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Arena.ai teased that Tencent Hunyuan Hy4 was about to be released, and Tencent Hunyuan subsequently launched the official version

3 reports1 discussions4 story updatesUpdated Nov 4 13:13

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On November 4, 2026, Arena.ai teased that Tencent Hunyuan's next-generation model Hy4 was about to be released, and cited the preview version's evaluation performance on Agent Arena: across more than 14,500 real agent task sessions, the Hy4 preview ranked second among open models and tenth overall worldwide, behind only Kimi K3 (Max); its net improvement rate was 5.4%, compared with 6.6% for Kimi K3 (Max); the median cost per individual task was about $0.26, roughly 68% lower than Kimi K3 (Max)'s $0.80. On the same day, Tencent Hunyuan released the official version of Hy4, saying that compared with the preview version it significantly expanded pretraining and post-training scale, introduced visual capabilities for the first time and supported computer operation for the first time, with GameDev and GameLogic evaluations improving by 19.1% and 9.8% respectively, and the hallucination rate dropping from 15.76% to 5.45%. Hy4 is already available on Tencent Cloud and OpenRouter, can be experienced in products such as WorkBuddy/CodeBuddy, Yuanbao, and ima, with API pricing unchanged, and there are plans to open-source the model weights.

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Latest development · Report

Tencent Hunyuan Releases Hy4 Official Version, Introducing Vision and Computer Operation Capabilities for the First Time

Developments

2 confirmed developments

  1. Arena.ai teases the upcoming release of Tencent Hunyuan Hy4

    Source:Phoenix Technology
  2. Tencent Hunyuan releases official version of Hy4

    Source:English text is being prepared.

Reports and discussion timeline

Browse reports and discussion by time. Their evidence levels remain distinct.

Nov 4

  1. Tencent Hunyuan ResearchFirst-partySelected

    Tencent Hunyuan Releases Hy4 Official Version, Introducing Vision and Computer Operation Capabilities for the First Time

    Tencent Hunyuan Releases Hy4 Official Version, Significantly Expanding Pre-training and Post-training Scale Compared with Hy4 preview, Introducing Vision Capabilities and Supporting Computer Operation for the First Time. The company says Hy4 has for the first time ranked among the strongest open-source models, improving by 19.1% and 9.8% on the GameDev and GameLogic benchmarks respectively, while the hallucination rate dropped from 15.76% to 5.45%. Hy4 is now available on Tencent Cloud and OpenRouter and can be experienced in products such as WorkBuddy/CodeBuddy, Yuanbao, and ima. API pricing remains unchanged at 6 yuan for input and 18 yuan for output per million Tokens, and the model weights are planned to be open-sourced.

  2. Phoenix TechnologyRelated discussion

    Phoenix Technology joined this discussion

    This post contributes to heat; it is not a formal report or confirmed fact.

  3. Phoenix Technology

    Tencent Hunyuan Hy4 to Be Released Soon: Preview Version Ranks 10th Globally on Agent Arena, Task Cost Lower Than Kimi…

    Arena.ai revealed that Tencent Hunyuan's next-generation model Hy4 is about to be released. Its preview version ranked second among open models and 10th overall globally in Agent Arena's evaluation of more than 14,500 real agent task sessions, second only to Kimi K3 (Max). The Hy4 preview version had a net improvement rate of 5.4%, compared with 6.6% for Kimi K3 (Max); its median cost per task was about $0.26, roughly 68% lower than Kimi K3 (Max)'s $0.80, and it entered the Pareto frontier of that leaderboard. Tencent Hunyuan has not yet announced the release date, model parameters, or full technical details of the official version.

  4. Arena

    Tencent Hunyuan Hy4 is about to land on the Arena leaderboard

    Arena.ai has teased that Tencent Hunyuan's Hy4 is about to be released, and said it will be watching its ranking on the Arena leaderboard. The quoted post recalled that last month the Hy4 preview ranked 2nd in the Agent Arena open-source lab, ranked 2nd among open-source models (10th overall), with a net improvement of +5.4%, second only to Kimi K3 (Max)'s +6.6%; the cost per median task was $0.26, about 68% lower than Kimi K3 (Max)'s $0.80.

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