OpenAIGPT-5.5VSZ.ai (Zhipu AI)GLM-4.6
Our Take
We recommend GPT-5.5 if you need peak intelligence for complex complex codebases, multi-file repositories, and architectural planning, or the 11.3x cheaper GLM-4.6 if your workflow is limited to multi-file code and clearly defined tasks. While GPT-5.5 holds a major reasoning advantage, GLM-4.6 is optimized for high-volume budget pipelines. Choose GPT-5.5 for architectural codebase planning, or GLM-4.6 to maximize your budget for basic scripts.
▶WHY?
Benchmark Calculations & Evidence:
Coding Evaluation: GPT-5.5 was evaluated on SWE-bench Pro (scoring 58.6%), while GLM-4.6 was evaluated on SWE-bench Verified (scoring 68%).
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. GPT-5.5 scored 93.6%, while GLM-4.6 scored 82.9%.
Cost Efficiency: GLM-4.6 pricing ($0.6/M input, $2.2/M output) is 11.3x cheaper than GPT-5.5 ($5/M input, $30/M output).
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Benchmarks & Scores
Coding (swe-bench-pro)
58.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+10.7%)
93.6%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$11.25Input: $5.00 | Output: $30.00Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (swe-bench-verified)
68%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)
82.9%graduate-level science QA
Cost & Context
Cost (per 1M tokens)11.3x cheaper
$1.00Input: $0.60 | Output: $2.20Context Window
202.75k tokensFrequently Asked Questions about GPT-5.5 vs GLM-4.6
GLM-4.6 is cheaper than GPT-5.5. GLM-4.6 has a blended cost of $1.00/1M tokens, which is about 11.3x cheaper than GPT-5.5 at $11.25/1M tokens.
For coding tasks, GPT-5.5 scores 58.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while GLM-4.6 scores 68% on swe-bench-verified (multi-file code and clearly defined tasks).
Related Matchups
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