LOADING DATASHEET
LOADING DATASHEET
by Xiaomi
RANKED #84 OF 228 ASSISTANTS · OVERALL #141 OF 6,618 · VIBE SCORE 6.1 · 103 VOICES
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...
29 mentions
8 mentions
26 weeks · 165 voices
AGING WELL
The crowd is warmer now than it was at the start.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download MiMo V2.5 once and it's yours. No subscription, no rate limits, works offline.
310B MoE (15B active), a Q4 quantization is about 185 GB while Q2 is around 105 GB
Apple Mac Studio M2 Ultra (128 GB Unified Memory)
128 GB UNIFIED MEMORY
~$2800 USEDQ2_K quantized text model, ~8 tok/s, 16k context (too large for standard consumer single GPUs)
Apple Mac Studio M2 Ultra (192 GB Unified Memory)
192 GB UNIFIED MEMORY
~$4200 USEDQ4_K_M quant, ~12 tok/s, 32k context comfortably with memory headroom
8x NVIDIA RTX 3090 24GB Rig (Custom Server)
192 GB VRAM
~$6500 USEDQ4/FP8 quant, ~45 tok/s tensor parallel, 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 V2.5 takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMApple Mac Studio M2 Ultra (128 GB Unified Memory) | SWEET SPOTApple Mac Studio M2 Ultra (192 GB Unified Memory) | FULL POWER8x NVIDIA RTX 3090 24GB Rig (Custom Server) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~63 S | ~42 S | ~11 S |
| Summarize a documenta long report boiled down to the points that matter | ~3.1 MIN★★★★★ | ~2.1 MIN★★★★★ | ~33 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~17 MIN★★★★★ | ~11 MIN★★★★★ | ~3 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~52 MIN★★★★★ | ~35 MIN★★★★★ | ~9.3 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~31 MIN★★★★★ | ~21 MIN★★★★★ | ~5.6 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.
People are mostly happy with MiMo V2.5. Biggest praise: price.
76 POSTS · 27 COMMENTS · REDDIT · BLUESKY · GITHUB · X · LEMMY · HACKER NEWS
3 thumbs up · 0 thumbs down
Other models the crowd has fully reviewed, starting with multimodal models like this one.
Local AI News You Missed - May 2026
Xiami MIMO v2.5 massive price reduction
Local AI News You Missed - April 2026
SWE-rebench leaderboard update: GLM-5.2, Qwen3.6-27B, Qwen3.6-35B-A3B, Gemma 4 31B and more + improved UI
Xiaomi MiMo-V2.5 is now officially open-sourced
Mimo & deepseek are really amazing at optimizing ai. Read the the official blog page i linked, it will give amazing insight on how they pulled off this kind of low pricing with 2x - 3x profit margins.
DeepSeek V4 vs Xiami MIMO v2.5
Upstage 'Solar open2' release. performance on par with DeepSeek V4 Flash.
Mimo V2.5/Pro 57% to 99% price drop, matching DeepSeek v4 pricing
Comment in r/LocalLLaMA
Why is no one talking about Mimo V2.5 (non-pro)
MiMo v2.5 does not cut it...