Ecosystem<\/strong>: A major development was the contrast in accessibility. DeepSeek R1\u2019s open-source release <a href=\"https:\/\/api-docs.deepseek.com\/news\/news250120#:~:text=,o1\" target=\"_blank\" rel=\"noreferrer noopener\">api-docs.deepseek.com<\/a> broadened AI access and spurred open innovation, while OpenAI and Google continued with large proprietary models offered via cloud APIs. This dual approach \u2013 open models (fostering community-driven progress) versus closed models (integrated into tech giants\u2019 platforms) \u2013 defined the AI landscape in 2025.<\/li>\n\n\n\n<li><strong>Performance Leap<\/strong>: Each model raised the bar in some way. GPT-4.5 improved reliability (fewer hallucinations) and maintained strong multilingual fluency and creativity\u200b<a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/openai-rolls-out-gpt-45-some-paying-users-expand-access-next-week-2025-02-27\/#:~:text=in%20which%20large%20language%20models,by%20its%20o1%20reasoning%20model\" target=\"_blank\" rel=\"noreferrer noopener\">reuters.com<\/a>. R1 demonstrated that top-tier performance is achievable even with smaller compute budgets by clever training (it shocked the industry by matching more expensive models)\u200b<a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/deepseek-rushes-launch-new-ai-model-china-goes-all-2025-02-25\/#:~:text=The%20Chinese%20startup%20triggered%20a,that%20outperformed%20many%20Western%20competitors\" target=\"_blank\" rel=\"noreferrer noopener\">reuters.com<\/a>\u200b<a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/deepseek-rushes-launch-new-ai-model-china-goes-all-2025-02-25\/#:~:text=Rivals%20are%20still%20digesting%20the,tech%20giants\" target=\"_blank\" rel=\"noreferrer noopener\">reuters.com<\/a>. Gemini 2.5 Pro set new state-of-the-art levels on many benchmarks, indicating the rapid pace of advancement\u200b<a href=\"https:\/\/blog.google\/technology\/google-deepmind\/gemini-model-thinking-updates-march-2025\/#:~:text=Introducing%20Gemini%202\" target=\"_blank\" rel=\"noreferrer noopener\">blog.google<\/a>\u200b<a href=\"https:\/\/medium.com\/towards-agi\/q1-2025-ai-recap-from-gemini-to-grok-c9304f94625e#:~:text=reason%20through%20complex%20problems%20before,term%20memory\" target=\"_blank\" rel=\"noreferrer noopener\">medium.com<\/a>. The timeline from January to March 2025 thus shows a <strong>significant evolution<\/strong> from already powerful 2024 models to even more capable and feature-rich 2025 models.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Overall, the period of January\u2013March 2025 was transformative in the AI field. The releases of GPT-4.5, DeepSeek R1, and Gemini 2.5 Pro illustrate how AI models were becoming more <strong>versatile<\/strong> (handling images and code), more <strong>intelligent<\/strong> in reasoning, and more <strong>widely available<\/strong> \u2013 either through open source or broad cloud deployment. This evolution set the stage for further breakthroughs, with each model learning from the successes and shortcomings of its predecessors, propelling AI toward greater heights.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Sources:<\/strong> The information and statistics above are sourced from official announcements and reports on each model. OpenAI\u2019s statements on GPT-4.5\u2019s features and performance were reported by Reuters\u200b <a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/openai-rolls-out-gpt-45-some-paying-users-expand-access-next-week-2025-02-27\/#:~:text=Feb%2027%20%28Reuters%29%20,access%20in%20the%20coming%20weeks\" target=\"_blank\" rel=\"noreferrer noopener\">reuters.com<\/a> <a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/openai-rolls-out-gpt-45-some-paying-users-expand-access-next-week-2025-02-27\/#:~:text=GPT,such%20as%20voice%20and%20video\" target=\"_blank\" rel=\"noreferrer noopener\">reuters.com<\/a>. Details on DeepSeek R1 come from DeepSeek\u2019s release notes and coverage in Reuters, highlighting its open-source license and technical capabilities\u200b <a href=\"https:\/\/api-docs.deepseek.com\/news\/news250120#:~:text=,o1\" target=\"_blank\" rel=\"noreferrer noopener\">api-docs.deepseek.com<\/a> <a href=\"https:\/\/fireworks.ai\/blog\/deepseek-r1-deepdive#:~:text=DeepSeek%20R1%20aims%20to%20make,and%20developers%20across%20the%20globe\" target=\"_blank\" rel=\"noreferrer noopener\">fireworks.ai<\/a>. Google\u2019s Gemini 2.5 Pro features and benchmark results are drawn from Google\u2019s blog and a Q1 2025 AI recap, which describe its multimodal input, 1M-token context, and top-tier reasoning\/coding performance\u200b <a href=\"https:\/\/medium.com\/towards-agi\/q1-2025-ai-recap-from-gemini-to-grok-c9304f94625e#:~:text=Google%E2%80%99s%20Gemini%202,term%20memory\" target=\"_blank\" rel=\"noreferrer noopener\">medium.com<\/a> <a href=\"https:\/\/blog.google\/technology\/google-deepmind\/gemini-model-thinking-updates-march-2025\/#:~:text=Enhanced%20reasoning\" target=\"_blank\" rel=\"noreferrer noopener\">blog.google<\/a>. These models collectively demonstrate the rapid progression of AI at the start of 2025.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/www.google.com\/s2\/favicons?domain=https:\/\/blog.google&amp;sz=32\" alt=\"Favicon\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/www.google.com\/s2\/favicons?domain=https:\/\/aws.amazon.com&amp;sz=32\" alt=\"Favicon\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/www.google.com\/s2\/favicons?domain=https:\/\/fireworks.ai&amp;sz=32\" alt=\"Favicon\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/www.google.com\/s2\/favicons?domain=https:\/\/api-docs.deepseek.com&amp;sz=32\" alt=\"Favicon\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/www.google.com\/s2\/favicons?domain=https:\/\/www.reuters.com&amp;sz=32\" alt=\"Favicon\"\/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Sources<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Figure: Timeline of major AI model releases in Q1 2025 \u2013 OpenAI\u2019s GPT-4.5 (Feb 2025), DeepSeek\u2019s R1 (Jan 2025), and Google\u2019s Gemini 2.5 Pro (Mar 2025). Each model introduced key advancements: multimodal inputs (text+images), code reasoning, multilingual abilities, and in&hellip;<\/p>\n","protected":false},"author":4,"featured_media":1524,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8,3],"tags":[],"class_list":["post-1523","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-generativeai","category-llm"],"_links":{"self":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/posts\/1523","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/comments?post=1523"}],"version-history":[{"count":1,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/posts\/1523\/revisions"}],"predecessor-version":[{"id":1525,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/posts\/1523\/revisions\/1525"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/media\/1524"}],"wp:attachment":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/media?parent=1523"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/categories?post=1523"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/tags?post=1523"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}