Baidu推出了新的AI模型，在基准上吹捧对DeepSeek的优势

科技巨头说，推理模型Ernie X1'与DeepSeek R1的表现仅为价格的一半

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已推出了新的大型语言模型（LLM），并吹捧了他们对DeepMind最新的开源Model R1的优越性，并从OpenAI上的型号上的基准测试了。

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.

这家搜索巨头在中国的开源LLM比赛中落后，但它突出了其模型的竞争价格及其在推理任务上的性能优势。

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

该公司推出了其新的LLM家族，名为Ernie X1，其中包括编码模型，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.

编码模型可以执行任务，例如生成代码，翻译编程语言和多种编程语言调试代码，而多模式模型处理诸如生成不同的创意文本格式，图像生成和文本驱动视频生成之类的任务。

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

该公司表示，推理模型特别是“以deepseek R1为基础的性能仅以一半的价格提供”。

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.

该公司表示，访问Ernie X1的应用程序编程接口（API）的业务定价定为2元（0.28美元），每百万令牌输入为每百万个代币，每百万个令牌产出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.

为了进行比较，OpenAI的型号定价为每1,000个令牌0.07美元的输入，每1,000个令牌的价格为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.

同时，自上个月推出以来，DeepMind最新的开源Model R1在企业和消费者用户中的流行激增。

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

它还看到了竞争对手，例如阿里巴巴，腾讯和野兽，揭示了自己的LLM，并在不同程度上开放式竞争对手。

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月在中国发行LLM的第一家中国大型科技公司，此前该公司发行了Openai的Chatgpt发行。但是在过去两年中，中国其他AI球员的挑战受到了早期的优势。

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.

这家搜索巨头的最新举动是增加了中国人工智能市场的相关性，因为DeepMind煽动了开源浪潮，其中包括Union Tech和Bogo Labs之类的几种模型也进入了竞争。

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".

该公司没有为其新的推理模型Ernie X1提供基准结果，但表示“与DeepSeek R1的性能仅以一半的价格提供”。

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

它补充说，该模型在推理能力方面还优于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说：“在内部测试中，与同一一代的OpenAI模型相比，Ernie X1在推理任务中表现出了出色的性能，展示了其在处理复杂任务并提供细微差别的输出方面的优势。”

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.

该公司表示，Ernie X1的表现是针对GPT-4系列的基准测试的，强调了其在快速发展的LLM景观中的竞争优势。

"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."

“在推理领域，Ernie X1在Stanford推理链上的R1模型上以一半的成本取得了表现，这意味着其在执行复杂任务（例如汇总，翻译和问答）等复杂任务方面的效率。”

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.

该公司表示，该模型的性能是针对GPT-4系列的基准测试的，强调了其在快速发展的LLM景观中的竞争优势。

"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."

“在推理领域，Ernie X1在Stanford推理链基准的R1上以一半的成本获得了R1的表现，这意味着其在执行复杂任务（例如汇总，翻译和问题答案）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.

该公司表示，该模型的性能是针对GPT-4系列的基准测试的，强调了其在快速发展的LLM景观中的竞争优势。

"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."

“在推理领域，Ernie X1在Stanford推理链基准的R1上以一半的成本获得了R1的表现，这意味着其在执行复杂任务（例如汇总，翻译和问题答案）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.

该公司表示，该模型的性能是针对GPT-4系列的基准测试的，强调了其在快速发展的LLM景观中的竞争优势。

"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."

“在推理领域，Ernie X1在Stanford推理链基准的R1上以一半的成本获得了R1的表现，这意味着其在执行复杂任务（例如汇总，翻译和问题答案）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.

该公司表示，该模型的性能是针对GPT-4系列的基准测试的，强调了其在快速发展的LLM景观中的竞争优势。

"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."

“在推理领域，Ernie X1在Stanford推理链基准的R1上以一半的成本获得了R1的表现，这意味着其在执行复杂任务（例如汇总，翻译和问题答案）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.

该公司表示，该模型的性能是针对GPT-4系列的基准测试的，强调了其在快速发展的LLM景观中的竞争优势。

"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."

“在推理领域，Ernie X1在Stanford推理链基准的R1上以一半的成本获得了R1的表现，这意味着其在执行复杂任务（例如汇总，翻译和问题答案）方面的效率。”

The company said that the model's performance was

该公司表示，该模型的性能是