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OpenAI GPT-5.6 Terra VS Z.ai (Zhipu AI) GLM-5.2

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GPT-5.6 Terra is the premium intelligence choice, scoring 1.3% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: GLM-5.2 is 2.6x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, GLM-5.2 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5.6 Terra fully justifies the cost.
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Model Specs

GPT-5.6 Terra

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+1.3%)
63.4%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+1.7%)
92.9%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
$5.63Input: $2.50 | Output: $15.00
Context WindowLarger
1.05M tokens
Model Specs

GLM-5.2

Benchmarks & Scores

Coding (swe-bench-pro)
62.1%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)
91.2%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)2.6x cheaper
$2.15Input: $1.40 | Output: $4.40
Context Window
1.05M tokens

Frequently Asked Questions about GPT-5.6 Terra vs GLM-5.2 comparison

GLM-5.2 is cheaper than GPT-5.6 Terra. GLM-5.2 has a blended cost of $2.15/1M tokens, which is about 2.6x cheaper than GPT-5.6 Terra at $5.63/1M tokens.

GPT-5.6 Terra is better for coding tasks on this benchmark. It scores 63.4% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to GLM-5.2 which scores 62.1%.