Model comparison

GPT-5.6 Terra vs GLM-5.2

Compare GPT-5.6 Terra vs GLM-5.2 API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.

GPT-5.6 Terra

openai · gpt-5.6-terra

Input
$2.5
Output
$15
Context
1.1M

GLM-5.2

zai · glm-5.2

Input
$1.4
Output
$4.4
Context
1M

Quick take

GLM-5.2 has the lower input price at $1.4 per 1M input tokens. GLM-5.2 is cheaper for the example blended workload below. GPT-5.6 Terra has the larger context window at 1.1M tokens.

Choose GPT-5.6 Terra if...

  • GPT-5.6 Terra is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
  • GPT-5.6 Terra is required if images, screenshots, or visual documents are part of the workflow.

Choose GLM-5.2 if...

  • GLM-5.2 is the better default for cost-sensitive traffic and repeated high-volume calls.

Example workload cost

Estimates use input tokens plus 20% output tokens. They exclude provider discounts, cache hits, and tool/search surcharges.

Workload GPT-5.6 Terra GLM-5.2 Cheaper
1M input + 200K output $5.50 $2.28 GLM-5.2
10M input + 2M output $55.00 $22.80 GLM-5.2
100M input + 20M output $550.00 $228.00 GLM-5.2

Context, output, and capability fit

GPT-5.6 Terra provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.

GPT-5.6 Terra max output
128K
GLM-5.2 max output
128K
GPT-5.6 Terra features
prompt caching, function calling, vision
GLM-5.2 features
prompt caching, function calling

Risk notes for GPT-5.6 Terra

  • No major capability risk is flagged in this snapshot, but provider pages should still be verified before production routing.

Risk notes for GLM-5.2

  • No major capability risk is flagged in this snapshot, but provider pages should still be verified before production routing.

Routing tags

frontierreasoningcodingagentslong-contextmultimodalcache-friendlyragopen-weightlocal-open

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