AI model comparison

zai-org/GLM-5.2 vs o3-mini

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

zai-org/GLM-5.2 from zai-org lists 1M context, 131.07K maximum output, $1.40 input per 1M tokens, $4.40 output per 1M tokens. o3-mini from OpenAI lists 200K context, 100K maximum output, $1.10 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
VS

OpenAI

o3-mini

o3-mini from OpenAI: Smaller o-series reasoner for economical coding, math, and planning tasks.

Context
200K
Max output
100K
Input / 1M tokens
$1.10
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.

zai-org/GLM-5.2

  • Context capacity: 1M
  • Maximum output: 131.07K

o3-mini

  • Input price: $1.10

Context capacity

Higher listed limit

zai-org/GLM-5.2:1M

o3-mini:200K

zai-org/GLM-5.2

Maximum output

Higher listed limit

zai-org/GLM-5.2:131.07K

o3-mini:100K

zai-org/GLM-5.2

Input price

Lower listed token rate

zai-org/GLM-5.2:$1.40

o3-mini:$1.10

o3-mini

Output price

Lower listed token rate

zai-org/GLM-5.2:$4.40

o3-mini:$4.40

Same value

Specifications

Pricing, limits and capabilities

Specifications for zai-org/GLM-5.2 and o3-mini. Higher limits and lower prices describe these figures only.
Specificationzai-org/GLM-5.2o3-mini
Providerzai-orgOpenAI
Listed pricing routezai-orgOpenAI
Model family—o-mini
Accepted inputstexttext
Produced outputstexttext
Context window1MHigher200K
Max output131.07KHigher100K
Input price / 1M$1.40$1.10Lower
Output price / 1M$4.40$4.40
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedNot documented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseNot documentedProprietary

Workload guidance

Which model should you choose?

Consider zai-org/GLM-5.2 if you need larger context or larger maximum output. Consider o3-mini if you need a lower listed input rate. 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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