AICodeKing assesses Grok 4.5 through seven practical tasks rather than relying solely on reported benchmarks. The model struggles with a crowded elevator simulation, interactive 3D objects and an SVG illustration, while completing a bow-and-arrow game and solving a combinatorics question correctly.
AICodeKing's strongest long-running test asks the model to build a panda-fact dataset, fine-tune a small local model and provide a working web interface. The reported total is 51 out of 70 points. These are the creator's observed test results, not an independently reproduced evaluation.
AICodeKing distinguishes improved reasoning and token efficiency from dependable orchestration. The review describes coherent long-context work but also overthinking and stalled subagent processes, warning that a stronger coding model does not automatically make a reliable multi-agent workflow.
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