Tencent Launches Hy4 After Beating DeepSeek In Finance Tests

Tencent, one of China’s biggest tech firms, said its new AI system Hy4 earned the highest overall score in an evaluation based on 579 real-world finance tasks, ahead of DeepSeek-V4.1-Flash-1017.

Key Takeaways

• Hy4 scored 3.04 across 579 real-world finance tasks, Tencent said
• Tencent said Hy4 improved by 12.03 points on another measurement in a Thai release
• Tencent named DeepSeek-V4.1-Flash-1017, Kimi K3.1 Pro and GLM-5.3 as comparison points
• Tencent positioned Hy4 as open source and said the 579 tasks are drawn from real financial work

Tencent said the release puts Hy4 among the leading open-source AI models.

Tencent Hy4 Targets Finance Work

Tencent Hy4 matters because the benchmark is not framed as a general chatbot bakeoff, and Tencent said the 579 tasks are drawn from real financial work, which is where model buyers care about precision, document handling and multi-step reasoning more than style.

Tencent compared Hy4 with DeepSeek-V4.1-Flash-1017, Kimi K3.1 Pro and GLM-5.3 on a finance-focused evaluation.

Tencent is one of China’s largest technology groups and has been expanding its model lineup as open-weight AI turns from research branding into enterprise distribution.

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A China Open Model Fight Is Getting Tighter

Tencent Hy4 lands in a crowded field, and the release itself names DeepSeek-V4.1-Flash-1017, Kimi K3.1 Pro and GLM-5.3 as comparison points. That is the background readers need for Friday’s claim. Chinese model makers spent much of the last year chasing cheaper inference, stronger reasoning and local enterprise adoption.

Tencent said Hy4 joins the ranks of the world’s leading open-source AI models. The release says Tencent Hy plans to release the model weights and system card in the coming days, and it says Hy4 is available through Tencent Cloud TokenHub, WorkBuddy, CodeBuddy, Yuanbao, WeCom AI Assistant, ima, and APIs on OpenRouter, Hermes, and OpenCode.

Why 579 Tasks Matter More Than A Chat Demo

Tencent Hy4 is being sold on test coverage rather than a glossy consumer feature, and a 579-task finance benchmark gives buyers a broader sample of performance than a few staged prompts.

Tencent said the evaluation used 579 real-world finance tasks and that Hy4 was trained on scenarios tied to fund research, securities analysis, and quantitative investment strategy.

How Open Weights Change Buyer Control

Open-weight models give companies a different operating model from API-only systems. With a closed API, a bank sends prompts to a remote service and accepts the vendor’s pricing, latency and update schedule, whereas with an open model a firm can run the weights on its own hardware or cloud account, test changes internally and tune the system for a narrow workflow.

Tencent said Hy4 was the top-performing open-source model in its blind evaluation based on 579 real-world finance tasks.

Tencent’s release names the scores, but buyers will want deployment details, licensing terms and proof that Hy4 keeps its edge outside a curated finance benchmark.

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Tencent today announced Hy4 launched with visual understanding and new computer-use capabilities, plus improvements in instruction following, long-context comprehension and long-horizon agentic tasks. The finance benchmark win was one result within that broader release.