AIREITER
xiaomiText Chat

MiMo V2.6 Pro

Access Xiaomi MiMo V2.6 Pro with 1M context. 1.02T sparse MoE with 42B active parameters. Native omnimodal reasoning across text, image, video, and audio for complex coding and agents.

InputAIReiter $0.435 per 1M tokensOutputAIReiter $0.87 per 1M tokens
Run with API

INPUT

OUTPUT

Example
Generated in
42.7 seconds
Input tokens
134
Output tokens
2354
Tokens per second
55.13 tokens / second
Time to first token
-

Model details

Use the same model key in Playground, API requests, and internal workflows.

Model ID
mimo-v2.6-pro
Provider
xiaomi
Protocol
OpenAI Chat Completions
Context window
1,048,576 tokens
Max output
131,072 tokens
Input tokens
43.5 credits / 1M tokens
Output tokens
87 credits / 1M tokens
Cache read
-
Cache write
-

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

Both V2.6 models feature the identical 1M context window and multimodal ingestion. Match your compute tier to the task profile.
01

Choose MiMo V2.6 Pro

System architecture design, complex repository refactoring, mission-critical autonomous agents, and high-stakes analytical tasks where precision overrides speed.

02

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.

03

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.

04

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.

01

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.

02

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 }

03

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.

/ 01

What 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.

/ 02

What 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.

/ 03

How 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.

/ 04

What is the official API model identifier?

Pass mimo-v2.6-pro in the model field of your Chat Completions request.

/ 05

How 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.