AI model comparison

Qwen Turbo vs MiMo-V2-Omni

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

Qwen Turbo from Alibaba lists 1M context, 16.38K maximum output, $0.05 input per 1M tokens, $0.20 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

Alibaba

Qwen Turbo

Qwen Turbo from Alibaba: Efficient Qwen model for fast chat, extraction, and high-volume workloads.

Context
1M
Max output
16.38K
Input / 1M tokens
$0.05
Output / 1M tokens
$0.20

Accepts

  • Text input

Produces

  • Text output
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

At a glance

Key differences

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

Qwen Turbo

  • Context capacity: 1M
  • Input price: $0.05
  • Output price: $0.20

MiMo-V2-Omni

  • Maximum output: 131.07K

Context capacity

Higher listed limit

Qwen Turbo:1M

MiMo-V2-Omni:262.14K

Qwen Turbo

Maximum output

Higher listed limit

Qwen Turbo:16.38K

MiMo-V2-Omni:131.07K

MiMo-V2-Omni

Input price

Lower listed token rate

Qwen Turbo:$0.05

MiMo-V2-Omni:$0.14

Qwen Turbo

Output price

Lower listed token rate

Qwen Turbo:$0.20

MiMo-V2-Omni:$0.28

Qwen Turbo

Specifications

Pricing, limits and capabilities

Specifications for Qwen Turbo and MiMo-V2-Omni. Higher limits and lower prices describe these figures only.
SpecificationQwen TurboMiMo-V2-Omni
ProviderAlibabaXiaomi
Listed pricing routeAlibabaXiaomi
Model familyqwenmimo
Accepted inputstexttext, image, audio, video, pdf
Produced outputstexttext
Context window1MHigher262.14K
Max output16.38K131.07KHigher
Input price / 1M$0.05Lower$0.14
Output price / 1M$0.20Lower$0.28
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedDocumented
Audio inputNot documentedDocumented
Structured outputNot documentedNot documented
LicenseProprietaryProprietary

Workload guidance

Which model should you choose?

Consider Qwen Turbo if you need larger context or a lower listed input rate or a lower listed output rate. 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.

Compare a different pair

Search by model or provider to explore another comparison.

Open model comparison