New · Xiaomi MiMo-V2.6 · Pro + Flash · live on OpenRouter

Xiaomi MiMo-V2.6 Pro & Flash, wired into Hermes.

Xiaomi just dropped MiMo-V2.6, and it is the strongest open model anyone has ever released.

Two brains landed at once: a trillion-parameter Pro that sits one point behind GPT-5.6 Sol, and a Flash that costs pennies and still writes working code.

I'm going to show you how to plug both into Hermes and the Agent OS in about ten minutes, so your agents get a frontier brain without the frontier bill.

You'll see it build a full 3D racing game, run a real task inside my dashboard, and answer in under three seconds.

There is one thing you have to get right when you pick between Pro and Flash, and I'll show you exactly where the line is.

By the end, you'll have two new agents running that most people don't even know exist yet.

The big brain wakes only the parts it needs. The small one is built for speed. Both feed the same winged messenger, which is Hermes. That's the whole guide in one picture.

Straight from the source — check it yourself ↓
§1 ────── what just happened

An open model just landed one point behind GPT-5.6 Sol.

MiMo-V2.6-Pro scored 46 on the Artificial Analysis Intelligence Index, the highest any open-weights model has ever reached.

You can download it, and you can run it for less than a dollar per million words out.

Fable 5.1 · Astra53closed Claude Opus 551closed GPT-5.6 Sol47closed MiMo-V2.6-Pro46OPEN · MIT 1 pt Artificial Analysis Intelligence Index · September 2026 the previous MiMo (V2.5-Pro) scored 26 — this is a jump of 20 points in five months Highest open-weights score ever. The old open leaders, GLM-5.3 and Kimi K3, sit at 44.

Index scores as reported by Artificial Analysis on launch day. Closed models on the left, the open one on the right.

Neon Drift · built by MiMo-V2.6-ProOne prompt, one shot, 141 seconds. Lanes, orbs, drift particles, a city skyline, a best-score memory.play it yourself ↗

What you're watching: me driving the game Pro wrote while I was writing this section. Real keypresses, no fixes from me. That run cost 1.7 cents.

§2 ────── the two models

One giant brain. One fast brain. Same eyes and ears.

Pro is over a trillion parameters but only wakes about 42 billion per word. Flash is 309 billion and wakes 15 billion.

Both read text, images, video and audio, and both hold a million tokens at once.

MiMo-V2.6-Pro 1T+total parameters 42Bactive per token 1Mcontext the flagship · hard, long, high-stakes work MiMo-V2.6-Flash 309Btotal parameters 15Bactive per token 1Mcontext the workhorse · high-volume, everyday calls both take text · image · video · audio in · open weights, MIT · + Pro-UltraSpeed (same brain, up to 20× faster)

Parameter counts from Xiaomi's model card and OpenRouter. "Active" is how much of the brain lights up for each word, and that is what you actually pay for.

Orbital Guard · built by MiMo-V2.6-FlashTwo shots: the first framed the planet badly, so I sent the feedback back and Flash fixed its own camera. 1.8 cents total.play it yourself ↗

What you're watching: the cheap model's game after it repaired itself. Asteroids in, shots out, score climbing. A step down from Pro's polish, which is exactly the trade you're making.

§3 ────── the numbers

On agent work it ties or beats Claude Opus 5 in most rooms.

These are Xiaomi's own launch numbers, so hold them loosely. I'll show you where it loses further down.

DeepSWE v1.1 (fix real code) MiMo 71.9 Opus 5 74.0 Terminal Bench 2.1 (run a computer from the command line) MiMo 89.9 · best in category AutomationBench v1.0.6 (multi-step business tasks) MiMo 53.1 next best 50.3 Agents' Last Exam (the hardest agent test) MiMo 31.6 Opus 5 31.6 · a tie Also: OSWorld-Verified 82.0 · Toolathlon-Verified 76.9 · CyberGym 94.0 (Flash: 95.1)

Bars grow to the real scores as you scroll. Green is MiMo-V2.6-Pro, pink is the best closed rival on that test.

§4 ────── the price

Pro is 87 cents per million words out. Flash is 28.

Xiaomi held prices flat from the last generation while the score jumped 20 points, and repeat prompts get a 99% cache discount.

Price per million output tokens (OpenRouter, live on launch day) MiMo-V2.6-Flash $0.28in: $0.14 MiMo-V2.6-Pro $0.87in: $0.435 Pro-UltraSpeed $8.70 · same brain, up to 20× faster Same price as the V2.5 generation. Cache hits on repeated context get a 99% discount.

I pulled these off the OpenRouter model list before writing this. My Pro game cost 1.7 cents, the Flash game 0.7 cents.

§5 ────── the problem

The Two-Bill Problem.

Most people run their agents on one expensive brain.

Every tiny task gets the frontier price, even "rename these files".

So they get scared of the meter, and the agents sit idle.

Or they switch to a cheap model, and the hard jobs quietly come back wrong.

Either way you're paying twice: once in money, once in work you have to redo.

Two open brains at two prices, in one operating system, break that cycle for good.

Thinking it? "Another model launch. I can't keep swapping my whole setup every week."

You don't swap anything. A Hermes profile is one folder with one line that names the model.

Add it, and the Agent OS lists it in the chat picker on its own. The rest of your setup never moves.

§6 ────── how it works, in simple words

A trillion-part brain that only wakes the experts it needs.

Pro has 256 small expert brains inside it, and each word you send wakes only eight of them.

That is why a model this big can cost less than a dollar per million words.

your word"invoice" routerpicks 8 of 256 answer42B did the work 256 experts · only the lit ones run Big brain, small bill: you pay for the experts that woke up, not the ones asleep.

Mixture of experts, drawn honestly: 256 experts, 8 awake per word for Pro. Flash uses the same trick with a smaller crew. Numbers from Xiaomi's model card.

§7 ────── exactly how it works, step by step

One message, traced from your keyboard to Xiaomi and back.

Here is the literal path, with the real timings from my machine.

youAgent OS chat Hermes-p mimo-flash OpenRouterone key, any model MiMo-V2.68 of 256 experts wake reply2.5 s the round trip · measured through the real OS route ← the answer streams back into the same chat thread
  1. A profile is a folder. ~/.hermes/profiles/mimo-flash/ holds one config file that says which model to call and where.
  2. The Agent OS reads that folder list. Every profile folder becomes an option in the chat picker, no code change.
  3. You pick it and type. The OS runs Hermes with the -p mimo-flash flag, so the right brain answers, not the default one.
  4. Hermes calls OpenRouter. One API key you already have reaches every MiMo model, no Xiaomi account needed.
  5. MiMo answers, with tools. It can read files, write files and run commands, the same as any other Hermes brain.
  6. The reply lands in your thread. Each profile keeps its own memory of the conversation, so Pro and Flash never mix up threads.

So when someone asks "but what IS it?": it's two more employees in Hermes, one senior and one fast, hired with one folder each.

§8 ────── old way vs new way

Stop paying frontier prices for "rename these files".

Old wayone brain · one bill
  • Every task, big or small, goes to the priciest model
  • You watch the meter, so agents run less than they should
  • A cheap model means redoing the hard jobs by hand
  • Trying a new model means a weekend of rewiring
  • Closed weights: if the vendor changes the price, you eat it
New waytwo brains · ten minutes
  • Flash takes the everyday 90% at 28 cents per million
  • Pro takes the hard 10% at 87 cents, still under a dollar
  • Both live as Hermes profiles inside one Agent OS
  • Swap brains with a dropdown, threads stay separate
  • Open weights under MIT: you can host it yourself later
§9 ────── step 1 · create the two profiles

Two commands, two new employees.

Clone your working profile so the keys come along, then point each copy at its MiMo model.

What you're watching: my real session, replayed at reading pace. Create, edit the model line, check status.

hermes profile create mimo-pro --clone-from julian --description "Xiaomi MiMo-V2.6-Pro via OpenRouter" hermes profile create mimo-flash --clone-from julian --description "Xiaomi MiMo-V2.6-Flash via OpenRouter"

Then open each profile's config.yaml and set the model block like this (swap pro for flash in the second one):

model: default: xiaomi/mimo-v2.6-pro provider: openrouter base_url: https://openrouter.ai/api/v1 api_mode: chat_completions
Thinking it? "I don't have a Xiaomi account or a Chinese API key."

You don't need one. Both models are on OpenRouter, so the key already in your Hermes profile reaches them.

If you'd rather go direct, Xiaomi's own platform works too, but nothing in this guide needs it.

§10 ────── step 2 · check it's really routing

Never trust the label. Ask the model who it is.

Hermes puts the model and provider in the system prompt, so a one-line question proves the routing.

What you're watching: both profiles answering with their real model id, then the Agent OS profile list showing both. Real outputs from my session.

hermes -p mimo-pro status hermes -p mimo-flash -z "Reply with one line: which model and provider are you?"

Checkpoint: you should see xiaomi/mimo-v2.6-flash in the answer. If it names a different model, the config line didn't save.

§11 ────── step 3 · give it real work in the agent os

Pick mimo-flash from the dropdown and hand it a job.

I asked it to read a facts file and write a full markdown brief, table and all. It did it in under nine seconds.

What you're watching: the real Agent OS Hermes tab. The profile picker shows mimo-flash, the task goes in, Hermes thinks, and the reply confirms the file it wrote: 23 lines.

Read the file ~/labs/mimo/facts.txt, then write ~/labs/mimo/brief.md: a markdown brief with a one-sentence summary, a table of the three models, and a "Pick Pro when / Pick Flash when" section. Reply DONE plus the line count.

Checkpoint: open the file it wrote. Mine had the title, the table and both bullet lists, with nothing invented beyond the facts I gave it.

§12 ────── where it all plugs in Skip the setup

Get the Agent OS with MiMo-V2.6 already wired in.

You can follow the three steps above yourself. Or get the whole operating system done, with Hermes, Claude, OpenClaw and Free Claude Code in one dashboard and every new model added the week it ships.

The full Agent OS zip — the Hermes profile pattern from this guide, pre-built for Pro and Flash
The Pro-or-Flash routing rule — which brain gets which job, set up click by click
Every CLI you already pay for — Claude, Codex, Gemini, Kimi, GLM, Grok in one place with shared memory
Free local models for the everyday 90%, so the meter barely moves
4 live coaching calls a week — get unblocked by people who hit your exact error yesterday
Daily step-by-step tutorials and a 30-day roadmap so you're never guessing
3,900+ business owners across 38 countries, someone online around the clock
Get the Agent OS → Inside the AI Profit Boardroom · skool.com/ai-profit-lab
Set up in an afternoon · used in 38 countries · new tools added the week they ship
Thinking it? "Doesn't running an Agent OS burn a fortune in tokens?"

No. The everyday 90% runs on a free local model on your own machine, and free APIs slot in as profiles for more.

For frontier work it drives the CLIs you already pay for, so you're not paying twice, and this guide just added two brains that cost cents. Inside the Boardroom there are full token-efficiency tutorials so you never think about the meter again.

§13 ────── the honest part

Three rooms where it clearly loses.

On a few tests the gap to the closed models is real, and you should know them before you route serious work.

ProgramBench (build whole programs from a spec) MiMo 26.5 Opus 5 37.0 Terminal Bench 4.0 (the newer, harder terminal test) MiMo 34.9 Opus 5 49.0 ExploitBench (offensive security) MiMo 47.9 Sol 78.5 Same source as the wins above. Big greenfield builds and the hardest terminal work still go to the closed models.
catch 1 · reasoning eats tokens

Both models think before they answer. My Pro game used 4,986 reasoning tokens on top of 14,000 of code, and Flash used 12,952. Give them a big output budget, or the answer gets cut off mid-file.

catch 2 · launch-day numbers are the vendor's

The index score is independent. The benchmark table is Xiaomi's. Wait a week for the outside testers before you bet a client project on a single number.

catch 3 · Flash builds are rougher

Flash's game ran first time but the camera framing was off. One round of feedback and it fixed itself, but that is the trade: a third of the price, a step down in first-shot polish. Use it where "works" matters more than "beautiful".

§14 ────── pro or flash

The rule: Flash first. Escalate to Pro when it stalls.

Start every job on Flash. If it comes back wrong twice, or the job touches money, clients or security, send it to Pro.

a jobany task from the OS high stakes?money · clients · securityor failed twice already? no → Flash$0.28 / M out · fast yes → Pro$0.87 / M out · senior stalled twice? escalate ↓ Two profiles, one rule. Most days the meter reads pennies.

The same rule I run for DeepSeek Flash and Pro. It works here because both MiMo brains share the same tools and the same 1M-token memory.

§15 ────── why it jumped

Five releases in seventeen months, and they livestreamed the training.

Xiaomi's MiMo team, led by Luo Fuli, spent six months scaling reinforcement learning after V2.5, and put the training dashboard on a public stream four days before launch.

Apr 2025MiMo-7Bfirst open model Dec 2025V2-Flash309B, MIT Mar 2026V2-Profirst 1T, API only Apr 2026V2.5 · index 26weights opened Sep 2026V2.6 · index 46Pro + Flash + UltraSpeed

"spent nearly six months studying how far reinforcement learning could scale after the release of MiMo-V2.5."

— Luo Fuli, head of Xiaomi MiMo, on the 18 September 2026 training livestream (via TechNode)

The weights, the technical report, the RL environments and the training code all shipped together. That is why the open-model crowd is treating this one differently.

§16 ────── three beliefs to drop

The "open models are a year behind" line just expired.

Wrong: "Open models are always a year behind the closed ones."

Right: One point behind GPT-5.6 Sol on an independent index, and you can download it today.

Wrong: "Cheap means dumb. I'll get what I pay for."

Right: Flash wrote a working 3D game and a correct brief with a table for under a cent each. Cheap now means "wakes fewer experts", not "knows less".

Wrong: "Adding a model means rebuilding my whole agent setup."

Right: Two commands and one edited line. The Agent OS picked both profiles up without a restart.

Don't take my word for it

Members post their wins every day — agency owners, ecom founders, course creators, solo operators across 38 countries. Real businesses, real numbers, in their own words.

Read the 158-page wins doc →
§17 ────── where this leaves us

You now have two brains most people haven't heard of yet.

Flash for the everyday work, Pro for the hard calls, both under a dollar and both open.

The people who wire new models in the week they land are the ones who'll be way ahead when all of this settles. Every profile you add compounds.

Your move

The models stopped being the bottleneck. Knowing what to hand them is the bottleneck.

MiMo-V2.6 gives you a frontier-class brain for pennies. The Boardroom gives you the year I spent building everything around it: the operating system, the routing rules, the memory, and the people who fix your setup live on the calls.

Readers bookmark this page and keep paying one bill for everything. Operators join, install the Agent OS this week, and have Flash and Pro running client work by Friday.

The full Agent OS — Hermes, Claude, OpenClaw and Free Claude Code in one dashboard with shared memory
This exact MiMo setup — both profiles, the routing rule, the checkpoints
4 live calls a week, daily tutorials, a 30-day roadmap
A member map to find people near you already running open-model agents
Someone online 24/7 when a config line won't save at midnight
Get the Agent OS → Inside the AI Profit Boardroom · skool.com/ai-profit-lab
258 documented member wins · 38 countries · everything from this guide, pre-wired

Create the Flash profile first. Decide about Pro after it's answered you. I'll see you in the next one.

Two brains, two prices, one dashboard. The window to learn them while everyone else waits for "the reviews" doesn't stay open long.