LOADING DATASHEET
LOADING DATASHEET
by Xiaomi
RANKED #124 OF 228 ASSISTANTS · OVERALL #201 OF 6,618 · VIBE SCORE 5.8 · 59 VOICES
MiMo V2.5 Pro is Xiaomi's long-context flagship general model for coding and agentic orchestration. This separately served variant is intended for users concerned about censorship on the regular Xiaomi MiMo V2.5 Pro, and it is included in t
15 mentions
5 mentions
26 weeks · 93 voices
HONEYMOON FADING
Early praise is cooling off in recent weeks.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download MiMo V2.5 Pro once and it's yours. No subscription, no rate limits, works offline.
1.02T total parameters (MoE with 42B active parameters), a Q4 quantized file requires over 550 GB of memory
Apple Mac Studio (M3 Ultra, 512 GB Unified Memory)
512 GB UNIFIED RAM
~$8,500 NEWToo large for any standard consumer hardware. Barely fits extreme sub-4-bit or hybrid quantizations with significant off
Custom 8x Nvidia RTX 3090 24GB Rig (or dual 4x workstation)
192 GB VRAM PLUS 512 GB SYSTEM RAM
~$7,500 USEDPartial GPU offloading with 4-bit quantization (Q4 / FP4) using specialized runtimes, ~8 tok/s at 32k context
8x Nvidia RTX 6000 Ada 48GB Server
384 GB VRAM PLUS 1 TB SYSTEM RAM
~$55,000 NEWFP8 / FP4 ultra-fast execution, full speculative decoding (DFlash) with up to 100k+ context, ~40 tok/s
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 V2.5 Pro takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMApple Mac Studio (M3 Ultra, 512 GB Unified Memory) | SWEET SPOTCustom 8x Nvidia RTX 3090 24GB Rig (or dual 4x workstation) | FULL POWER8x Nvidia RTX 6000 Ada 48GB Server |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~2.8 MIN | ~63 S | ~13 S |
| Summarize a documenta long report boiled down to the points that matter | ~8.3 MIN★★★★★ | ~3.1 MIN★★★★★ | ~38 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~44 MIN★★★★★ | ~17 MIN★★★★★ | ~3.3 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~2.3 HR★★★★★ | ~52 MIN★★★★★ | ~10 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~83 MIN★★★★★ | ~31 MIN★★★★★ | ~6.3 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 V2.5 Pro yet to call it. We found 59 posts but people did not say much either way.
49 POSTS · 10 COMMENTS · REDDIT · GITHUB · HACKER NEWS · X · LEMMY · BLOG
Other models the crowd has fully reviewed, starting with multimodal models like this one.
Local AI News You Missed - April 2026
Xiaomi MiMo-V2.5 is now officially open-sourced
Xiaomi has open-sourced mimo v2.5 pro and it’s interesting
Xiaomi released their SOTA model, MiMo-V2.5-Pro.
Is deepseek actually good
Mimo V2.5/Pro 57% to 99% price drop, matching DeepSeek v4 pricing
Update to the LLM Debate Benchmark: GPT-5.5, Grok 4.3, DeepSeek V4 Pro, GLM-5.1, Kimi K2.6, Qwen 3.6 Max Preview, Xiaomi MiMo V2.5 Pro, Tencent Hy3 Preview, and Mistral Medium 3.5 High Reasoning added
Xiaomi has released a MiMo V2.5 Pro model. It's apparently about as good as Deepseek V4 (but at different tasks) but is significantly cheaper.
New Billing Opened my eyes
Comment in r/LocalLLaMA
Xiaomi achieves 1000+t/s on 8x commodity GPU cluster with 1T weights model
Why is no one talking about Mimo V2.5 (non-pro)