OpenAIGPT-5 miniVSZ.ai (Zhipu AI)GLM-4.5
Our Take
While these models specialize in different coding tasks: GPT-5 mini is suited for complex codebases, multi-file repositories, and architectural planning, while GLM-4.5 excels at multi-file code and clearly defined tasks, they share very similar reasoning capabilities. GPT-5 mini is the smarter buy here as it offers the same level of performance while being 1.5x cheaper than GLM-4.5.
▶WHY?
Benchmark Calculations & Evidence:
Coding Evaluation: GPT-5 mini was evaluated on SWE-bench Pro (scoring 45.7%), while GLM-4.5 was evaluated on SWE-bench Verified (scoring 64.2%).
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. GPT-5 mini scored 81.6%, while GLM-4.5 scored 79.9%.
Cost Ratio: GLM-4.5 blended CPM is 1.5x higher than GPT-5 mini.
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Benchmarks & Scores
Coding (swe-bench-pro)
45.7%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+1.7%)
81.6%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.5x cheaper
$0.69Input: $0.25 | Output: $2.00Context WindowLarger
400k tokensFrequently Asked Questions about GPT-5 mini vs GLM-4.5
GPT-5 mini is cheaper than GLM-4.5. GPT-5 mini has a blended cost of $0.69/1M tokens, which is about 1.5x cheaper than GLM-4.5 at $1.00/1M tokens.
For coding tasks, GPT-5 mini scores 45.7% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while GLM-4.5 scores 64.2% on swe-bench-verified (multi-file code and clearly defined tasks).
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