LOADING DATASHEET
LOADING DATASHEET
by XiaomiMiMo
RANKED #249 OF 319 ASSISTANTS · OVERALL #379 OF 495 RANKED · VIBE SCORE 5.7 · 47 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
MiMo-V2-Flash on Hugging Face (text generation). 94,298 downloads. Open weights for local or hosted use.
6 mentions
1 mentions
26 weeks · 29 voices in this window
TOO QUIET
Not enough weekly voices to call a trend yet.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download MiMo V2 Flash once and it's yours. No subscription, no rate limits, works offline.
309B parameters (MoE with 15B active), a Q4 quantized file is about 185 GB
Custom PC with 256 GB DDR5 system RAM and NVIDIA RTX 3060 12
256 GB RAM + 12 GB VRAM
~$1,400 BUILTToo big for single-GPU consumer VRAM; runs via Q3/Q4 CPU offload at ~3 tok/s, 8k context
Apple Mac Studio (M2 Ultra, 192GB Unified Memory)
192 GB UNIFIED MEMORY
~$5,200 USEDQ4_K_M running entirely in unified memory at ~18 tok/s, 32k context
Workstation with 4x NVIDIA RTX 6000 Ada (48GB each)
192 GB VRAM
~$28,000 WORKSTATIONFP8 / Q8 full precision with native multi-token prediction at ~60 tok/s, 128k context
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long MiMo V2 Flash takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMCustom PC with 256 GB DDR5 system RAM and NVIDIA RTX 3060 12 | SWEET SPOTApple Mac Studio (M2 Ultra, 192GB Unified Memory) | FULL POWERWorkstation with 4x NVIDIA RTX 6000 Ada (48GB each) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~2.8 MIN★★★★★ | ~28 S★★★★★ | ~8 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~8.3 MIN★★★★★ | ~83 S★★★★★ | ~25 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~44 MIN★★★★★ | ~7.4 MIN★★★★★ | ~2.2 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~2.3 HR★★★★★ | ~23 MIN★★★★★ | ~6.9 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~83 MIN★★★★★ | ~14 MIN★★★★★ | ~4.2 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
Not enough discussion about MiMo V2 Flash yet to call it. We found 47 posts but people did not say much either way.
41 POSTS · 6 COMMENTS · HACKER NEWS · BLOG · REDDIT · GITHUB · LEMMY
Other models the crowd has fully reviewed, starting with text models like this one.
A "phone" company is now competing with Anthropic on AI benchmarks. Xiaomi's MiMo-V2-Pro ranks #3 globally on agent tasks.
Xiaomi releases "MiMo-V2-Flash" — An Open-Source MoE (309B/15B Active) that hits 150 tokens/s and claims to match DeepSeek-V3.2 & Gemini 3.0 Pro.
To further emphasize how busy year this week as been in terms of LLM releases, Xiaomi released their MiMo-V2-Flash open weights language model, rivaling the likes of DeepSeek 3.2. Its strengths include state-of-an-art agentic tool use.
Xiaomi's MiMo models are making the AI pricing conversation uncomfortable
[R] Benchmarked 94 LLM endpoints for jan 2026. open source is now within 5 quality points of proprietary
Housekeeping: No voiceover on another quick “launch” post. More essays soon! After a few long years of finding time to document my lessons from training open models, my post-training book is done! It’s published by Manning, under the title Reinforcement…
As I’ve been recapping fundamentals of post-training to wrap up my RLHF / Post-training book I knew I needed to get Finbarr Timbers back on the podcast to talk about the state of play. Over the last few months we’ve had many discussions on what we’d need to…
As some of you know, I have the long-running habit of keeping a running list of research papers I want to read, revisit, or cite in future articles and projects. Last year, I shared two organized paper lists, one covering January to June and another one…
When are we gonna get more 1-Bit models(Medium & Large size)?
Mimo V2 Pro turns out to be very good
Which subscription/api has bang for the buck?
We're heading into the dark ages in terms of free proxies aren't we? (Openrouter)