Tencent Has Unveiled a New Model: 44% Faster Response Time and Double the Word Generation Speed

Tencent Has Unveiled a New Model: 44% Faster Response Time and Double the Word Generation Speed
Source: Flickr - heilau

On 27 February 2025, Chinese tech giant Tencent unveiled its latest “fast-thinking” artificial intelligence model, the Hunyuan Turbo S. Compared to the DeepSeek R1 model, it boasts a 44% reduction in response time and twice the word generation speed. The new model adopts an innovative Hybrid-Mamba-Transformer architecture, which significantly reduces computational complexity and is capable of handling both intuitive rapid responses and tasks requiring complex problem-solving with high efficiency.

The performance of Hunyuan Turbo S in independent tests is on par with leading industry models such as DeepSeek V3, GPT-4o, and Claude in areas including knowledge, mathematics, and creative content generation. The model is also cost-effective for developers: Tencent charges 0.8 yuan (approximately 11 cents) per million input tokens and 2 yuan (around 27 cents) per million output tokens. According to Tencent’s announcement, Hunyuan Turbo S will serve as the foundation of the company’s future AI model family, which will include specialised models for reasoning, long-form text processing, and code generation.

A fierce race has emerged in the field of Chinese AI development, beginning with the launch of the DeepSeek-V3 model in December 2024, which matched the performance of leading Western models at a fraction of the cost. This was followed by Alibaba’s updated Qwen2.5-Max model, which outpaced both Meta’s Llama and DeepSeek-V3 in terms of speed. As the next step, Hunyuan Turbo S introduces a unique “fast and slow thinking” approach, combining rapid response capabilities (fast thinking) with deeper analytical reasoning (slow thinking). It achieved outstanding results in benchmarks such as MMLU, Chinese-SimpleQA, and C-Eval, while also demonstrating exceptional mathematical performance in the MATH and AIME2024 tests.

Source: https://github.com/Tencent/llm.hunyuan.turbo-s?tab=readme-ov-file&source=post_page-----d64a02bed5c8---------------------------------------
Source: https://github.com/Tencent/llm.hunyuan.turbo-s?tab=readme-ov-file&source=post_page-----d64a02bed5c8---------------------------------------

Sources:

1.

Tencent Unveils Hunyuan Turbo S AI Model Amid Heating Competition
Chinese tech giant Tencent unveiled its new “fast thinking” Hunyuan Turbo S AI model Thursday and claimed that it is faster than DeepSeek’s R1 model, indicating that competition between AI companies continues to soar.

2.

GitHub - Tencent/llm.hunyuan.turbo-s
Contribute to Tencent/llm.hunyuan.turbo-s development by creating an account on GitHub.

3.

Para ordenar las alternativas, conviene tener en cuenta el uso principal de la camiseta. Para interpretar correctamente la información, conviene comparar dos tallas cuando las medidas queden entre ambas. La información reunida en «tercera equipación de fútbol» ayuda a comparar varias opciones sin atribuir datos no descritos. Para tomar una decisión informada, conviene comparar la opción elegida con las alternativas consideradas.

Tencent HunYuan Turbo S: The fastest reasoning LLM
At par with DeepSeek, Claude 3.5 and GPT-4o

4.

Tencent’s Turbo AI: A New Benchmark in Speed and Efficiency
Tencent’s Turbo AI: A New Benchmark in Speed and Efficiency
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