Model comparison

DeepSeek V3.2 vs GLM-5.2

Compare DeepSeek V3.2 vs GLM-5.2 API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.

DeepSeek V3.2

deepseek · deepseek/deepseek-v3.2

Input
$0.28
Output
$0.4
Context
163.8K

GLM-5.2

zai · glm-5.2

Input
$1.4
Output
$4.4
Context
1M

Quick take

DeepSeek V3.2 has the lower input price at $0.28 per 1M input tokens. DeepSeek V3.2 is cheaper for the example blended workload below. GLM-5.2 has the larger context window at 1M tokens.

Choose DeepSeek V3.2 if...

  • DeepSeek V3.2 is the better default for cost-sensitive traffic and repeated high-volume calls.
  • DeepSeek V3.2 gives more room for long generated answers, reports, or code output.

Choose GLM-5.2 if...

  • GLM-5.2 is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.

Example workload cost

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

Workload DeepSeek V3.2 GLM-5.2 Cheaper
1M input + 200K output $0.36 $2.28 DeepSeek V3.2
10M input + 2M output $3.60 $22.80 DeepSeek V3.2
100M input + 20M output $36.00 $228.00 DeepSeek V3.2

Context, output, and capability fit

GLM-5.2 provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.

DeepSeek V3.2 max output
163.8K
GLM-5.2 max output
128K
DeepSeek V3.2 features
prompt caching, function calling
GLM-5.2 features
prompt caching, function calling

Risk notes for DeepSeek V3.2

  • Smaller context window: long PDFs, codebases, or RAG prompts may need chunking.

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

budgethigh-volumecodingreasoningopen-weightlocal-openfrontieragentslong-contextcache-friendlyrag

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