AI model comparison

Qwen3.8 Max vs GLM-4.6V

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

Qwen3.8 Max from Alibaba lists 1M context, 131.07K maximum output, $2.00 input per 1M tokens, $6.00 output per 1M tokens. GLM-4.6V from Z.ai / Zhipu AI lists 128K context, 32.77K maximum output, $0.30 input per 1M tokens, $0.90 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

Qwen3.8 Max

Qwen3.8 Max from Alibaba: 2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows.

Context
1M
Max output
131.07K
Input / 1M tokens
$2.00
Output / 1M tokens
$6.00

Accepts

  • Text input
  • Image input
  • Video input
  • PDF input

Produces

  • Text output
VS

Z.ai / Zhipu AI

GLM-4.6V

GLM-4.6V from Z.ai / Zhipu AI: GLM vision model for visual reasoning, documents, and multimodal agents.

Context
128K
Max output
32.77K
Input / 1M tokens
$0.30
Output / 1M tokens
$0.90

Accepts

  • Text input
  • Image input
  • Video 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.

Qwen3.8 Max

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

GLM-4.6V

  • Input price: $0.30
  • Output price: $0.90

Context capacity

Higher listed limit

Qwen3.8 Max:1M

GLM-4.6V:128K

Qwen3.8 Max

Maximum output

Higher listed limit

Qwen3.8 Max:131.07K

GLM-4.6V:32.77K

Qwen3.8 Max

Input price

Lower listed token rate

Qwen3.8 Max:$2.00

GLM-4.6V:$0.30

GLM-4.6V

Output price

Lower listed token rate

Qwen3.8 Max:$6.00

GLM-4.6V:$0.90

GLM-4.6V

Specifications

Pricing, limits and capabilities

Specifications for Qwen3.8 Max and GLM-4.6V. Higher limits and lower prices describe these figures only.
SpecificationQwen3.8 MaxGLM-4.6V
ProviderAlibabaZ.ai / Zhipu AI
Listed pricing routeAlibabaZ.ai / Zhipu AI
Model familyqwenglm
Accepted inputstext, image, video, pdftext, image, video
Produced outputstexttext
Context window1MHigher128K
Max output131.07KHigher32.77K
Input price / 1M$2.00$0.30Lower
Output price / 1M$6.00$0.90Lower
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedNot documented
LicenseProprietaryOpen weights

Workload guidance

Which model should you choose?

Consider Qwen3.8 Max if you need larger context or larger maximum output. Consider GLM-4.6V if you need a lower listed input rate or a lower listed output rate. GLM-4.6V offers downloadable weights; Qwen3.8 Max is listed as a proprietary model. Compare licence terms and operating costs before choosing a deployment. 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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