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xAI Grok 4.5 VS Z.ai (Zhipu AI) GLM-5

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

⚖️Our Take

If your budget allows, Grok 4.5 is the superior choice here, offering a clear reasoning advantage (+7.0% on GPQA Diamond) — with Grok 4.5 evaluated on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) and GLM-5 on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems) — while carrying only a moderate price premium (1.9x). Choose GLM-5 only if you need to optimize costs for very high-volume pipelines.
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Model Specs

Grok 4.5

Benchmarks & Scores

Coding (swe-bench-pro)
64.7%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+7.0%)
93%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
$3.00Input: $2.00 | Output: $6.00
Context WindowLarger
500k tokens
Model Specs

GLM-5

Open SourceAPI Available

Benchmarks & Scores

Coding (swe-bench-verified)
77.8%

good at editing existing code, cross-file updates, and multi-component systems

Reasoning (gpqa-diamond)
86%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)1.9x cheaper
$1.55Input: $1.00 | Output: $3.20
Context Window
202.75k tokens

Frequently Asked Questions about Grok 4.5 vs GLM-5 comparison

GLM-5 is cheaper than Grok 4.5. GLM-5 has a blended cost of $1.55/1M tokens, which is about 1.9x 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-5 scores 77.8% on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems).