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Xiaomi · Official-source model record

mimo-v2.6-flash

MiMo · Version mimo-v2.6-flash

AvailableChecked Oct 23, 2026
Editorial (0) ↓Download model brief (.md)

Publisher-sourced inventory. Specifications come from official documentation and model cards. “Not documented” means we have no verified value. This inventory is separate from our editorial reviews.

Coverage & sources ↗

Current catalog answers

What to know about mimo-v2.6-flash

AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.

Which mimo-v2.6-flash does this page describe?

mimo-v2.6-flash is a model record from Xiaomi in the MiMo family. Source

The recorded model identifier or checkpoint is mimo-v2.6-flash. Use that exact identifier when checking documentation or a provider listing. Source

How can you access mimo-v2.6-flash?

The catalog documents API access for mimo-v2.6-flash. Source

As of the catalog check, this version was listed as available. Source

For API use, confirm the exact model identifier, your account and region, and the endpoint's current limits in the linked documentation. An API listing does not establish access through a consumer subscription.

How much does mimo-v2.6-flash cost?

The recorded token rates for mimo-v2.6-flash are:

  • Input: US$0.14 per 1 million input tokens. Source
  • Output: US$0.28 per 1 million output tokens. Source

Rate conditions: Published standard USD per million tokens, uncached input; region, prompt length, caching and service-tier adjustments may apply. See official source. Source

Illustrative arithmetic: 10,000 input tokens plus 2,000 output tokens would cost US$0.00196 at those recorded rates. This assumes every token is billed at the displayed rate and excludes any cache, batch, tool, storage or tier adjustments; it is not a quote or measured usage.

Check the source's pricing conditions before budgeting. A token rate does not state the price of an app subscription or the full cost of running downloaded weights.

What are mimo-v2.6-flash's context and output limits?

The documented context window is 1,000,000 tokens. Source

A separate maximum-output value is not established in this record. The context or input figure should not be used as an output allowance.

Context, input and output limits describe different constraints. Do not add the figures together to infer a larger window. Check the endpoint's accounting for conversation history, system instructions, tools, media and generated tokens; a documented maximum is not a guarantee of answer quality or a measured usable capacity.

What dates are documented for mimo-v2.6-flash?

Release date: September 22, 2026. Source This is a release milestone, not a knowledge or training cutoff. The source labels this “Explicit official hosted-model release date; not an inferred weight-upload date.”

Neither a knowledge cutoff nor a training-data cutoff is established here. A release date, repository upload or filename cannot supply those missing dates.

What can mimo-v2.6-flash receive and generate?

Documented inputs: text, image, video, and audio. Source

Documented outputs: text. Source

Input support and output generation are separate capabilities. Reading an image does not establish image generation; a text output listing does not establish speech output. File sizes, formats and media limits depend on the documented implementation.

Keep the exact version in view

Other MiMo models from Xiaomi.

These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses.

mimo-v2.6-pro

API · 1,000,000 context tokens

MiMo-V2.5

Open weights

MiMo-7B-RL

Open weights

The documented record

Specifications, with their sources.

A missing value remains unknown. Input limits, output limits and the total context window are separate measurements.

Publisher
XiaomiSource ↗
Family
MiMoSource ↗
Version
mimo-v2.6-flashSource ↗
Availability
AvailableSource ↗
Access
APISource ↗
Inputs
Text · Image · Video · AudioSource ↗
Outputs
TextSource ↗
Context window
1,000,000 tokensSource ↗
Maximum input
Not documented
Maximum output
Not documented
Knowledge cutoff
Not documented
Training-data cutoff
Not documented
Training completed
Not documented
Release date
Sep 22, 2026Explicit official hosted-model release date; not an inferred weight-upload date · day precisionSource ↗
License
Not documented
Input price / 1M tokens
$0.14Source ↗
Output price / 1M tokens
$0.28Source ↗

Read this with the numbers.

128K maximum-output label; exact integer ceiling unverified. Sample code contains an older example system prompt, which is not accepted as evidence of this model version’s knowledge cutoff.

Published standard USD per million tokens, uncached input; region, prompt length, caching and service-tier adjustments may apply. See official source.

Model identifiers and aliases 1
  • mimo-v2.6-flash

Follow the evidence

Official sources.

  1. Official Xiaomi model documentation ↗mimo.mi.com
  2. model.md — official Xiaomi documentation ↗mimo.mi.com

From the Headless Thrones newsroom

Editorial about mimo-v2.6-flash

No published articles are linked to this exact model yet. New coverage will appear here as it is published.

Your starting point

mimo-v2.6-flash

Xiaomi · API

Browse all models ↗
Inputs
Text · Image · Video · AudioSource ↗
Outputs
TextSource ↗
Context window
1,000,000 tokensSource ↗
Knowledge cutoff
Not documented

A place to begin comparing

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Xiaomi

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A record you can follow

The source belongs beside the fact.

Official sources

Model records cite the developer’s documentation, release notes and model cards. A listing alone is not a tested service or a recommendation.

Dates mean different things

Knowledge cutoff, training-data cutoff, training completion and release date are separate fields. A model’s name or repository upload date does not establish any of them.

Limits need context

Some publishers use rounded K/M token figures. Deployment, reasoning settings and regional access can change usable limits. Read the source before choosing.

Coverage and last check

Independent editorial model library assembled from primary vendor documentation and official publisher model cards. This is a dated, auditable inventory of the sources reviewed, not a claim to every model worldwide. First-party language-model inventory for OpenAI, Anthropic, Google Gemini/Gemma, xAI, Meta and Reflection. Includes vendor-listed legacy/retired identities with explicit statuses; official pretrained and instruction-tuned checkpoints remain distinct. Excludes embeddings, moderation/guard models, image/audio/video-only generation, community fine-tunes, speculative draft helpers, format/runtime/quantization duplicates, and PaliGemma dataset-specific benchmark fine-tunes. Availability means documented vendor API or downloadable official weights, not guaranteed account eligibility. Unknown specifications and dates remain null. Rounded K/M limits preserve vendor granularity; exact integers are used only where documented. No OpenRouter facts are used. Primary-source inventory of language-capable models from Alibaba/Qwen, DeepSeek, Moonshot, MiniMax, Z.ai, ByteDance Seed, Tencent, Baidu, Xiaomi, StepFun, 01.AI, Shanghai AI Laboratory, Baichuan and OpenBMB. Includes full reachable official public weight inventories plus documented hosted API models and explicit retirements. Embeddings, reward/classifier/router/tokenizer/draft-head components, standalone OCR/document converters and image/video/audio-only generators are excluded; multimodal language models retained. Official packaging variants are folded into aliases where a canonical listing was identifiable; remaining research/base/SFT variants retain exact identities. Not a guarantee every historical/private/regional model is available. Unknown specifications remain null; K/M API display quantities use decimal normalization where explicitly noted, rather than implying verified exact serving ceilings. Model-name dates and repository creation timestamps are never used as release/training dates. Open weights does not mean unrestricted or OSI-open-source licensing. Some model-card bodies were unreachable; their public inventory metadata is retained and disclosed. Official Mistral, Cohere, AI21, NVIDIA Nemotron, Microsoft Phi/MAI, Amazon Nova, IBM Granite, AllenAI OLMo/Molmo, TII Falcon, Nous Research, Arcee and Essential AI model inventory checked 2026-10-23. Includes base, instruction, reasoning, coding and text-producing multimodal models, including legacy API versions. Excludes embeddings/rerankers/reward and safety classifiers, image/audio/video-only generation, robotics-only models, duplicate quantization/runtime packages, adapters, intermediate checkpoint experiments, and third-party mirrors. Arcee coverage focuses on its named product families rather than exploratory merge repositories. Repository listing means listed, not independently verified API availability. K/M figures are nominal decimal normalizations when the source supplies shorthand; deployment-specific exact token limits may differ. Unverified values remain null. This is a source-backed inventory, not a complete claim-level independent editorial review. Supplemental official Liquid AI, Reka and Inception generative language catalog. Excludes media-only generators and decision/classification-only models. No assumed training dates.

Catalog edition updated . Source links are provided on each model record.

View the full coverage report and discovery sources ↗