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AI model comparison

MiMo V2.6 Flash RL vs MiMo V2.6 Pro RL

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

MiMo V2.6 Pro RL and Flash RL are downloadable multimodal checkpoints in Xiaomi’s MIT-licensed family. Both support long-context agent work and input from text, images, audio and video. Pro has the larger complete expert footprint. A comparison should distinguish this checkpoint choice from a hosted service’s speed tier or billing plan.

Try a codebase change with a failing test, a tool sequence with an incomplete result and a task that depends on supplied visual or audio evidence. Use the same harness and acceptance criteria. Check actual artifacts and recovered errors, then measure the number of attempts needed for a valid result. Keep multimodal preprocessing and conversation history consistent with each model’s documented runtime.

For self-hosting, assess storage, expert-parallel serving, memory and concurrency for the complete checkpoint. Active parameter counts do not establish download or loading requirements. For managed access, use the selected service’s own identifiers, supported modalities and limits.

Side-by-sideCapabilities and practical differences

Xiaomi

MiMo V2.6 Flash RL

MiMo V2.6 Flash RL is Xiaomi’s MIT-licensed multimodal checkpoint for long-context coding and agent work.

Context
1.05M
Input / 1M tokens
From $0.14
Output / 1M tokens
From $0.28

Pricing conditions: Overseas API rates in USD per million tokens: $0.14 uncached input, $0.0028 cached input and $0.28 output. Domestic CNY prices and Token Plan quotas are separate. Web search is billed separately. Batch token rates are half the corresponding realtime rates.

Accepts

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

Produces

  • Text output
Full model profilemimo.mi.com ↗
VS

Xiaomi

MiMo V2.6 Pro RL

MiMo V2.6 Pro RL is Xiaomi’s MIT-licensed multimodal checkpoint for long-context coding and agent work.

Context
1.05M
Input / 1M tokens
From $0.435
Output / 1M tokens
From $0.87

Pricing conditions: Overseas API rates in USD per million tokens: $0.435 uncached input, $0.0036 cached input and $0.87 output. Domestic CNY prices and Token Plan quotas are separate. Web search is billed separately. Batch token rates are half the corresponding realtime rates. The optional mimo-v2.6-pro-ultraspeed route instead costs $4.35/M uncached input, $0.036/M cached input and $8.70/M output, and has no batch API.

Accepts

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

Produces

  • Text output
Full model profilemimo.mi.com ↗

At a glance

Key differences

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

Context capacity

Higher listed limit

MiMo V2.6 Flash RL:1.05M

MiMo V2.6 Pro RL:1.05M

Same value

Specifications

Pricing, limits and capabilities

Specifications for MiMo V2.6 Flash RL and MiMo V2.6 Pro RL. Higher limits and lower prices describe these figures only.
SpecificationMiMo V2.6 Flash RLMiMo V2.6 Pro RL
ProviderXiaomiXiaomi
Listed pricing routeXiaomi MiMo API (overseas)Xiaomi MiMo API (overseas)
Model family——
Accepted inputstext, image, audio, videotext, image, audio, video
Produced outputstexttext
Context window1.05M1.05M
Input price / 1MFrom $0.14From $0.435
Output price / 1MFrom $0.28From $0.87
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputDocumentedDocumented
Structured outputNot documentedNot documented
LicenseMITMIT

Workload guidance

Which model should you choose?

Start with Flash where it completes the required tasks within the serving budget. Evaluate Pro for difficult cases where the larger checkpoint produces enough additional accepted work to justify its operational footprint. Include reasoning, retries and long-input processing in response time and cost measurements. Neither a larger parameter count nor a result from a different agent harness establishes which model will be better for every application.

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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