OpenAIGPT-5.4VSZ.ai (Zhipu AI)GLM-5
Our Take
We recommend GPT-5.4 if you need peak intelligence for complex complex codebases, multi-file repositories, and architectural planning, or the 3.6x cheaper GLM-5 if your workflow is limited to multi-file code and clearly defined tasks. While GPT-5.4 holds a major reasoning advantage, GLM-5 is optimized for high-volume budget pipelines. Choose GPT-5.4 for architectural codebase planning, or GLM-5 to maximize your budget for basic scripts.
▶WHY?
Benchmark Calculations & Evidence:
Coding Evaluation: GPT-5.4 was evaluated on SWE-bench Pro (scoring 57.7%), 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 scored 92.8%, while GLM-5 scored 86%.
Cost Efficiency: GLM-5 pricing ($1/M input, $3.2/M output) is 3.6x cheaper than GPT-5.4 ($2.5/M input, $15/M output).
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Benchmarks & Scores
Coding (swe-bench-pro)
57.7%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+6.8%)
92.8%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$5.63Input: $2.50 | Output: $15.00Context WindowLarger
1.05M 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)3.6x cheaper
$1.55Input: $1.00 | Output: $3.20Context Window
202.75k tokensFrequently Asked Questions about GPT-5.4 vs GLM-5
GLM-5 is cheaper than GPT-5.4. GLM-5 has a blended cost of $1.55/1M tokens, which is about 3.6x cheaper than GPT-5.4 at $5.63/1M tokens.
For coding tasks, GPT-5.4 scores 57.7% 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).
Related Matchups
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