Tencent Hy3 tested on coding, reasoning and agent tasks

AICodeKing7m 11s
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    Video summary

    AICodeKing evaluates Tencent Hy3 through a hosted endpoint with reasoning set to high. The channel's seven-task KingBench test includes interactive simulations, visual code generation, a counting problem and a multi-step local fine-tuning task.

    The reviewer reports incomplete interaction logic, broken controls and failures on the reasoning and agent tasks, for a total of 16 out of 70. These are results from one small, channel-defined benchmark, not a general ranking of models or an independent replication of Tencent's evaluations.

    AICodeKing contrasts these observations with the developer's reliability and capability claims. The useful distinction is between a model's advertised characteristics and whether its output actually works for a particular task; different workloads need their own checks.

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    Blue and white text "CLAIMS NEED A TEST" beside a large blue checkmark over an off-white square on black. Framed in blue with WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 7 July 2026 and duration 7m 11s.

    AICodeKing reports weak Tencent Hy3 results on a seven-task benchmark, illustrating why model selection needs workload-specific tests rather than vendor claims alone.