OpenAIGPT-5.4 miniVSZ.ai (Zhipu AI)GLM-5.2
Our Take
We recommend GLM-5.2 for its clear benchmark advantage, or the 1.3x cheaper GPT-5.4 mini only if your budget requires optimizing costs for very high-volume pipelines. While GLM-5.2 offers superior reasoning and coding, it carries a moderate price premium. Choose GLM-5.2 for quality, or GPT-5.4 mini for cost optimization.
▶WHY?
Benchmark Calculations & Evidence:
Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. GLM-5.2 scored 62.1%, while GPT-5.4 mini scored 54.4%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. GLM-5.2 scored 91.2%, while GPT-5.4 mini scored 87.5%.
Cost Efficiency: GPT-5.4 mini pricing ($0.75/M input, $4.5/M output) is 1.3x cheaper than GLM-5.2 ($1.4/M input, $4.4/M output).
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Benchmarks & Scores
Coding (swe-bench-pro)
54.4%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
87.5%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.3x cheaper
$1.69Input: $0.75 | Output: $4.50Context Window
400k tokensBenchmarks & Scores
Coding (swe-bench-pro)Winner (+7.7%)
62.1%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+3.7%)
91.2%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$2.15Input: $1.40 | Output: $4.40Context WindowLarger
1.05M tokensFrequently Asked Questions about GPT-5.4 mini vs GLM-5.2
GPT-5.4 mini is cheaper than GLM-5.2. GPT-5.4 mini has a blended cost of $1.69/1M tokens, which is about 1.3x cheaper than GLM-5.2 at $2.15/1M tokens.
GLM-5.2 is better for coding tasks on this benchmark. It scores 62.1% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to GPT-5.4 mini which scores 54.4%.
Related Matchups
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