Expired50% confidenceOpinionExact time
Models with strong code understanding and generation capabilities (such as Claude 3.5 Sonnet and GPT-4o) generally perform more stably when handling obfuscated JS.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/18/2026
First Seen
Valid until: 10/16/2026(expired)
Sources
Related Claims
UnverifiedThe tester recommends using Claude Sonnet 3.5 or higher-tier models, rather than Claude Haiku 4.5, for scenarios involving code generation, logical reasoning, and spatial understanding68% similarUnverifiedIn the Pillow library RGB-to-HSV precision bug test, Claude Code using the Sonnet 4.6 model passed on the first attempt with clear logic, earning a perfect score.68% similarVerifiedThe Sonnet model underlying Claude Code consistently leads on mainstream programming benchmarks such as HumanEval and SWE-bench.64% similarUnverifiedJIT编译器采用推测性优化，在运行时观察代码类型行为生成针对特定类型假设的机器码，假设被违反时执行去优化回退到解释器61% similarUnverifiedOpenAI's o-series models and Anthropic's Claude 3.5 Sonnet have achieved scores on code generation benchmarks (such as HumanEval and SWE-bench) that approach or exceed the average level of human programmers.60% similar
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