Baidu推出了新的AI模型，在基准上吹捧對DeepSeek的優勢

科技巨頭說，推理模型Ernie X1'與DeepSeek R1的表現僅為價格的一半

Tech giant Baidu has launched new large language models (LLMs) and touted their superiority to DeepMind’s latest open-source model R1 and models from OpenAI on benchmarks.

Tech Giant Baidu已推出了新的大型語言模型（LLM），並吹捧了他們對DeepMind最新的開源Model R1的優越性，並從OpenAI上的型號上的基準測試了。

The search giant is lagging behind in the open-source LLM race in China, but it highlighted the competitive pricing of its models and the performance edge on reasoning tasks.

這家搜索巨頭在中國的開源LLM比賽中落後，但它突出了其模型的競爭價格及其在推理任務上的性能優勢。

The company unveiled its new LLM family, named Ernie X1, which includes a coding model, a multimodal model and a reasoning model.

該公司推出了其新的LLM家族，名為Ernie X1，其中包括編碼模型，多模式模型和推理模型。

The coding model can perform tasks such as generating code, translating programming languages and debugging code in multiple programming languages, while the multimodal model handles tasks like generating different creative text formats, image generation and text-driven video generation.

編碼模型可以執行任務，例如生成代碼，翻譯編程語言和多種編程語言調試代碼，而多模式模型處理諸如生成不同的創意文本格式，圖像生成和文本驅動視頻生成之類的任務。

The company said that the reasoning model, specifically, “delivers performance on par with DeepSeek R1 at only half the price”.

該公司表示，推理模型特別是“以deepseek R1為基礎的性能僅以一半的價格提供”。

Pricing for business access to Ernie X1’s application programming interface (API) is set at 2 yuan (US$0.28) per million token inputs and 8 yuan per million token outputs, the company said.

該公司表示，訪問Ernie X1的應用程序編程接口（API）的業務定價定為2元（0.28美元），每百萬令牌輸入為每百萬個代幣，每百萬個令牌產出8元。

For comparison, OpenAI’s models are priced at US$0.07 per 1,000 tokens for input and US$0.08 per 1,000 tokens for output.

為了進行比較，OpenAI的型號定價為每1,000個令牌0.07美元的輸入，每1,000個令牌的價格為0.08美元。

At the same time, DeepMind’s latest open-source model R1 has seen a surge in popularity among business and consumer users since its launch last month.

同時，自上個月推出以來，DeepMind最新的開源Model R1在企業和消費者用戶中的流行激增。

It also saw competitors such as Alibaba, Tencent and Bytedance unveiling their own LLMs and open-sourcing them to varying degrees.

它還看到了競爭對手，例如阿里巴巴，騰訊和野獸，揭示了自己的LLM，並在不同程度上開放式競爭對手。

Baidu was the first Chinese Big Tech firm to launch an LLM in China in March 2023 following the frenzy created by the release of OpenAI’s ChatGPT. But its early-mover advantage was challenged by China’s other AI players in the last two years.

BAIDU是2023年3月在中國發行LLM的第一家中國大型科技公司，此前該公司發行了Openai的Chatgpt發行。但是在過去兩年中，中國其他AI球員的挑戰受到了早期的優勢。

The search giant’s latest move to increase its relevance in China’s AI market came as DeepMind has fanned an open-source wave, with several models from the likes of Union Tech and BOGO Labs also entering the fray.

這家搜索巨頭的最新舉動是增加了中國人工智能市場的相關性，因為DeepMind煽動了開源浪潮，其中包括Union Tech和Bogo Labs之類的幾種模型也進入了競爭。

The company did not provide benchmark results for its new reasoning model Ernie X1, but said that it "delivers performance on par with DeepSeek R1 at only half the price".

該公司沒有為其新的推理模型Ernie X1提供基準結果，但表示“與DeepSeek R1的性能僅以一半的價格提供”。

It added that the model also outperformed OpenAI’s models in terms of reasoning ability.

它補充說，該模型在推理能力方面還優於OpenAI的模型。

"In internal testing, Ernie X1 demonstrated superior performance in reasoning tasks compared to OpenAI models of the same generation, showcasing its edge in handling complex tasks and delivering nuanced outputs," Baidu said.

Baidu說：“在內部測試中，與同一一代的OpenAI模型相比，Ernie X1在推理任務中表現出了出色的性能，展示了其在處理複雜任務並提供細微差別的輸出方面的優勢。”

The company said that Ernie X1's performance was benchmarked against the GPT-4 series, highlighting its competitive edge in the rapidly evolving LLM landscape.

該公司表示，Ernie X1的表現是針對GPT-4系列的基準測試的，強調了其在快速發展的LLM景觀中的競爭優勢。

"In the realm of reasoning, Ernie X1 achieved performance on par with DeepMind's R1 model on the Stanford Reasoning Chain benchmark at half the cost, signifying its efficiency in performing sophisticated tasks such as summarization, translation and question answering."

“在推理領域，Ernie X1在Stanford推理鏈上的R1模型上以一半的成本取得了表現，這意味著其在執行複雜任務（例如匯總，翻譯和問答）等複雜任務方面的效率。”

The company said that the model's performance was benchmarked against the GPT-4 series, highlighting its competitive edge in the rapidly evolving LLM landscape.

該公司表示，該模型的性能是針對GPT-4系列的基準測試的，強調了其在快速發展的LLM景觀中的競爭優勢。

"In the realm of reasoning, Ernie X1 achieved performance on par with R1 on the Stanford Reasoning Chain benchmark at half the cost, signifying its efficiency in performing sophisticated tasks such as summarization, translation and question answering."

“在推理領域，Ernie X1在Stanford推理鏈基準的R1上以一半的成本獲得了R1的表現，這意味著其在執行複雜任務（例如匯總，翻譯和問題答案）方面的效率。”

The company said that the model's performance was benchmarked against the GPT-4 series, highlighting its competitive edge in the rapidly evolving LLM landscape.

該公司表示，該模型的性能是針對GPT-4系列的基準測試的，強調了其在快速發展的LLM景觀中的競爭優勢。

"In the realm of reasoning, Ernie X1 achieved performance on par with R1 on the Stanford Reasoning Chain benchmark at half the cost, signifying its efficiency in performing sophisticated tasks such as summarization, translation and question answering."

“在推理領域，Ernie X1在Stanford推理鏈基準的R1上以一半的成本獲得了R1的表現，這意味著其在執行複雜任務（例如匯總，翻譯和問題答案）方面的效率。”

The company said that the model's performance was benchmarked against the GPT-4 series, highlighting its competitive edge in the rapidly evolving LLM landscape.

該公司表示，該模型的性能是針對GPT-4系列的基準測試的，強調了其在快速發展的LLM景觀中的競爭優勢。

"In the realm of reasoning, Ernie X1 achieved performance on par with R1 on the Stanford Reasoning Chain benchmark at half the cost, signifying its efficiency in performing sophisticated tasks such as summarization, translation and question answering."

“在推理領域，Ernie X1在Stanford推理鏈基準的R1上以一半的成本獲得了R1的表現，這意味著其在執行複雜任務（例如匯總，翻譯和問題答案）方面的效率。”

The company said that the model's performance was benchmarked against the GPT-4 series, highlighting its competitive edge in the rapidly evolving LLM landscape.

該公司表示，該模型的性能是針對GPT-4系列的基準測試的，強調了其在快速發展的LLM景觀中的競爭優勢。

"In the realm of reasoning, Ernie X1 achieved performance on par with R1 on the Stanford Reasoning Chain benchmark at half the cost, signifying its efficiency in performing sophisticated tasks such as summarization, translation and question answering."

“在推理領域，Ernie X1在Stanford推理鏈基準的R1上以一半的成本獲得了R1的表現，這意味著其在執行複雜任務（例如匯總，翻譯和問題答案）方面的效率。”

The company said that the model's performance was benchmarked against the GPT-4 series, highlighting its competitive edge in the rapidly evolving LLM landscape.

該公司表示，該模型的性能是針對GPT-4系列的基準測試的，強調了其在快速發展的LLM景觀中的競爭優勢。

"In the realm of reasoning, Ernie X1 achieved performance on par with R1 on the Stanford Reasoning Chain benchmark at half the cost, signifying its efficiency in performing sophisticated tasks such as summarization, translation and question answering."

“在推理領域，Ernie X1在Stanford推理鏈基準的R1上以一半的成本獲得了R1的表現，這意味著其在執行複雜任務（例如匯總，翻譯和問題答案）方面的效率。”

The company said that the model's performance was

該公司表示，該模型的性能是