AIREITER
xiaomiText Chat

MiMo V2.6 Flash

Xiaomi MiMo V2.6 Flash combines 1,048,576-token context and multimodal capabilities with ultra-low latency. 309B MoE with 15B active parameters at roughly 1/3 the cost of Pro.

InputAIReiter $0.14 per 1M tokensOutputAIReiter $0.28 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-flash
Provider
xiaomi
Protocol
OpenAI Chat Completions
Context window
1,048,576 tokens
Max output
131,072 tokens
Input tokens
14 credits / 1M tokens
Output tokens
28 credits / 1M tokens
Cache read
-
Cache write
-

High-Throughput MoE with Full 1M Context Window

MiMo-V2.6-Flash is Xiaomi's speed-optimized MoE model, delivering instantaneous response times and exceptional throughput while preserving a full 1,048,576-token context window.

15B Active Parameter Efficiency

Featuring 309 billion total parameters with 15 billion active per token, Flash is built for massive concurrency and sub-second time-to-first-token.

Full 1,048,576-Token Memory

Zero compromises on memory: feed entire documentation sites, high-volume transaction logs, or extensive codebases into a high-speed inference pipeline.

Same inputs as Pro

Text, images, video, and audio in. Text out.

Rate on this page

Input $0.14 and output $0.28 per million tokens, about one third of Pro. The figures at the top of the page are the billed rates.

Engineered for High-Concurrency Production Pipelines

Engineered for scenarios where throughput, latency, and operational cost dictate success.

Sub-Agent Swarms & Task Fanouts

The ideal engine for parallel worker agents, iterative search loops, automated data reconciliation, and autonomous task triage pipelines.

Wire-Speed Code Review & Linting

Rapidly scan pull requests, verify syntax and style conformance, suggest inline optimizations, and generate unit tests at wire speed.

Scaled Document Parsing & JSON Extraction

Parse thousands of unstructured invoices, PDFs, reports, and multimodal captures into clean, validated JSON schemas with minimal latency.

Low-Latency Real-Time Conversational UX

Deliver snappy, responsive conversational experiences for customer service, educational tutoring, and live copilots without lag.

Hybrid Fleet Design: The 80/20 Production Blueprint

How production engineering teams combine Flash and Pro for maximum intelligence per infrastructure dollar.
01

80% Workload Allocation to Flash

Route 80% of daily conversational volume, data triage, summarizing, and initial drafting to Flash for maximum throughput and minimal bill size.

02

Instant Escalation to Pro

When an edge case requires multi-repository architectural reasoning or complex mathematical verification, seamlessly elevate that prompt to MiMo V2.6 Pro.

03

Up to 131,072 Output Tokens

Unlike typical lightweight models that limit generation size, Flash can emit up to 128K tokens when large synthetic data or reports are required.

04

Flat Rates with No Cliff Multipliers

Consistent token pricing across the entire 1M context span, with no penalty tiers or unexpected surges as prompt size grows.

Drop-in Deployment in Two Steps

Deploy MiMo V2.6 Flash with standard OpenAI-compatible libraries in seconds.

01

Configure Standard OpenAI Client

Set base URL to https://aireiter.com/api/v1 and provide your AIReiter API key. Compatible with all major orchestration frameworks.

02

Execute High-Speed Completion Request

POST https://aireiter.com/api/v1/chat/completions Authorization: Bearer $AIREITER_API_KEY Content-Type: application/json { "model": "mimo-v2.6-flash", "messages": [ {"role": "user", "content": "Extract all line items and tax totals from this invoice into structured JSON."} ], "temperature": 0.1 }

03

Scale Across Workers

High concurrency limits and rapid token emission make Flash the optimal choice for multi-tenant background workers and batch jobs.

MiMo V2.6 Flash Technical FAQ

Architecture details, performance metrics, and deployment tips.

/ 01

Is Flash's context window smaller than Pro's?

No. Both MiMo V2.6 Flash and Pro share the exact same 1,048,576-token context window and 128K maximum generation limit.

/ 02

What makes Flash significantly faster and cheaper?

Flash activates approximately 15 billion parameters per token (out of 309B total MoE), compared to Pro's 42 billion, cutting computational latency by more than 60%.

/ 03

Does Flash support multimodal inputs like images and audio?

Yes. Flash natively processes text, image files, video frame sequences, and audio inputs with full feature parity.

/ 04

Which model identifier should I send in API calls?

Specify mimo-v2.6-flash in the model field of your Chat Completions request.

/ 05

When should I upgrade a request to MiMo V2.6 Pro?

Upgrade when tasks require deep multi-file architectural refactoring, complex mathematical proofs, or exhaustive cross-domain verification where deep reasoning is essential.