OpenAIGPT-5.4 miniVSZ.ai (Zhipu AI)GLM-5
Our Take
We recommend GPT-5.4 mini for complex complex codebases, multi-file repositories, and architectural planning, or the 1.1x cheaper GLM-5 if your workflow is limited to multi-file code and clearly defined tasks. While they share very similar reasoning capabilities, GPT-5.4 mini handles repository-scale projects whereas GLM-5 excels at basic functions and scripts. Choose GPT-5.4 mini for architectural codebase planning, or GLM-5 to save on API costs for simple scripts.
▶WHY?
Benchmark Calculations & Evidence:
Coding Evaluation: GPT-5.4 mini was evaluated on SWE-bench Pro (scoring 54.4%), while GLM-5 was evaluated on SWE-bench Verified (scoring 77.8%).
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. GPT-5.4 mini scored 87.5%, while GLM-5 scored 86%.
Cost Efficiency: GLM-5 pricing ($1/M input, $3.2/M output) is 1.1x cheaper than GPT-5.4 mini ($0.75/M input, $4.5/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 (+1.5%)
87.5%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$1.69Input: $0.75 | Output: $4.50Context WindowLarger
400k tokensBenchmarks & Scores
Coding (swe-bench-verified)
77.8%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)
86%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.1x cheaper
$1.55Input: $1.00 | Output: $3.20Context Window
202.75k tokensFrequently Asked Questions about GPT-5.4 mini vs GLM-5
GLM-5 is cheaper than GPT-5.4 mini. GLM-5 has a blended cost of $1.55/1M tokens, which is about 1.1x cheaper than GPT-5.4 mini at $1.69/1M tokens.
For coding tasks, GPT-5.4 mini scores 54.4% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while GLM-5 scores 77.8% on swe-bench-verified (multi-file code and clearly defined tasks).
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