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Tencent releases Hy4 open-weight AI model with visual understanding and filtered cyber data

Tencent released Hy4, a 770-billion-parameter open-weight model that adds image understanding for the first time. The company says it limited hacking-related training data to curb offensive cyber capabilities.

4 outlets · 0L · 3C · 1R First reported Account updated

Updated (version 2). New coverage since the last version from Anadolu Agency, The Straits Times.

Image: South China Morning Post
Image: The Straits Times
Image: CNA
Image: Anadolu Agency

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The story, neutrally told

Centre · 2Tencent released its new flagship AI model, Hy4, on Wednesday 4 November 2026, describing it as an open-weight model. Centre · 1The Hy4 series has 770 billion parameters, a 2.6-fold increase from the 295 billion in its predecessor, Hy3, and for the first time it can process images, analyse complex charts and do visual mathematical reasoning, according to Tencent. Centre · 1Tencent said Hy4 is now "one of the strongest open-weight models available today" but acknowledged it still trails the leading closed-source systems on hard internal benchmarks such as research-level mathematics, long-horizon coding, model self-improvement and advanced visual question answering.

Centre · 1According to benchmarks in Tencent's technical blog, Hy4 outperformed Z.ai's GLM-5.3 and DeepSeek-V4.1-Flash-1017 on all tested tasks and traded wins with Moonshot's Kimi K3.1 Pro; these are the company's own figures. Centre · 1Tencent said Hy4 powers an update to its workplace AI tool WorkBuddy, scoring 83.18 on average with a 96.15 per cent pass rate in internal evaluations. It also said a lightweight Hy4 Flash is coming soon and that a next-generation Hy5 will scale further. Centre · 2Tencent said it filtered out training content on exploit development, reverse engineering and penetration testing to limit Hy4's potential offensive cyber capabilities.

Centre · 1CNA links this to a slew of AI-driven cyberattacks that raised concerns about advanced models, and notes Moonshot AI limited its newest model's cyber-offensive capabilities last month. Tencent said it is "committed to a more responsible approach to model training, open-sourcing, and release". Centre · 1The launch comes as Tencent spends heavily on AI: its capital expenditure rose 176 per cent year on year to 52.8 billion yuan (US$7.9 billion) in the second quarter, pushing free cash flow negative. A preview of Hy4 released in late August ranked 23rd on Code Arena's WebDev leaderboard on Wednesday. The South China Morning Post noted that its owner, Alibaba, is one of Tencent's domestic rivals.

Every sentence links to the reporting it rests on. The pill in front of each says where its sources sit: Left, Centre or Right when one side supplies at least half of them, Mixed when they are evenly split. The number is how many outlets it cites.

Left0 outlets

No left outlet in our sources has covered this story yet.

Centre3 outlets

Framing
SCMP treats the release as a competitive move in China's open-weight AI race, leading on capabilities and benchmarks; CNA (Reuters text) leads on the cybersecurity-safety angle.
Emphasis
SCMP: parameter count, benchmarks against DeepSeek, Z.ai, Moonshot, capex. CNA: limited cyber training data and AI-driven hacking concerns.
Leaves out or plays down
CNA omits the visual understanding, model size and benchmark detail; SCMP gives the cyber filtering only a closing line and no wider context on attacks.
For example
“seeking to challenge top open-weight rivals with enhanced agentic capabilities built to power its enterprise software ecosystem.” — South China Morning Post
“The rollout comes after a slew of AI-driven cyberattacks around the world raised concerns about the capabilities of advanced models” — CNA

Right1 outlet

Framing
The Straits Times ran the Reuters cybersecurity-focused report unchanged, framing the launch as a safety response to AI-driven hacking fears.
Emphasis
Tencent's filtering of offensive-security training content, the Moonshot AI precedent and Tencent's responsibility statement.
Leaves out or plays down
Leaves out visual understanding, the 770-billion-parameter size, benchmark comparisons and Tencent's AI spending.
For example
“Tencent said it filtered out content during training such as exploit development, reverse engineering, and penetration testing to limit Hy4‘s potential “offensive” capabilities.” — The Straits Times

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