xAI Grok 4.5 VS Z.ai (Zhipu AI) GLM-4.6
⚖️Our Take
This matchup represents a clear tradeoff between peak intelligence and budget efficiency. Grok 4.5 is noticeably superior (holding a 32.6% average lead in benchmarks), but it carries a significant 3.0x price premium. Choose Grok 4.5 if you need top-tier reasoning or code debugging, but for high-volume pipelines, GLM-4.6 is the smarter business decision.
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Benchmarks & Scores
Coding (swe-bench-pro)Winner (+55.0%)
64.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+10.1%)
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-pro)
9.67%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
82.9%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-4.6 comparison
GLM-4.6 is cheaper than Grok 4.5. GLM-4.6 has a blended cost of $1.00/1M tokens, which is about 3.0x 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-4.6 which scores 9.67%.
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