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AI model comparison

MiMo-V2-Pro vs GLM-4.6V

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

MiMo-V2-Pro from Xiaomi lists 1.05M context, 131.07K maximum output, $0.435 input per 1M tokens, $0.87 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

Xiaomi

MiMo-V2-Pro

MiMo-V2-Pro from Xiaomi: Earlier MiMo Pro model for multimodal agents, reasoning, and code tasks.

Context
1.05M
Max output
131.07K
Input / 1M tokens
$0.435
Output / 1M tokens
$0.87

Accepts

  • Text input

Produces

  • Text output
Full model profilegithub.com ↗
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
Full model profilegithub.com ↗

At a glance

Key differences

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

MiMo-V2-Pro

  • Context capacity: 1.05M
  • Maximum output: 131.07K
  • Output price: $0.87

GLM-4.6V

  • Input price: $0.30

Context capacity

Higher listed limit

MiMo-V2-Pro:1.05M

GLM-4.6V:128K

MiMo-V2-Pro

Maximum output

Higher listed limit

MiMo-V2-Pro:131.07K

GLM-4.6V:32.77K

MiMo-V2-Pro

Input price

Lower listed token rate

MiMo-V2-Pro:$0.435

GLM-4.6V:$0.30

GLM-4.6V

Output price

Lower listed token rate

MiMo-V2-Pro:$0.87

GLM-4.6V:$0.90

MiMo-V2-Pro

Specifications

Pricing, limits and capabilities

Specifications for MiMo-V2-Pro and GLM-4.6V. Higher limits and lower prices describe these figures only.
SpecificationMiMo-V2-ProGLM-4.6V
ProviderXiaomiZ.ai / Zhipu AI
Listed pricing routeXiaomiZ.ai / Zhipu AI
Model familymimoglm
Accepted inputstexttext, image, video
Produced outputstexttext
Context window1.05MHigher128K
Max output131.07KHigher32.77K
Input price / 1M$0.435$0.30Lower
Output price / 1M$0.87Lower$0.90
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedNot documented
LicenseProprietaryOpen weights

Workload guidance

Which model should you choose?

Consider MiMo-V2-Pro if you need larger context or larger maximum output or a lower listed output rate. Consider GLM-4.6V if you need a lower listed input rate. GLM-4.6V offers downloadable weights; MiMo-V2-Pro 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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