Xiaomi MiMo's flagship omnimodal model, open-sourced on September 22, 2026. The API model id is mimo-v2.6-pro. The official model card lists about 1.02T total parameters, 42B active parameters, and a 1M-token context. Availability in Tabbit depends on your account's live model picker.
Use in Tabbit
Use in Tabbit MiMo-V2.6-Pro
MiMo-V2.6-Pro · Model overview
Check the evidence before choosing a workflow
A compact view of reviewed task guides, public evaluations, and evidence boundaries. Client access still depends on your current account.
Task guides4
Review sources6
Sources reviewed10
Editor picks8
Model access and permissions must be checked in the current Tabbit account.
Xiaomi MiMo-V2.6-Pro Official API Integration and Reasoning Configuration
This official configuration can be used to connect to mimo-v2.6-pro through the OpenAI-compatible protocol, with deep thinking, streaming output, and multi-turn tool calls enabled as needed.
Prepare
model ID, reasoning or call parameters, API endpoint, task, acceptance criteria
Runtime
OpenAI Chat Completions API and Anthropic Messages API. The official documentation also lists TRAE, Cursor, Roo Code, Codex, GitHub Copilot CLI, Zed, AutoGen。
Hugging Face Official MiMo-V2.6-Pro-RL Local Deployment and Chat Template Configuration
The official model card provides SGLang and vLLM service commands for MiMo-V2.6-Pro-RL and defines chat-template behavior for text, image, video, audio, thinking, and tool calls in the repository tokenizer configuration; local deployment must use the checkpoint name and must not treat it as the same model identifier as the hosted API's mimo-v2.6-pro.
Prepare
model ID, reasoning or call parameters, API endpoint, task, acceptance criteria
Runtime
The SGLang OpenAI-compatible service and vLLM OpenAI-compatible service provided by the model card; the chat template comes from tokenizer_config.json / chat_template.
Xiaomi MiMo-V2.6-Pro Omnimodal Input and Visual Task Workflow
mimo-v2.6-pro can read publicly accessible URLs or properly formatted Base64 images, videos, and audio through the OpenAI Chat Completions API, but it cannot directly upload local files, and the combined media and text tokens remain subject to the 1M context limit.
Prepare
task goal, input material, tool or step constraints, acceptance criteria
Runtime
OpenAI Chat Completions API and the Python openai SDK; the examples use https://api.xiaomimimo.com/v1.
Xiaomi MiMo-V2.6-Pro Official Function Calling and Multi-Turn Agent Workflow
For mimo-v2.6-pro, the official workflow is “the model returns a complete assistant message, including reasoning_content and tool_calls → the client executes the tools → appends the role: tool results → requests the model again,” repeating until the current turn produces no more tool calls.
Prepare
task goal, input material, tool or step constraints, acceptance criteria
Runtime
An OpenAI Chat Completions-compatible API. The official web search page explicitly says that this plugin does not currently support other API protocols.
Xiaomi MiMo Official Release: MiMo-V2.6-Pro Benchmark Signals and Native Omnimodal Positioning
Xiaomi positions MiMo-V2.6-Pro as a native omnimodal open-source model for agents, coding, vision, and computer use, and reports an Artificial Analysis Intelligence Index score of 46 along with several RL/agent results; these figures remain the vendor's own reporting and cannot replace an independent rerun under the same harness.
Evidence
Vendor report
Boundary
Deciding whether to ship to production based only on official leaderboards; rigorous comparisons requiring independent statistical significance, complete inputs, random seeds, and per-item logs; or treating case demonstrations and claims about what the model “can achieve” as stable success rates.
X (Xiaomi MiMo official account); Xiaomi MiMo official release page linked from the X threadVendor report
MiMo-V2.6-Pro Official X Release Thread: Task Positioning, Public Benchmarks, and Open-Source Entry Points
This official thread positions MiMo-V2.6-Pro as an openly built native omnimodal agent model focused on coding, computer use, 3D, design, research, and tool workflows; its rankings and examples help identify promising task directions, but they remain vendor-reported and cannot replace an independent rerun under the same harness.
Evidence
Vendor report
Boundary
Production decisions based only on claims of being “comparable” or on price ratios in this thread; rigorous comparisons requiring per-item inputs, complete tool schemas, random seeds, failure logs, and statistical significance; or treating a single official case as a stable success rate.
Artificial Analysis: MiMo-V2.6-Pro Intelligence Index, Speed, Pricing, and Latency
Under the Xiaomi provider, reasoning variant, and default production workload of 10,000 input tokens, Artificial Analysis measured MiMo-V2.6-Pro at an Intelligence Index of 46.324 (displayed as 46), output speed of 129.75 tokens/s, 17.58 seconds to the first answer token, and 21.44 seconds for an end-to-end 500-token output; pricing is in the low-cost range。
Evidence
Independent measurement
Boundary
Interactive short-form Q&A where time to first response is highly sensitive; rigorous cross-provider, cross-reasoning-level, or cross-random-seed comparisons; this page has only one Xiaomi provider and cannot represent other deployments.
