Open weights · MIT licence · released 22 Sep 2026 · wired into my Agent OS

Xiaomi MiMo-V2.6: open weights that match Opus 5

Pro and Flash. Both inside the Agent OS. Both building real apps in this guide.

Xiaomi just released MiMo-V2.6, an open-weight AI model that matches Claude Opus 5 on most agent benchmarks.

It scores 46 on the Artificial Analysis Intelligence Index, the highest of any open-source model, and it costs cents per million tokens.

I wired both versions into my Agent OS this morning, and in this guide you'll watch them build real apps live on screen.

You'll see exactly where it beats the big closed models, and the one place it still loses.

Stick with me to the end, because the setup takes five minutes and I show every click.

The vault opens. The weights pour out. Everyone gets to build with them. That is what open weights at this level means.

46.3
AA Intelligence Index · top open model
1.02T
total params · 42B active (Pro)
$0.44
per M input tokens (Pro)
1M
token context · text, image, video, audio
Real-world software fixes: DeepSWE v1.1 (%)Claude Opus 5 (closed)74.0GPT-5.6 Sol (closed)73.0MiMo-V2.6 Pro (open)71.9MiMo-V2.6 Flash (open)67.9two points behind Opus 5 · you can download this one
Xiaomi's published numbers · model card + launch post
See it + try it yourself ↓
"Frontier intelligence, all the modalities, built in public."— Xiaomi MiMo, launch post, 22 September 2026
§1I · the problem

The Rented Brain Problem

Imagine the smartest person you have ever worked with.

Now imagine you can only talk to them through a locked window, at a price someone else sets.

You can't see how they think. You can't take them home. You can't run them on your own machine.

And one morning the window can simply close.

That's what building on a closed frontier model is like.

Every app you build, every agent you run, is rented from the one company that holds the weights.

MiMo-V2.6 breaks that. Opus-level agent scores, and the weights are yours to download.

Closed model vs open weightsClosed modelrent it · their price Open weightsdownload it · yours
THINKING IT? "Open models are always a year behind the closed ones."

Not any more. On DeepSWE it's two points behind Opus 5, and on AutomationBench it's ahead.

The numbers are in the next sections, from Xiaomi's own model card.

§2II · the stack

Two models, one tab, one shared brain

Most people think of these as three separate things. They're one pipeline.

🧠
the flagship

MiMo-V2.6 Pro

1.02 trillion parameters, 42 billion active. On par with Opus 5 and GPT-5.6 Sol on most agent benchmarks. $0.435 in, $0.87 out per million tokens.

the fast one

MiMo-V2.6 Flash

The smaller sibling, a 159B-class open model. Only a few points behind Pro, at $0.14 in and $0.28 out. It thinks before it writes, so give it token room.

🖥️
where it lives

The Agent OS · MiMo Code

A new tab in my Agent OS. Pick Pro or Flash, type a prompt, watch it build live, save the build. Same workspace pattern as every other agent in the OS.

What Xiaomi actually releasedMITweights · commercial OK1Mtoken context window4text image video audioRL codeenvs + training codeTech reportthe full PDF30 stepsof scaled RL per model
Xiaomi's published numbers · model card + launch post
THINKING IT? "Isn't this a Chinese model I can't trust with my business?"

The weights are public, under MIT, on Hugging Face. You can run them on your own hardware where nothing leaves your machine.

In the Agent OS I run it through OpenRouter for speed, and I'd never paste client secrets into any cloud model, this one or Claude.

§3III · how it works

From a sentence to a saved app, in five steps

Here is exactly what happens when you hit Build in the MiMo Code tab. No mystery.

i.

Prompt

You type what you want in plain words. The tab adds one steering line: ship a complete single-file app that renders on load.

ii.

Reason

MiMo thinks first. You see the thinking stream in as it plans the build. Flash spent 86,000 characters planning one starfield before it wrote a line.

iii.

Write

The HTML streams into the panel token by token, the same way you'd watch it type.

iv.

Preview

The moment the code block closes, it renders live in the preview pane. Games run, charts animate, buttons click.

v.

Save

One click writes it to your workspace folder on disk, and the chat auto-saves beside it. It survives a refresh, a restart, a new machine.

Prompt → Reason → Write → Preview → SavePromptwordsReasonthinksWritestreamsPreviewrenders Savedisk
THINKING IT? "It reasons for minutes. That's too slow to be useful."

For a one-shot app build, minutes is fine, because you get a finished thing at the end instead of a draft.

For quick chat you use Flash, or turn the reasoning effort down. Both take one click.

§4IV · Pro builds

Three one-shot apps from Pro

Every build below came out of the tab in one prompt. No fixes, no second try, including the one that came out weak.

What you're watching: the neon snake game Pro built from one sentence, played by my test harness. Arrow keys work, the score climbs, the trail glows. Build time 8 min 28 s.

real run on my Mac · Agent OS at localhost:3737

What you're watching: the weak one. Pro built a slick orbital atlas with a click-to-select planet panel, but the 3D scene itself came out too dark and it threw three console errors. Build time 8 min 11 s. I left it in on purpose.

real run on my Mac · Agent OS at localhost:3737

What you're watching: the analytics dashboard Pro built with no chart library, count-up numbers, a canvas line chart and bar chart, and a glass sidebar. Build time 4 min 10 s.

real run on my Mac · Agent OS at localhost:3737
§5V · Flash builds

Two apps from Flash, for pennies

Flash is the one I'd run all day. Same tab, same prompt style, a fraction of the price.

What you're watching: the parallax starfield Flash built, with the warp effect on mouse hold. It planned for 3 min 31 s before writing, then shipped 29 kilobytes in one go.

real run on my Mac · Agent OS at localhost:3737

What you're watching: the pricing page Flash built, monthly-yearly toggle animating the prices, hover glow, FAQ accordion. Build time 1 min 50 s.

real run on my Mac · Agent OS at localhost:3737
Both models stream their thinkingPreview renders the moment the code closesSaved to ~/.agentic-os/mimo-coder-workspace/
Open weights used to mean 'good enough'. This is the first time it means 'as good'.
§6VI · the benchmarks

Where it beats the closed models, and where it doesn't

These are Xiaomi's numbers from the model card, side by side with the two best closed models.

Agentic automation: AutomationBench v1.0.6 (%)MiMo-V2.6 Pro (open)53.1MiMo-V2.6 Flash (open)52.3Claude Opus 550.3GPT-5.6 Sol45.8the open model wins this one outright
Using a real computer: OSWorld-Verified (%)Claude Opus 583.4GPT-5.6 Sol83.0MiMo-V2.6 Pro (open)82.0MiMo-V2.6 Flash (open)80.8a point and a half behind on computer use
Visual coding: MiMo VisualCoding (%)GPT-5.6 Sol73.4MiMo-V2.6 Pro (open)72.3MiMo-V2.6 Flash (open)71.5Claude Opus 570.0ahead of Opus 5, behind Sol, on Xiaomi's own visual test
Xiaomi's published numbers · model card + launch post
MiMo Code Bench: Opus 5 68.6 · Pro 63.2 · Sol 59.3The one clear loss: pure coding agent work vs Opus 5AA Intelligence Index v4.3: 46.32
THINKING IT? "Every lab picks the benchmarks it wins."

True, which is why the loss is on this page too. On MiMo Code Bench, Opus 5 is five points ahead.

For app builds, computer use and automations, the gap is one to two points, or reversed.

§7VII · the price

Frontier scores for cents

Input price per million tokens (USD)Grok 4.6$2.00Grok 4.7$1.60MiMo-V2.6 Pro$0.435MiMo-V2.6 Flash$0.14output: Flash $0.28 · Pro $0.87 · cache hits drop to fractions of a cent
What the reinforcement learning cost Xiaomi$2.62MPro · 30 RL steps$0.85MFlash · 30 RL steps750ktrajectories per run+12%Pro pass rate gain+25%Flash pass rate gain1,568samples per update
Xiaomi's published numbers · model card + launch post
Pro-UltraSpeed: 20x faster output at $4.35 / $8.70Released 22 Sep 2026Also on AI Studio, MiMo Code, MiMo Desktop
§8VIII · old way vs new way

What this gives you back

OLD WAY · closed frontier only
$2–$6 per M · rented
  • Pay frontier prices for every token, every day
  • Never see the weights, never run it yourself
  • Your app lives or dies on one vendor's roadmap
  • Switching models means rewiring everything
  • Cheap open models were a clear step down
NEW WAY · MiMo-V2.6 in the Agent OS
$0.14–$0.87 per M · yours
  • Opus-level agent scores for cents per million tokens
  • Download the weights and run them anywhere
  • Pro for the hard builds, Flash for everything else
  • One tab, one workspace, next to every other agent
  • Open RL code and environments to train your own
THINKING IT? "I already pay for Claude. Why add another model?"

Because 90% of your builds don't need the most expensive brain, and this one is a rounding error on the bill.

The Agent OS keeps Claude for the hard thinking and hands the volume work to MiMo.

§9IX · the SOP

Set it up today

Phase 1 · The key
1

Get an OpenRouter key from openrouter.ai/keys. Both MiMo models are listed there, first-party from Xiaomi.

2

Put it in ~/.hermes/.env as OPENROUTER_API_KEY=…. The Agent OS reads it from there.

Phase 2 · First contact
3

Run the curl below. If you see OK from MiMo, you're connected.

4

Give Flash a real token budget. It reasons before it answers, so a 60-token cap comes back empty. 4,000 is plenty for chat, 64,000 for builds.

Phase 3 · The tab
5

Open localhost:3737/mimo-code. The status pill goes green when the key is found.

6

Pick Pro or Flash at the top of the prompt box. Type what you want. Hit Build.

Phase 4 · Keep it
7

When the preview renders, click Save build. It lands in ~/.agentic-os/mimo-coder-workspace/builds/.

8

Your chats auto-save beside it. Come back tomorrow, click the session, keep going.

curl https://openrouter.ai/api/v1/chat/completions \ -H "Authorization: Bearer $OPENROUTER_API_KEY" -H "Content-Type: application/json" \ -d '{"model":"xiaomi/mimo-v2.6-pro","max_tokens":4000,"messages":[{"role":"user","content":"Reply with exactly: OK from "}]}'

What you're watching: my first contact with both models. Pro answers straight away. Flash comes back empty at 60 tokens because it spent them all thinking, then answers fine with room to reason.

real session · replayed at reading pace

What you're watching: the Agent OS status endpoint for the new tab reporting both models live, then the tab opening.

real session · replayed at reading pace

In the Agent OS, steps 5 to 8 are already wired. You add the key once and the tab does the rest.

§10Skip the setup Over 3,900 business owners · many had never touched AI before

Get the Agent OS with MiMo already wired in.

You can wire this together yourself with the SOP above. Or get the whole thing done inside the Agent Operating System: the MiMo Code tab, Claude, Hermes, OpenClaw and every other agent, all sharing one memory.

The full Agent OS zip — the MiMo Code tab, Pro and Flash, already wired
Four coaching calls every week — bring your setup and we fix it live
The video walkthrough — every click, from key to saved build
The 30-day roadmap — to get it live in your business
A room of 3,900+ operators — running this exact stack in 38 countries
The prompts, the SOPs, and a member map — for your city
Get the Agent OS → Inside the AI Profit Boardroom · skool.com/ai-profit-lab
Link in the description · used in 38 countries
THINKING IT? "Doesn't running an Agent OS burn a fortune in tokens?"

No. That's the biggest myth about it. The everyday 90% runs on free local models and cheap open ones like MiMo Flash, and the frontier work drives the CLIs you already pay for, like the Claude CLI inside your Claude subscription.

Inside the Boardroom there are token-efficiency tutorials too, so you learn to cut usage and stop thinking about it.

§11X · why listen to me

I run my whole business on this Agent OS

This isn't theory. The tab in this guide is the one I built this morning, and every build above came out of it today.

400KYouTube subscribers
3,900+members in the Boardroom
38countries · live members
163Kfollowers on X

Members post their wins every day, agency owners, ecom founders, course creators and solo operators, in their own words.

Read the 158-page wins doc →
§12XI · three beliefs to drop

What's holding you back

Wrong: "Open-weight models are toys next to Claude and GPT."
Right: MiMo-V2.6 Pro is two points behind Opus 5 on DeepSWE and ahead of it on AutomationBench, at a twentieth of a frontier bill.
Wrong: "Adding another model means another dashboard, another login, another mess."
Right: In the Agent OS it's one more tab beside Claude, Hermes and OpenClaw, with the same workspace and the same memory.
Wrong: "I need to be technical to use a model like this."
Right: One key in one file, then you type sentences and click Build. The hardest part is deciding what to build first.
Plenty of members had never used AI at all

158 pages of members, real businesses, real wins, already building on this stack.

Read the 158-page testimonials doc →
§13XII · the 30-day roadmap

Make it part of your business

Week 1 · Install

Connect

Add the key, open the tab, build five small things with Flash. Get a feel for how it thinks before it writes.

Week 2 · Route

Split the work

Move your volume jobs to Flash, your hard builds to Pro, and keep Claude for the thinking. Watch the bill drop.

Week 3 · Ship

Build for clients

Landing pages, dashboards, internal tools. One prompt each, saved to the workspace, previewed before anyone sees them.

Week 4 · Own it

Run the weights

Pull the MIT weights from Hugging Face and run Flash on your own hardware for the jobs that can never leave the building.

Stop renting the brain. Download it.
§14Build the stack Over 3,900 business owners · someone's always online

Give every agent the cheapest frontier brain there is.

Grab the Agent Operating System inside the AI Profit Boardroom. MiMo Pro and Flash, Claude, Hermes, OpenClaw, one workspace, one memory, all wired and ready. You add one key and go.

The full zip — the MiMo Code tab and every other agent
Coaching calls — where we set up your stack together
3,900+ members — daily tutorials and a member map
Daily updates — every new model the week it ships
158 pages of real wins — read them inside
Get the Agent OS → Inside the AI Profit Boardroom · skool.com/ai-profit-lab
Set it up once. Every new open model drops straight in. I'll see you in the next one.
the recap

What you now have

i.

You solved the Rented Brain Problem. Opus-level scores, weights you can download.

ii.

Pro + Flash + the Agent OS. Two models, one tab, one workspace.

iii.

The five steps. Prompt → Reason → Write → Preview → Save.

iv.

Five real builds. Snake, solar system, dashboard, starfield, pricing page. One prompt each.

v.

The honest scoreboard. Ahead on automations, level on computer use, behind on pure coding agents.

vi.

The price. $0.14 to $0.87 per million tokens. Frontier scores for cents.