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Benchmarking models from
322
Hard Problems
10
Categories
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GLM 5.2 High Overall
100%
Objective Grading
Hit start to simulate four frontier models racing through the same HumanEval prompt on identical hardware.
We bypass provider routing and benchmark models directly on physical clusters — for clean, reproducible numbers you can stake a launch on.
See our methodologyModels run on identical NVIDIA H100 clusters, measuring true hardware-level performance without provider routing delays.
We programmatically rewrite our test sets every month so trainers can't memorise our evaluation datasets.
We don't pattern-match strings. Generated code runs against hidden unit tests in a sandbox — pass@1 across algorithms, software engineering, frontend and security.
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