HomeDeepSeek's New Open-Source AI Model Outperforms O1 at a Fraction of the Cost
Open-Source AI Reaches New Heights with DeepSeek's R1
The landscape of artificial intelligence is shifting, and open-source AI is at the forefront of this transformation. DeepSeek, a Chinese AI lab, has just released R1, the complete version of its latest open-source reasoning model. Initially previewed in November, R1 has now been fully launched, showcasing performance that either matches or surpasses OpenAI's o1 across various benchmarks in math, coding, and reasoning.
Interestingly, it took just $450 and 19 hours for UC Berkeley researchers to create an open-source model on par with o1-preview, signaling a significant democratization in AI development. R1, while taking longer to respond than some other models, aims for more sophisticated and accurate answers. Alongside the flagship 671-billion-parameter model, DeepSeek has introduced six smaller "distilled" versions, starting at 1.5 billion parameters, which can be operated on local devices.
🚀 DeepSeek-R1 is here!
⚡ Performance on par with OpenAI-o1
📖 Fully open-source model & technical report
🏆 MIT licensed: Distill & commercialize freely!
🌐 Website & API are live now! Try DeepThink at https://t.co/v1TFy7LHNy today!
🐋 1/n pic.twitter.com/7BlpWAPu6y
— DeepSeek (@deepseek_ai) January 20, 2025
DeepSeek's announcement on Twitter was met with excitement: "Pushing the boundaries of **open AI**!" This release not only showcases the potential of open-source AI but also marks a trend where more labs are achieving results comparable to industry leaders like OpenAI.
Pricing That Challenges the Status Quo
R1's pricing model is set to challenge OpenAI's dominance. API access to R1 starts at just $0.14 per million tokens, processing about 750,000 words, a stark contrast to OpenAI's $7.50 for an equivalent tier. Meanwhile, OpenAI offers unlimited access to o1 for $2,400 annually through ChatGPT Pro.
The ability of multiple labs to develop competitive models at a lower cost underscores that high-quality AI doesn't have to break the bank. The open-source approaches by DeepSeek and UC Berkeley, coupled with their transparent training methods, echo back to OpenAI's initial mission, which seems to have drifted over time.
Navigating Limitations
Despite its strengths, R1 does come with limitations. As a product of a Chinese company, it is subject to government censorship, which might restrict its responses compared to o1. When tested by ZDNET's Tiernan Ray, the R1-preview version struggled to articulate its reasoning process as clearly as o1-preview, resulting in what Ray described as a "baffling and tedious" experience.
As OpenAI gears up to launch its next-generation model, o3, users can explore R1 under an MIT license, interact with the model at chat.deepseek.com, and leverage the API for their projects. This development in open-source AI not only broadens the field but also invites a reevaluation of what's possible in AI development and accessibility.
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Comments (22)
0/500
![FrankSanchez]()
DeepSeek's R1 is a game-changer! Open-source AI beating a closed model like O1 at a fraction of the cost? That's wild. Wonder if this will force big labs to rethink their pricing strategies. 🚀
![RyanAnderson]()
Wow, DeepSeek R1 beating O1 at a fraction of the cost? That's a game-changer for open-source AI! Makes you wonder how this will shake up the big players' pricing models. Exciting times ahead for developers on a budget! 🚀
![WilliamYoung]()
Als Entwickler, der schon mit einigen Open-Source-Modellen gearbeitet hat, finde ich die Nachricht von DeepSeek R1 wirklich spannend. Dass ein kostenloses Modell proprietäre Lösungen wie O1 in Sachen Reasoning übertreffen kann, ist ein echter Game-Changer für die Community. Das könnte den Druck auf die großen Player wie OpenAI und Anthropic erhöhen, ihre Preise zu senken oder mehr zu öffnen. Ich bin gespannt, wie sich das auf die praktische Anwendung auswirkt – vielleicht wird KI-Integration für kleinere Projekte jetzt viel realistischer. Hoffentlich bleibt die Qualität bei größeren Skalierungen erhalten. 🚀
![LawrenceJones]()
¡Qué pasada! 🤯 Ya me había quedado claro lo mucho que estaban avanzando los modelos open-source, pero esto es una auténtica revolución si DeepSeek R1 supera a O1 con tan solo una fracción del coste. Me pregunto cómo afectará esto a la estrategia de los grandes como OpenAI... ¿Se verán obligados a bajar precios o a abrir más sus modelos? Al final, la verdadera innovación viene de la comunidad. ¡Bravo por el equipo de DeepSeek! 👏
![WillCarter]()
Этот прорыв от DeepSeek действительно меняет правила игры! 🤯 Открытые ИИ-модели, превосходящие дорогие коммерческие решения за небольшую цену - это как демократизация искусственного интеллекта. Интересно, как это повлияет на рынок - крупные компании теперь будут вынуждены пересмотреть свои стратегии ценообразования. Кстати, а когда ожидается выпуск моделей для русского языка?
![RalphSanchez]()
DeepSeek의 오픈소스 모델이 경쟁사보다 저렴한 가격에 더 나은 성능을 보여준다니 인상적이네요. 한국 스타트업들도 비용 문제 때문에 AI 개발에 어려움을 겪는데, 이런 오픈소스 솔루션이 더 많아지면 좋겠어요! 👍
Open-Source AI Reaches New Heights with DeepSeek's R1
The landscape of artificial intelligence is shifting, and open-source AI is at the forefront of this transformation. DeepSeek, a Chinese AI lab, has just released R1, the complete version of its latest open-source reasoning model. Initially previewed in November, R1 has now been fully launched, showcasing performance that either matches or surpasses OpenAI's o1 across various benchmarks in math, coding, and reasoning.
Interestingly, it took just $450 and 19 hours for UC Berkeley researchers to create an open-source model on par with o1-preview, signaling a significant democratization in AI development. R1, while taking longer to respond than some other models, aims for more sophisticated and accurate answers. Alongside the flagship 671-billion-parameter model, DeepSeek has introduced six smaller "distilled" versions, starting at 1.5 billion parameters, which can be operated on local devices.
🚀 DeepSeek-R1 is here!
— DeepSeek (@deepseek_ai) January 20, 2025
⚡ Performance on par with OpenAI-o1
📖 Fully open-source model & technical report
🏆 MIT licensed: Distill & commercialize freely!
🌐 Website & API are live now! Try DeepThink at https://t.co/v1TFy7LHNy today!
🐋 1/n pic.twitter.com/7BlpWAPu6y
DeepSeek's announcement on Twitter was met with excitement: "Pushing the boundaries of **open AI**!" This release not only showcases the potential of open-source AI but also marks a trend where more labs are achieving results comparable to industry leaders like OpenAI.
Pricing That Challenges the Status Quo
R1's pricing model is set to challenge OpenAI's dominance. API access to R1 starts at just $0.14 per million tokens, processing about 750,000 words, a stark contrast to OpenAI's $7.50 for an equivalent tier. Meanwhile, OpenAI offers unlimited access to o1 for $2,400 annually through ChatGPT Pro.
The ability of multiple labs to develop competitive models at a lower cost underscores that high-quality AI doesn't have to break the bank. The open-source approaches by DeepSeek and UC Berkeley, coupled with their transparent training methods, echo back to OpenAI's initial mission, which seems to have drifted over time.
Navigating Limitations
Despite its strengths, R1 does come with limitations. As a product of a Chinese company, it is subject to government censorship, which might restrict its responses compared to o1. When tested by ZDNET's Tiernan Ray, the R1-preview version struggled to articulate its reasoning process as clearly as o1-preview, resulting in what Ray described as a "baffling and tedious" experience.
As OpenAI gears up to launch its next-generation model, o3, users can explore R1 under an MIT license, interact with the model at chat.deepseek.com, and leverage the API for their projects. This development in open-source AI not only broadens the field but also invites a reevaluation of what's possible in AI development and accessibility.
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DeepSeek's R1 is a game-changer! Open-source AI beating a closed model like O1 at a fraction of the cost? That's wild. Wonder if this will force big labs to rethink their pricing strategies. 🚀
Wow, DeepSeek R1 beating O1 at a fraction of the cost? That's a game-changer for open-source AI! Makes you wonder how this will shake up the big players' pricing models. Exciting times ahead for developers on a budget! 🚀
Als Entwickler, der schon mit einigen Open-Source-Modellen gearbeitet hat, finde ich die Nachricht von DeepSeek R1 wirklich spannend. Dass ein kostenloses Modell proprietäre Lösungen wie O1 in Sachen Reasoning übertreffen kann, ist ein echter Game-Changer für die Community. Das könnte den Druck auf die großen Player wie OpenAI und Anthropic erhöhen, ihre Preise zu senken oder mehr zu öffnen. Ich bin gespannt, wie sich das auf die praktische Anwendung auswirkt – vielleicht wird KI-Integration für kleinere Projekte jetzt viel realistischer. Hoffentlich bleibt die Qualität bei größeren Skalierungen erhalten. 🚀
¡Qué pasada! 🤯 Ya me había quedado claro lo mucho que estaban avanzando los modelos open-source, pero esto es una auténtica revolución si DeepSeek R1 supera a O1 con tan solo una fracción del coste. Me pregunto cómo afectará esto a la estrategia de los grandes como OpenAI... ¿Se verán obligados a bajar precios o a abrir más sus modelos? Al final, la verdadera innovación viene de la comunidad. ¡Bravo por el equipo de DeepSeek! 👏
Этот прорыв от DeepSeek действительно меняет правила игры! 🤯 Открытые ИИ-модели, превосходящие дорогие коммерческие решения за небольшую цену - это как демократизация искусственного интеллекта. Интересно, как это повлияет на рынок - крупные компании теперь будут вынуждены пересмотреть свои стратегии ценообразования. Кстати, а когда ожидается выпуск моделей для русского языка?
DeepSeek의 오픈소스 모델이 경쟁사보다 저렴한 가격에 더 나은 성능을 보여준다니 인상적이네요. 한국 스타트업들도 비용 문제 때문에 AI 개발에 어려움을 겪는데, 이런 오픈소스 솔루션이 더 많아지면 좋겠어요! 👍
