AI model comparison

google/gemma-4-31B-it vs MiMo-V2-Pro

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

google/gemma-4-31B-it from google lists 262.14K context, 32.77K maximum output. 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. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

google

google/gemma-4-31B-it

google/gemma-4-31B-it is a source-linked Hugging Face repository assigned to Image-text-to-text. Its recorded task interface accepts image, text and produces text.

Context
262.14K
Max output
32.77K

Accepts

  • Image input
  • Text input

Produces

  • Text output
VS

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

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

Context capacity

Higher listed limit

google/gemma-4-31B-it:262.14K

MiMo-V2-Pro:1.05M

MiMo-V2-Pro

Maximum output

Higher listed limit

google/gemma-4-31B-it:32.77K

MiMo-V2-Pro:131.07K

MiMo-V2-Pro

Specifications

Pricing, limits and capabilities

Specifications for google/gemma-4-31B-it and MiMo-V2-Pro. Higher limits and lower prices describe these figures only.
Specificationgoogle/gemma-4-31B-itMiMo-V2-Pro
ProvidergoogleXiaomi
Listed pricing routegoogleXiaomi
Model family—mimo
Accepted inputsimage, texttext
Produced outputstexttext
Context window262.14K1.05MHigher
Max output32.77K131.07KHigher
Input price / 1M—$0.435
Output price / 1M—$0.87
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedNot documented
Audio inputNot documentedNot documented
Structured outputNot documentedNot documented
LicenseNot documentedProprietary

Workload guidance

Which model should you choose?

Consider MiMo-V2-Pro if you need larger context or larger maximum output. google/gemma-4-31B-it 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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