xAI Grok 4.5 VS Z.ai (Zhipu AI) GLM-5.2
⚖️Our Take
Both models perform almost identically, with an average score gap of just 2.2%. We recommend choosing GLM-5.2 as it is the more cost-effective option (being 1.4x cheaper) without sacrificing any real-world capability.
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Benchmarks & Scores
Coding (swe-bench-pro)Winner (+2.6%)
64.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+1.8%)
93%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$3.00Input: $2.00 | Output: $6.00Context Window
500k tokensBenchmarks & Scores
Coding (swe-bench-pro)
62.1%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
91.2%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)1.4x cheaper
$2.15Input: $1.40 | Output: $4.40Context WindowLarger
1.05M tokensFrequently Asked Questions about Grok 4.5 vs GLM-5.2 comparison
GLM-5.2 is cheaper than Grok 4.5. GLM-5.2 has a blended cost of $2.15/1M tokens, which is about 1.4x cheaper than Grok 4.5 at $3.00/1M tokens.
Grok 4.5 is better for coding tasks on this benchmark. It scores 64.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to GLM-5.2 which scores 62.1%.
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