xAI Grok 4.5 VS Z.ai (Zhipu AI) GLM-4.7
⚖️Our Take
If your budget allows, Grok 4.5 is the superior choice here, offering a clear reasoning advantage (+7.3% on GPQA Diamond) — with Grok 4.5 evaluated on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) and GLM-4.7 on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems) — while carrying only a moderate price premium (3.0x). Choose GLM-4.7 only if you need to optimize costs for very high-volume pipelines.
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Benchmarks & Scores
Coding (swe-bench-pro)
64.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+7.3%)
93%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$3.00Input: $2.00 | Output: $6.00Context WindowLarger
500k tokensBenchmarks & Scores
Coding (swe-bench-verified)
73.8%good at editing existing code, cross-file updates, and multi-component systems
Reasoning (gpqa-diamond)
85.7%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)3.0x cheaper
$1.00Input: $0.60 | Output: $2.20Context Window
202.75k tokensFrequently Asked Questions about Grok 4.5 vs GLM-4.7 comparison
GLM-4.7 is cheaper than Grok 4.5. GLM-4.7 has a blended cost of $1.00/1M tokens, which is about 3.0x cheaper than Grok 4.5 at $3.00/1M tokens.
For coding tasks, Grok 4.5 scores 64.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases), while GLM-4.7 scores 73.8% on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems).
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