BUSTENECEN AI introduces Doubao-1.5-Pro ​​language model in 'deep thinking' mode and matches GPT 4O and Claude 3.5 Sonnet Benchmarks at 50x cheaper

Artificial intelligence (AI) is emerging rapidly, but this growth is accompanied by significant challenges. The high cost of building and deploying large-scale AI models and the difficulty of finding reliable consulting skills are central issues. Models like Opelai's GPT-4 and Anthropic's Claude have pushed the boundaries of AI, but their resource-building structures often put them out of reach for most organizations. Additionally, dealing with long-term context understanding and measuring computational performance accurately remain unsolvable challenges. These constraints highlight the need for solutions that are both cost-effective and affordable without sacrificing performance.

To face these challenges, BUTTETeTance introduced Doubao-1.5-Pro, an AI model equipped with “deep thinking” mode. The model shows performance on par with established competitors such as the GPT-4O and Claude 3.5 Sonnet while being less expensive. Its price is outstanding, at $0.022 per Million Cached Input Tokens, $0.11 per million input tokens, and $0.275 per million tokens. Not to be confused with, Doubao-1.5-pro models transport models such as Deepseek-V3 and LLAMA3.1-405b in the main benchmarks, including aiming tests. This development is part of BUTCLEANT's broader efforts to make advanced AI capabilities more accessible, reflecting the growing emphasis on cost-effective innovation in the AI ​​industry.

Highlights and Benefits

The strong performance of Doubao-1.5-Pro ​​is supported by its thoughtful design and construction. The model uses a mixed-methods (MOE) framework, which operates only a layer of its parameters during acquisition. This approach allows it to deliver dense model performance with only a fraction of the computational load. For example, 20 billion parameters were sung in Doubao-1.5-Pro ​​​​which suggests the performance of a large 140-parameter model. This functionality reduces operating costs and improves durability.

The model also includes a heterogeneous system design for FURE-TROMED operations and fFN operations, optimizing throughput and reducing latency. In addition, extended Windows with up to 32,000 tokens can process long form text, making it an important tool for applications such as legal document analysis, academic research, and customer service.

Results and insights

Performance data is a collection that highlights Doubao-1.5-Pro's Competitiotions from an AI perspective. It measures up to the GPT-4O in benchmark tasks and outperforms previous models, including the O1 and O1 preview, on benchmarks like AIME. Its cost-effectiveness is another key advantage, with operating costs 5x lower than Deentiseeek and more than 200x lower than the O1's O1 model. These factors underline Buttercore's ability to offer a model that combines strong performance with availability.

The first users commented on the success of the “Deep Revenct” mode, which improves the power of reasoning and proves tasks that require complex problem solving. This combination of technical performance and design positions can not call Doubao-1.5-Pro ​​as an effective solution for the industrial range.

Lasting

Doubao-1.5-Pro ​​​​Shows a balanced approach to the challenges of AI development, offering a combination of performance, cost effectiveness, and availability. Its Artience of expert hybrid design and structured design provides an alternative to forcing multi-resourced models such as GPT-4 and Claude. By prioritizing accessibility and usability, BUSTETAMACE's latest model contributes to making advanced AI tools widely available. This marks an important step forward in the development of AI, demonstrating a wide flexibility in creating solutions that meet the needs of different users and organizations.

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