MiMo-V2.6-Pro
Xiaomi's September 2026 flagship reasoning model — a 1.02-trillion-parameter Mixture-of-Experts model (about 42B active) that briefly topped the open-weight field on independent benchmarks, shipped as MIT-licensed weights with a roughly million-token context and omni-modal input.
Last verified · 2026-10-23 · by Moe Ameen
Published 2026-09-22 · Updated
Short answer
MiMo-V2.6-Pro is Xiaomi's flagship reasoning model, released September 22, 2026, with about 1.02 trillion total parameters and 42 billion active. It reads text, images, audio, and video, has a one-million-token context, and ships MIT-licensed weights on Hugging Face. It scored 46 on the Artificial Analysis Intelligence Index, first among open-weight models, though its hosted speed is below the median.
Key takeaways
- Mixture-of-Experts: about 1.02 trillion parameters, 42 billion active per token.
- It scores 46 on Artificial Analysis, top among open-weight models.
- Reported agentic scores: 89.9 on Terminal Bench 2.1, 94.0 on CyberGym, 71.9 on DeepSWE v1.1.
- Weights are MIT-licensed; the hosted API costs about $0.43 input and $0.87 output per million.
- Hosted speed measured about 53 tokens per second, below the median.
What is MiMo-V2.6-Pro?
MiMo-V2.6-Pro is the flagship model in Xiaomi's MiMo-V2.6 series, released September 22, 2026. It is a reasoning model with a Mixture-of-Experts architecture — roughly 1.02 trillion total parameters with about 42 billion active per token — which is how it delivers frontier-adjacent reasoning without a frontier's inference cost. It takes text, images, audio, and video as input, outputs text, and carries a context window of roughly one million tokens. Like a modern chain-of-thought model, it reasons before it answers.
Pro is the variant that made headlines. At launch it scored 46 on the Artificial Analysis Intelligence Index, the same score Artificial Analysis gives Grok 4.7, and took the top slot among open-weight models.
Its agentic and coding results were the standout: reported figures of 89.9% on Terminal Bench 2.1, 94.0% on CyberGym, and 71.9% on DeepSWE v1.1. Just as important as the scores is how it shipped — Xiaomi published the weights on Hugging Face under an MIT license (commercial use and self-hosting of the trillion-parameter flagship permitted), alongside a 9-billion-parameter distilled model, a fine-tune of Qwen3.5-9B released as a starting point for open research.
You can reach MiMo-V2.6-Pro through Xiaomi's own MiMo API platform and third-party gateways such as OpenRouter, using a standard chat-completions interface with tool use and structured output, or download it and run it on your own hardware.
Two honest caveats from independent testing: on the hosted API its serving speed measured below the median (around 53 tokens per second) and its output ran verbose, and self-hosting a trillion-parameter checkpoint takes serious GPU infrastructure even though the weights are free. Because the model is new, treat exact pricing and benchmark scores as a snapshot and confirm them on Xiaomi's official pages.
What can you make with MiMo-V2.6-Pro?
- Deep reasoning and strategy over a hard problem or a large brief — an audience-research pass, a content-strategy plan, a competitive teardown — thought through in a single long-context prompt
- Agentic and coding output: multi-step task execution, terminal and tool-calling work, and code generation, where its benchmark strengths actually live
- Notes, outlines, and structured analysis pulled directly from audio or video, since it ingests recordings without a separate transcription step
- Machine-readable (JSON) results for a pipeline, app, or autonomous agent built on the API — or self-hosted under the MIT license
- Long-form draft copy, rewrites, and extraction of the strongest angles and quotes from a big input
- Note: it outputs text and analysis — it does not produce captioned clips, carousels, persona video, images, publish-ready blogs, or anything scheduled to a platform
How does Kompozy turn a MiMo-V2.6-Pro strategy into published posts?
MiMo-V2.6-Pro's real edge is not that it drafts a caption — the cheaper Flash tier can do that — it is that it reasons and plans. Give it your audience data, a quarter of analytics, or a messy research folder and it will think through the whole thing agentically and hand back a genuine content strategy: the angles worth making, the sequence to make them in, the hooks that fit each platform.
Because the weights are MIT-licensed, you can even run that strategist on your own hardware and own it outright. But a strategy no one sees is worthless, and MiMo-Pro stops at the plan — it composes nothing, brands nothing, and publishes nothing. Kompozy is the execution layer that turns the plan into the posts.
Let MiMo-Pro reason over the source and produce the brief, then hand that brief and the underlying material to Kompozy. Set a Persona Brief so voice, terminology, and banned words govern every output, and Kompozy fans the plan into the formats the model can't touch — Clipped Shorts cut from a long video at its strongest moments, captioned Persona Shorts and brand-exact Persona Frames fronted by a face-locked avatar, brand-exact Carousel Posts, Photo Posts, Quote Graphics, a Blog Article, and an Email Newsletter.
Then Autopilot schedules and publishes the whole set across the eight social platforms plus blog and email, each behind a per-post review gate. MiMo-Pro does the strategy upstream; Kompozy is the studio that ships it.
- Use MiMo-V2.6-Pro for the hard thinking: reason over your audience data, analytics, or research corpus and produce a concrete content strategy and the strongest angles.
- Bring that brief and the underlying source into Kompozy and set a Persona Brief so your voice, terminology, and banned words carry across every output.
- Fan the plan into finished formats: Clipped Shorts, a captioned persona or avatar video, brand-exact carousels, photo posts, quote graphics, a blog, and a newsletter.
- Review the batch in the per-post queue and let Kompozy reframe each clip and post for TikTok, Reels, Shorts, X, LinkedIn, and the rest.
- Let Autopilot schedule and publish across the eight social platforms plus blog and email.
What does this look like in Kompozy?
A real Infographic photo post generated in the Kompozy workspace. It shows a format a content strategy can turn into; it was not planned with MiMo-V2.6-Pro.
Who is this for, and who should skip it?
Best for:
- Teams that want a top open-weight model for agentic and coding work
- Builders who need audio and video input without a separate transcription step
- Organizations that want to self-host under an MIT license
Not ideal for:
- Latency-sensitive apps, given below-median hosted speed
- Small teams without serious GPUs who want to self-host
- Anyone who wants finished media from the model
Frequently asked questions
What is MiMo-V2.6-Pro?
It is the flagship model in Xiaomi's MiMo-V2.6 series, released September 22, 2026 — a Mixture-of-Experts reasoning model with roughly 1.02 trillion total parameters (about 42 billion active), omni-modal input, a roughly million-token context, and MIT-licensed open weights. At launch it took the top open-weight slot on the Artificial Analysis Intelligence Index.
What is MiMo-V2.6-Pro good at?
Hard reasoning and agentic work. It scored 46 on the Artificial Analysis Intelligence Index (level with Grok 4.7) and posted strong coding and agentic benchmarks — a reported 89.9% on Terminal Bench 2.1 and 94.0% on CyberGym. Independent testing did flag below-average serving speed and verbose output on the hosted API.
Can MiMo-V2.6-Pro make social media posts or video?
Not directly. MiMo-Pro is a reasoning model — it reasons and drafts text, and reads images, audio, and video, but it does not caption clips, build carousels, generate persona video, keep a face consistent, or publish. To turn its output into finished, scheduled posts across platforms, pair it with a content engine like Kompozy.
Is MiMo-V2.6-Pro free to use?
The weights are free under an MIT license, so you can self-host at your own compute cost. On the hosted API it was priced at roughly $0.43 per million input tokens and $0.87 per million output tokens at launch. Confirm current rates on Xiaomi's MiMo pages or your gateway.
How do I get MiMo-V2.6-Pro output published across platforms?
Use MiMo-Pro for the reasoning and strategy step, then run the same source through Kompozy: set a Persona Brief for your voice, let it generate Clipped Shorts, persona/avatar video, carousels, photo posts, quote graphics, a blog, and a newsletter, and let Autopilot schedule and publish across the eight social platforms plus blog and email.
How do we know this?
We checked every figure on this page against the sources listed below on 2026-10-23 and removed or corrected any claim we could not confirm. Index score, speed, and hosted prices come from Artificial Analysis; parameters, release date, benchmarks, and license come from eesel AI's write-up because Xiaomi's model card did not load for us. Kompozy plan and format details come from kompozy.io and kompozy.io/pricing.
Sources
- Artificial Analysis — MiMo-V2.6-Pro (read 2026-10-23)
- Artificial Analysis — Grok 4.7 (read 2026-10-23)
- eesel AI — Xiaomi MiMo V2.6: specs, benchmarks, and how to run the open model (read 2026-10-23)
- Kompozy — Home (formats and platforms) (read 2026-10-23)
Related tools
- Xiaomi MiMo-V2.6 — Xiaomi's September 2026 omni-modal reasoning series — a trillion-parameter flagship (Pro), a low-cost workhorse (Flash), and a latency-tuned UltraSpeed variant, all three sharing a roughly million-token context and reachable through a standard API or, for Pro and Flash, open MIT-licensed weights.
- DeepSeek V4.1 Flash — DeepSeek's re-architected, natively multimodal Flash model — it reads images alongside text at V4-Flash pricing, and DeepSeek says it surpasses the larger V4-Pro on performance, cost, and speed.
- OpenRouter — A unified, OpenAI-compatible API that routes one endpoint to 400+ large language models from dozens of providers — with automatic fallback, cost and speed routing, and a single shared credit balance.