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AI model comparison

Gemini 1.5 Pro vs MiMo-V2-Omni

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

Gemini 1.5 Pro from Google lists 2M context, 8.19K maximum output, $1.25 input per 1M tokens, $5.00 output per 1M tokens. MiMo-V2-Omni from Xiaomi lists 262.14K context, 131.07K maximum output, $0.14 input per 1M tokens, $0.28 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

Gemini 1.5 Pro

Google's long-context multimodal model with up to 2M token windows.

Context
2M
Max output
8.19K
Input / 1M tokens
$1.25
Output / 1M tokens
$5.00
Output speed
65 t/s

Accepts

  • Text input
  • Image input
  • Audio input
  • Video input

Produces

  • Text output
Full model profileai.google.dev ↗
VS

Xiaomi

MiMo-V2-Omni

MiMo-V2-Omni from Xiaomi: MiMo omni model for text, image, video, audio, and agents.

Context
262.14K
Max output
131.07K
Input / 1M tokens
$0.14
Output / 1M tokens
$0.28

Accepts

  • Text input
  • Image input
  • Audio input
  • Video input
  • PDF 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.

Gemini 1.5 Pro

  • Context capacity: 2M

MiMo-V2-Omni

  • Maximum output: 131.07K

Context capacity

Higher listed limit

Gemini 1.5 Pro:2M

MiMo-V2-Omni:262.14K

Gemini 1.5 Pro

Maximum output

Higher listed limit

Gemini 1.5 Pro:8.19K

MiMo-V2-Omni:131.07K

MiMo-V2-Omni

Specifications

Pricing, limits and capabilities

Specifications for Gemini 1.5 Pro and MiMo-V2-Omni. Higher limits and lower prices describe these figures only.
SpecificationGemini 1.5 ProMiMo-V2-Omni
ProviderGoogleXiaomi
Listed pricing routeGoogleXiaomi
Model familyGemini 1.5mimo
Accepted inputstext, image, audio, videotext, image, audio, video, pdf
Produced outputstexttext
Context window2MHigher262.14K
Max output8.19K131.07KHigher
Input price / 1M$1.25$0.14
Output price / 1M$5.00$0.28
Output speed65 t/s—
Time to first token0.90s—
Reasoning modeNot documentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputDocumentedDocumented
Structured outputDocumentedNot documented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

Consider Gemini 1.5 Pro if you need larger context. Consider MiMo-V2-Omni if you need 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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