AI model comparison

GLM-5 vs GLM-5.2

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

GLM-5 from Z.ai / Zhipu AI lists 204.8K context, 131.07K maximum output, $1.00 input per 1M tokens, $3.20 output per 1M tokens. GLM-5.2 from Z.ai / Zhipu AI lists 1M context, 131.07K maximum output, $1.40 input per 1M tokens, $4.40 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

Z.ai / Zhipu AI

GLM-5

GLM-5 from Z.ai / Zhipu AI: General GLM flagship for coding, analysis, and tool-heavy engineering workflows.

Context
204.8K
Max output
131.07K
Input / 1M tokens
$1.00
Output / 1M tokens
$3.20

Accepts

  • Text input

Produces

  • Text output
VS

Z.ai / Zhipu AI

GLM-5.2

GLM-5.2 from Z.ai / Zhipu AI: Open flagship GLM for long-horizon coding agents and million-token context work.

Context
1M
Max output
131.07K
Input / 1M tokens
$1.40
Output / 1M tokens
$4.40

Accepts

  • Text input

Produces

  • Text output

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

GLM-5

  • Input price: $1.00
  • Output price: $3.20

GLM-5.2

  • Context capacity: 1M

Context capacity

Higher listed limit

GLM-5:204.8K

GLM-5.2:1M

GLM-5.2

Maximum output

Higher listed limit

GLM-5:131.07K

GLM-5.2:131.07K

Same value

Input price

Lower listed token rate

GLM-5:$1.00

GLM-5.2:$1.40

GLM-5

Output price

Lower listed token rate

GLM-5:$3.20

GLM-5.2:$4.40

GLM-5

Specifications

Pricing, limits and capabilities

Specifications for GLM-5 and GLM-5.2. Higher limits and lower prices describe these figures only.
SpecificationGLM-5GLM-5.2
ProviderZ.ai / Zhipu AIZ.ai / Zhipu AI
Listed pricing routeZ.ai / Zhipu AIZ.ai / Zhipu AI
Model familyglmglm
Accepted inputstexttext
Produced outputstexttext
Context window204.8K1MHigher
Max output131.07K131.07K
Input price / 1M$1.00Lower$1.40
Output price / 1M$3.20Lower$4.40
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedNot documented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseOpen weightsOpen weights

Workload guidance

Which model should you choose?

Consider GLM-5 if you need a lower listed input rate or a lower listed output rate. Consider GLM-5.2 if you need larger context. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

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