China’s New Model Hunyuan-T1 Beats GPT 4.5


China’s aim of winning the AI race strengthens after the release of Tencent’s new model Hunyuan-T1. From the early looks and benchmarks it looks better than DeepSeek R1 and OpenAI’s GPT 4.5. The model boasts an impressive generation speed of 60-80 tokens per second, surpassing GPT-4.5 and DeepSeek R1 in performance. It features ultra-large-scale reasoning capabilities and utilizes a Hybrid-Mamba-Transformer MoE architecture, which enhances its logical reasoning and ensures concise, high-quality output. Let’s learn more about Hunyuan-T1.

What is Hunyuan-T1?

Tencent’s Hunyuan-T1 combines advanced architectural innovations with specialized reasoning capabilities to tackle complex problem-solving tasks. As the primary “slow thinking” model in Tencent’s Hunyuan series, it has set new standards for analytical depth, especially in Chinese-language contexts.

Architectural Foundations and Technical Innovations

Hybrid Model Architecture

Hunyuan-T1 uses Mixture of Experts (MoE) framework enhanced with Mamba architecture components, achieving what Tencent describes as “lossless integration” of state-space models into large-scale AI systems. The model activates 52 billion parameters through dynamic expert routing, with each specialist module handling specific reasoning domains like mathematical logic or contextual analysis. This architecture enables:

  • Adaptive Computation Allocation: Resources dynamically shift between 16 expert networks based on input complexity7.
  • Cross-Layer Attention (CLA): Reduces GPU memory consumption by 50% in KV cache operations through hierarchical attention mechanisms1.
  • FP8 Quantization: Maintains 99.3% of FP16 precision while doubling inference speed through optimized numerical representation7.

Training Infrastructure

The model’s training regimen incorporates 4.8 trillion tokens of multilingual data, with Chinese content comprising 65% of the corpus17. Key advancements include:

  • 256K Context Window: Processes documents equivalent to War and Peace (587,287 words) in single inference passes through hierarchical chunking1.
  • Synthetic Data Augmentation: Generated 820 billion tokens of scenario-specific training pairs to enhance few-shot learning capabilities1.
  • Expert-Specific Learning Rates: Implements differential learning rates ranging from 3e-5 to 1e-4 across expert modules to prevent knowledge dilution.

Also Read: China vs USA: Who is Losing the AI Race?

Performance Benchmarks and Competitive Positioning

Hunyuan T1 outperforms DeepSeek R1 and GPT 4.5 across most, if not all, of the benchmarks. This suggests that Hunyuan T1 has superior capabilities in tasks measured by these benchmarks, which could include language understanding, reasoning, and problem-solving. The graph provides a visual representation of the comparative strengths of these AI models, highlighting Hunyuan T1’s leading position in this evaluation.

Reasoning Capabilities

In the MMLU-PRO enhanced evaluation suite, Hunyuan-T1 achieved an 87.2 composite score, trailing only the proprietary o1 model in complex reasoning tasks4. Domain-specific performance highlights include:

How to Access What is Hunyuan-T1?

Via Tencent Yuanbao Platform:

  • Step 1: Visit the Tencent Yuanbao platform. This is available as a mobile app, web version, or desktop application (supporting Windows and macOS as of March 1, 2025).
  • Step 2: Sign up or log in with a Tencent account. You may need a Chinese phone number for registration, as some features are region-specific.
  • Step 3: Once logged in, select Hunyuan-T1 from the available models. The platform allows users to switch between models like Hunyuan-T1 (for deep reasoning) and Hunyuan Turbo S (for quick responses).
  • Availability: As of February 19, 2025, Hunyuan-T1 has been fully opened for unlimited use by all users on Yuanbao, following a grayscale testing phase.

API Access via Tencent Cloud:

  • Step 1: Register for a Tencent Cloud account at www.tencentcloud.com.
  • Step 2: Navigate to the AI or Machine Learning section and locate the Hunyuan models.
  • Step 3: Apply for API access to Hunyuan-T1. Tencent offers a free one-week trial, with pricing at approximately 0.8 yuan per million input tokens and 2 yuan per million output tokens (as of February 2025).
  • Step 4: Integrate the API into your application using the provided documentation. This is ideal for developers or businesses looking to leverage Hunyuan-T1 programmatically.

Testing and Prerequisites:

  • The platform is primarily designed for Chinese users, so proficiency in Chinese or a translation tool may be helpful.
  • For desktop use, download the Yuanbao app from the official Tencent site after its release on March 1, 2025.
  • No additional software is typically required for casual use, though API integration may need coding expertise.

Also Read: Baidu Releases ERNIE 4.5 & X1 Models Outperforming GPT-4.5 for 1% the Cost

Let’s Use Hunyuan-T1

Prompt: “I want you to write a good poem for me about calculus. I want each word to start with the last letter of the previous word.”

Video Source: Gadgetify

Conclusion

Despite its technical advancements, access to Hunyuan-T1 remains a challenge for users outside China. Unlike other Chinese models such as DeepSeek and Kimi, which allow Google logins, Tencent’s platform relies heavily on WeChat and requires a Chinese phone number for registration. This creates a barrier for international users and limits the model’s global accessibility. While Hunyuan-T1 is undoubtedly a promising innovation, its current design and accessibility seem tailored primarily for the Chinese market.

If Tencent addresses these accessibility issues in the future, Hunyuan-T1 could become a more inclusive and widely adopted tool. For now, its potential remains largely confined to users within China. If there are updates or new ways to access the model, I’ll be sure to share them.

In the meantime, if you’ve found a way to use Hunyuan-T1, let me know in the comments below!

Hello, I am Nitika, a tech-savvy Content Creator and Marketer. Creativity and learning new things come naturally to me. I have expertise in creating result-driven content strategies. I am well versed in SEO Management, Keyword Operations, Web Content Writing, Communication, Content Strategy, Editing, and Writing.

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