Source reviewedXiaomi MiMo official documentation
MiMo-V2.6-Flash Web Search Tool-Calling Workflow
For mimo-v2.6-flash, first enable the Web Search Plugin in MiMo Console, then call the web_search tool through OpenAI Chat Completions; when real-time information is needed, use force_search: true, and use max_keyword to control the number of concurrent keywords per round and potential call costs.
Content typeWorkflow
Inputstask goal, input material, tool or step constraints, acceptance criteria
StatusMiMo API's OpenAI Chat Completions; the documentation says that other API protocols are not currently supported.
AgentInformation extraction
Source reviewedXiaomi MiMo official documentation
MiMo-V2.6-Flash Deep Thinking Configuration and Multi-turn Tool-calling Workflow
mimo-v2.6-flash supports toggling deep thinking with thinking.type, which is enabled by default. When it is enabled, do not customize temperature or top_p, and pass through the historical assistant messages' reasoning_content in full during multi-turn tool calls.
Content typeConfiguration
Inputsmodel ID, reasoning or call parameters, API endpoint, task, acceptance criteria
StatusThe OpenAI Chat Completions-compatible interface of the MiMo API; in the Python SDK, thinking is not a standard OpenAI parameter and must be placed in extra_body.
API configurationAgent
Source reviewedXiaomi MiMo official documentation
MiMo-V2.6-Flash Structured Output: JSON Mode Configuration and Validation Workflow
The official documentation lists mimo-v2.6-flash as a model that supports JSON mode. When calling it, set response_format={"type": "json_object"} and explicitly require the system or user message to return JSON only, with fields, hierarchy, and types fully defined. This mode guarantees only valid JSON syntax, not the business structure, so production environments should still validate against a JSON Schema.
Content typeConfiguration
Inputsmodel ID, reasoning or call parameters, API endpoint, task, acceptance criteria
StatusMiMo API; the source uses the OpenAI Python SDK and Curl examples, with base_url set to https://api.xiaomimimo.com/v1 in the examples.
API configuration
Source reviewedXiaomi MiMo official documentation
MiMo-V2.6-Flash Image Understanding Inputs and Multi-image Workflow
The official documentation lists mimo-v2.6-flash as a supported image-understanding model. Images can be provided through a public URL or Base64, and multiple images can be compared; the documentation does not provide a Flash-specific response, so the Pro example output, token usage, and results shown on the page cannot be extrapolated to Flash.
Content typeWorkflow
Inputstask goal, input material, tool or step constraints, acceptance criteria
StatusThe MiMo API's OpenAI Chat Completions API; the source also provides the image content format for the Anthropic Messages API. The examples use the Python SDK and Curl.
Visual prototype
Source reviewedOfficial Xiaomi MiMo documentation
MiMo-V2.6-Flash Batch API batch inference workflow
mimo-v2.6-flash can process large-scale requests asynchronously through an OpenAI-compatible Batch API: prepare a JSONL file, upload the file, create a batch job, query its status, and download successful or error results. The official documentation says batch inference costs 50% of the real-time API price.
Content typeWorkflow
Inputstask goal, input material, tool or step constraints, acceptance criteria
StatusXiaomi MiMo Batch API; the API is compatible with the OpenAI protocol and can be used with Curl or the OpenAI Python SDK.
API configuration
Source reviewedXiaomi MiMo official documentation
MiMo-V2.6-Flash Audio Understanding Workflow: URL and Base64 Input Configuration
mimo-v2.6-flash supports audio understanding: place the audio as input_audio in the user message, then append a text task instruction. The audio can be provided through a public URL or Base64 with a MIME prefix; local files cannot be uploaded directly.
Content typeWorkflow
Inputstask goal, input material, tool or step constraints, acceptance criteria
StatusMiMo API's OpenAI-compatible Chat Completions; the official examples use the OpenAI Python SDK and Curl, with the API endpoint https://api.xiaomimimo.com/v1.
API configurationInformation extraction
Source reviewedXiaomi MiMo official documentation
MiMo-V2.6-Flash Video Understanding Input and Workflow
The official documentation lists mimo-v2.6-flash as a supported model for video understanding. Videos can be supplied through a publicly accessible video URL or a Base64 Data URL with a MIME prefix, while fps and media_resolution control temporal sampling and per-frame detail. The page examples use mimo-v2.6-pro and do not constitute measured results for Flash.
Content typeWorkflow
Inputstask goal, input material, tool or step constraints, acceptance criteria
StatusThe MiMo API's OpenAI Chat Completions API; the source examples use the Python SDK and Curl.
Visual prototype
