Xiaomi 1.02T Flagship Multimodal MoE Architecture
MiMo-V2.6-Pro is Xiaomi's premier open-weights multimodal model under the MIT license, combining a 1.02-trillion-parameter sparse MoE with an expansive 1,048,576-token context window.
Dynamic Sparse MoE (42B Active)
With 42 billion parameters activated dynamically per token out of 1.02 trillion total, Pro achieves frontier-tier reasoning performance while sustaining efficient inference economics.
1,048,576-Token Native Context
Ingest complete software repositories, multi-hour audio recordings, hundreds of research documents, or deep multi-turn agent traces in a single request without context chunking.
Native Omnimodal Perception
A unified multimodal architecture natively processes text, high-resolution imagery, long-form video frames, and spoken audio into high-precision, logically grounded text.
128K Output Token Ceiling
Generate exhaustive end-to-end applications, comprehensive architectural specifications, and complex multi-file refactoring plans in a single uninterrupted generation.
Engineered for Complex Software Engineering & Autonomous Agents
Extensively optimized for multi-step reasoning trajectories, cross-file codebases, and tool-augmented autonomous execution.
Repository-Scale Code Intelligence
Analyze dependencies across complex directory trees, isolate elusive concurrency and memory bugs, and produce verified patches complete with regression unit test suites.
Persistent Multi-Step Agent Planning
Maintains coherent operational state across extended multi-step tool-use loops, decomposing ambiguous instructions into deterministic, verifiable execution sequences.
Native Adaptive Reasoning Engine
Embedded deep-thinking mode explores multiple deductive pathways and validates intermediate hypotheses before synthesizing answers, minimizing hallucinations on difficult edge cases.
Deterministic Tool Use & Schema Adherence
Accepts OpenAI-style function calling and JSON Schema output in the Chat Completions request.
Fleet Strategy: When to Choose Pro vs. Flash
Choose MiMo V2.6 Pro
System architecture design, complex repository refactoring, mission-critical autonomous agents, and high-stakes analytical tasks where precision overrides speed.
Choose MiMo V2.6 Flash
High-throughput processing, sub-agent parallel fanouts, real-time interactive assistants, automated test generation, and continuous background indexing at ~1/3 the cost.
Zero-Friction Model Switching
Switch between Pro and Flash seamlessly by toggling model to mimo-v2.6-pro or mimo-v2.6-flash without modifying request payloads, schemas, or tool definitions.
Transparent Token Settlement
Billed strictly at live token rates ($0.435 in / $0.87 out per 1M tokens) with zero long-context penalty cliffs or hidden platform surcharges.
Quickstart: Call via OpenAI-Compatible API
Integrate MiMo V2.6 Pro into any existing OpenAI SDK client or LangChain/LlamaIndex stack in seconds.
Point Base URL to AIReiter
Set your base URL to https://aireiter.com/api/v1 and provide your AIReiter API key. Use official OpenAI libraries without custom vendor SDKs.
Submit Chat Completion Request
POST https://aireiter.com/api/v1/chat/completions Authorization: Bearer $AIREITER_API_KEY Content-Type: application/json { "model": "mimo-v2.6-pro", "messages": [ {"role": "user", "content": "Analyze this architectural migration plan for race conditions."} ], "temperature": 0.2 }
Production Streaming & Tool Calling
Enable stream: true for real-time typewriter output, and pass standard tools arrays for automated function calling. Reasoning tokens are streamed smoothly.
Technical FAQ & Integration Guide
Technical specifications, multimodal capabilities, and integration guidance for MiMo V2.6 Pro.
/ 01What is the context window and maximum generation length?
MiMo V2.6 Pro features a native 1,048,576 token (1M) context window and supports up to 131,072 tokens (128K) in a single response generation.
/ 02What input modalities does the API support?
The API accepts text, image URLs/base64, audio files, and video clips within standard Chat Completions messages, returning rich structured text.
/ 03How does thinking mode work in MiMo V2.6 Pro?
Thinking mode is enabled by default to ensure rigorous step-by-step reasoning. To adjust or disable it for latency-sensitive tasks, specify thinking parameters in the request payload.
/ 04What is the official API model identifier?
Pass mimo-v2.6-pro in the model field of your Chat Completions request.
/ 05How does AIReiter handle token settlement?
Usage is billed accurately down to the token based on actual prompt and completion lengths, with zero long-context tier multipliers or idle charges.