OpenAIGPT-5.4 miniVSZ.ai (Zhipu AI)GLM-5.1
Our Take
We recommend GLM-5.1 if your workflow requires peak coding capability, or the 1.3x cheaper GPT-5.4 mini to optimize your API budget. While both models deliver similar reasoning performance, GLM-5.1 holds a clear lead in coding. Choose GLM-5.1 for complex development tasks, or GPT-5.4 mini for cost optimization.
▶WHY?
Benchmark Calculations & Evidence:
Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. GPT-5.4 mini scored 54.4%, while GLM-5.1 scored 58.4%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. GPT-5.4 mini scored 87.5%, while GLM-5.1 scored 86.2%.
Cost Efficiency: GPT-5.4 mini pricing ($0.75/M input, $4.5/M output) is 1.3x cheaper than GLM-5.1 ($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)Winner (+1.3%)
87.5%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.3x cheaper
$1.69Input: $0.75 | Output: $4.50Context WindowLarger
400k tokensBenchmarks & Scores
Coding (swe-bench-pro)Winner (+4.0%)
58.4%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
86.2%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$2.15Input: $1.40 | Output: $4.40Context Window
202.75k tokensFrequently Asked Questions about GPT-5.4 mini vs GLM-5.1
GPT-5.4 mini is cheaper than GLM-5.1. GPT-5.4 mini has a blended cost of $1.69/1M tokens, which is about 1.3x cheaper than GLM-5.1 at $2.15/1M tokens.
GLM-5.1 is better for coding tasks on this benchmark. It scores 58.4% 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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