AI model comparison

Qwen3-VL Plus vs zai-org/GLM-5.2

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

Qwen3-VL Plus from Alibaba lists 262.14K context, 32.77K maximum output, $0.20 input per 1M tokens, $1.60 output per 1M tokens. 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. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

Alibaba

Qwen3-VL Plus

Qwen3-VL Plus from Alibaba: Qwen vision-language model for visual reasoning, documents, and agent tasks.

Context
262.14K
Max output
32.77K
Input / 1M tokens
$0.20
Output / 1M tokens
$1.60

Accepts

  • Text input
  • Image input

Produces

  • Text output
VS

At a glance

Key differences

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

Qwen3-VL Plus

  • Input price: $0.20
  • Output price: $1.60

zai-org/GLM-5.2

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

Context capacity

Higher listed limit

Qwen3-VL Plus:262.14K

zai-org/GLM-5.2:1M

zai-org/GLM-5.2

Maximum output

Higher listed limit

Qwen3-VL Plus:32.77K

zai-org/GLM-5.2:131.07K

zai-org/GLM-5.2

Input price

Lower listed token rate

Qwen3-VL Plus:$0.20

zai-org/GLM-5.2:$1.40

Qwen3-VL Plus

Output price

Lower listed token rate

Qwen3-VL Plus:$1.60

zai-org/GLM-5.2:$4.40

Qwen3-VL Plus

Specifications

Pricing, limits and capabilities

Specifications for Qwen3-VL Plus and zai-org/GLM-5.2. Higher limits and lower prices describe these figures only.
SpecificationQwen3-VL Pluszai-org/GLM-5.2
ProviderAlibabazai-org
Listed pricing routeAlibabazai-org
Model familyqwen—
Accepted inputstext, imagetext
Produced outputstexttext
Context window262.14K1MHigher
Max output32.77K131.07KHigher
Input price / 1M$0.20Lower$1.40
Output price / 1M$1.60Lower$4.40
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedNot documented
Audio inputNot documentedNot documented
Structured outputNot documentedNot documented
LicenseProprietaryNot documented

Workload guidance

Which model should you choose?

Consider Qwen3-VL Plus if you need a lower listed input rate or a lower listed output rate. Consider zai-org/GLM-5.2 if you need larger context or larger maximum output. 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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