Models › MiMo-V2.5 family

XiaomiMiMo MIT out 6 months ago

311B parameters (8 of 256 experts per token), text in, text out, 1M tokens of context. 3 providers serve it from $0.14 per million input tokens.

Verified 2026-10-26 07:27 UTC Rank #370 in LLMs · score 80.5 method v1 Sources 4 Downloads 30d 136.9k · #277 of 619 tracked

Changed this week: 2 providers no longer listed: Featherless, Novita.2026-10-23

Can I run it?187GB at INT4Estimateneeds a multi-GPU nodemethod
What does it cost?$0.14/1M incheapest of 1DeepInfra2026-10-26
Can I use it?MITPermissivelicence file2026-10-26
Do people use it?136.9kdownloads, 30 days#277 of 619 we track · top 45%+0 likes, downloads −14% this week431 likesHugging Face2026-10-26

Worth reading

Picked by rule from 17 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Model IDs for MiMo-V2.5-Pro and MiMo-V2.5 stopped working on Oct 21, 2026, at 10:00 (UTC+8).

From Xiaomi MiMo-v2.5 Series API Permanent Price Reduction Up to 99% · platform.xiaomimimo.com · 2026-05-26
The lab's own post

MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second

Xiaomi released MiMo-V2.5-Pro-UltraSpeed, a 1-trillion-parameter model achieving 1000 tokens/s decode speed via collaboration with TileRT.

  • The service is API-only and does not support the Token Plan.
  • Each account may enter the queue up to 10 times per day.
mimo.xiaomi.com 2026-06-08 628 HN pts · 489 comments 1.8k words
Most discussed · 134 HN pts

Xiaomi MiMo-v2.5 Series API Permanent Price Reduction Up to 99%

Xiaomi MiMo permanently renovates its pricing system effective May 27, 2026, with API prices reduced by up to 99% and token usage increased to 5-8 times the original.

  • Model IDs for MiMo-V2.5-Pro and MiMo-V2.5 stopped working on Oct 21, 2026, at 10:00 (UTC+8).
  • The Trillion Token Creator Incentive Program distributed all 100T Tokens by May 26, 16:08 Beijing Time.
platform.xiaomimimo.com 2026-05-26 134 HN pts · 160 comments 928 words
Latest · 5 months ago

Inference Optimization for MiMo v2.5: Pushing Hybrid SWA Efficiency to the Limit

Xiaomi engineers optimized the MiMo-V2.5 series for inference by implementing a tiered caching system that supports Hybrid Sliding Window Attention.

  • Medium and short sequences retain relatively dense SWA KV Cache at fixed length positions based on user request patterns.
mimo.xiaomi.com 2026-05-30 116 HN pts · 49 comments 4.3k words

17 best of 17 tracked

The 4 picks above, plus these 13. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

  1. ArticleMiMo-v2.5-Promimo.xiaomi.com · 2026-04-22 · 24 HN pts · official
  2. ArticleXiaomi releases mimo-v2.5 modelmimo.xiaomi.com · 2026-04-25 · 3 HN pts · official
  3. ArticleMiMo-V2.5-Pro (Reasoning) vs MiMo-V2-Flash (Feb 2026)artificialanalysis.ai · undated
  4. ArticleMiMo-v2.5-TTS Seriesmimo.xiaomi.com · 2026-04-24 · 2 HN pts · official
  5. DiscussionXiaomi Mimo-v2.5 pricing is now permanently reducedtwitter.com · 2026-05-26 · 5 HN pts
  6. ArticleMiMo-V2.5mimo.mi.com · undated · official
  7. DiscussionXiaomi MiMo-v2.5 is open-sourcedtwitter.com · 2026-04-27
  8. DiscussionMimo v2.5 is better deal than DeepSeek v4 flashnews.ycombinator.com · 2026-06-08
  9. ArticleXiaomi MiMo V2.5 Review: Beats Claude Opus on Token Cost (2026) - AICC - AI.ccai.cc · 2026-05-06
  10. ArticleMiMo-V2.5 Is Now Available on DeepInfradeepinfra.com · undated
  11. ArticleXiaomi MiMo V2.5 · LLM Model Review | CrucibleMarkcruciblemark.com · undated
  12. ArticleMiMo V2.5 Pro Technical Review: Xiaomi's Open-Weight Model Ties Frontier AI at Half the Cost — AgentBreaking Blogagentbreaking.com · 2026-04-25
  13. ArticleXiaomi MiMo V2.5 Review (2026): 1M Omnimodal Agenttoolworthy.ai · 2026-04-23

Where to run it

Live hosted endpoints, cheapest first, USD per million tokens. Ties break on output price, then provider name.

#Cheapest live rowIn /1MOut /1MContextQuantSeen
1 DeepInfra $0.14 $0.28 256K — Oct 26

All 3 providers →

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

Served by 3 API providers; 29 quantized builds for local use.

  • As a service3DeepInfra, GMICloud, Venice
  • On own hardware29quantized builds
  • Built on10 fine-tunes · 1 adapters · 0 merges
  • In apps4Hugging Face Spaces

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Needs an 8×80 GB node even at INT4

About 187 GB at INT4, 373 GB at FP8, 746 GB at BF16: weights only, so leave room for the KV cache. Every expert must be resident, so total parameters count.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 187 GB of weights (estimate; KV cache and activations extra)INT4187 GBFP8: about 373 GB of weights (estimate; KV cache and activations extra)FP8373 GBBF16: about 746 GB of weights (estimate; KV cache and activations extra)BF16746 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 187 GB of weights (estimate; KV cache and activations extra)INT4187 GBFP8: about 373 GB of weights (estimate; KV cache and activations extra)FP8373 GBBF16: about 746 GB of weights (estimate; KV cache and activations extra)BF16746 GB

Estimate params × bytes per param × 1.2 · how we estimate

The story so far

Weights, every dated article, and repo commits on one rail.

Most coverage came in the first two weeks

Teal is the weights (2026-04-27), amber triangles are 8 dated articles (each links to it), grey ticks are repo commits.

What people built on it

30 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

30 derivatives on the Hub, most of them quantized

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

29 quantized (Hugging Face model tree)1 adapter (Hugging Face model tree)29 quantized1 adapter
29 quantized (Hugging Face model tree)1 adapter (Hugging Face model tree)29 quantized1 adapter

All variants →

Reference

Everything else, folded: the full tables, every source.

What the card says

2 cited sentences

Summary generated, cited

XiaomiMiMo/MiMo-V2.5 is a 311B parameter sparse Mixture of Experts model designed for text, image, video, and audio understanding.[1][2][3] The architecture utilizes 8 experts per token and supports a context window of up to 1M tokens.[4][5]

  1. parameters human
  2. is mixture of experts
  3. “supporting text, image, video, and audio understanding”
  4. experts per token
  5. “The context window supports up to 1M tokens.”

Generated 2026-10-07 15:03 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

5 use cases

What it is good at 5 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Facts

22 fields

Listed in LLMs · MoE

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesMiMoV2ForCausalLM
Model typemimo_v2
Dtypebfloat16
Params by dtypeBF16: 4,052,024,960 · F32: 49,295,104 · F8_E4M3: 306,655,002,624
Size bandXXL
MoEyes
Experts256
Experts per token8
Context length1,048,576 (config.json max_position_embeddings)
Languagesen, zh
LicenseMIT (mit)
Hub snapshot2026-10-26

Servability

vLLM · SGLang

Servability

vLLM: supported · MiMoV2ForCausalLM · 4b1c04e76fe9ac3ca8b7e541dd423e7d5f38dc60SGLang: supported · MiMoV2ForCausalLM · 60d941293e3af27a12c6eb64e2c3e2e1a17f100f

vLLM registry (4b1c04e76fe9ac3ca8b7e541dd423e7d5f38dc60) · SGLang registry (60d941293e3af27a12c6eb64e2c3e2e1a17f100f) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for MiMo-V2.5: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)746 GB · Cluster (≥640 GB)
FP8 (1 byte/param)373 GB · Multi-GPU node (<640 GB)
INT4 (0.5 bytes/param)187 GB · Multi-GPU node (<640 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra. MoE: all experts must be resident, so total parameters count.

All variants

30 variants

Lineage

Original release (shipped quantized by the lab) Family: XiaomiMiMo/MiMo-V2.5 30 derivatives on the Hub

quantized: 29adapter: 1

Top variants (30 shown, ranked by downloads)

Relation
Quant
Size
30 rows
Variant Relation Quant Params Band License Author Likes Downloads
lukealonso/MiMo-V2.5-NVFP4 quantized NVFP4 179B XXL mit lukealonso 29 85.9k
unsloth/MiMo-V2.5-GGUF quantized GGUF — — mit unsloth 51 33.5k
QuantPasture/MiMo-V2.5-GGUF quantized GGUF — — — QuantPasture 44 22.9k
bartowski/MiMo-V2.5-GGUF quantized GGUF — — mit bartowski 14 18.8k
spectator2026/MiMo-V2.5-AWQ-int4 quantized AWQ 52.9B XL mit spectator2026 5 11.5k
shadowlilac/MiMo-V2.5-NVFP4 quantized NVFP4 178B XXL — shadowlilac 1 9.2k
huihui-ai/Huihui-MiMo-V2.5-abliterated-GGUF quantized GGUF — — mit huihui-ai 31 6.3k
jedisct1/MiMo-V2.5-coder-Q2 quantized GGUF — — mit jedisct1 77 3.2k
tnhnyzc/MiMO-V2.5-MTP-GGUF quantized GGUF — — mit tnhnyzc 8 5.9k
gghfez/MiMo-V2.5-control-vectors adapter GGUF — — cc-by-nc-4.0 gghfez 3 2.2k
jedisct1/MiMo-V2.5-coder-Q2-v2 quantized GGUF — — mit jedisct1 12 1.3k
gghfez/MiMo-V2.5-ikllama-GGUF quantized GGUF — — — gghfez 4 1.7k
nwzjk/MiMo-V2.5-AWQ-int4 quantized AWQ 52.9B XL mit nwzjk 1 1.5k
bearzi/MiMo-V2.5-MLX quantized MLX — — mit bearzi 0 1.5k
dawncr0w/MiMo-V2.5-oQ4-MLX quantized MLX 311B XXL mit dawncr0w 1 1.4k
DevQuasar/XiaomiMiMo.MiMo-V2.5-GGUF quantized GGUF — — — DevQuasar 0 1.4k
unsloth/MiMo-V2.5 quantized — 311B XXL mit unsloth 1 1.2k
Sciguy429/MiMo-V2.5-IK-GGUF quantized GGUF — — — Sciguy429 2 947
jedisct1/MiMo-V2.5-coder-Q2-v2-MTP quantized GGUF — — mit jedisct1 6 663
christopher-kapic/MiMo-V2.5-ROCmFP4-GGUF quantized GGUF — — — christopher-kapic 3 618
shadowlilac/MiMo-V2.5-AWQ-int4 quantized AWQ 52.9B XL mit shadowlilac 0 662
hell0ks/MiMo-V2.5-GGUF-ko quantized GGUF — — mit hell0ks 3 442
mradermacher/MiMo-V2.5-i1-GGUF quantized GGUF — — mit mradermacher 2 455
fivetech/MiMo-V2.5-colibri-peng-int4 quantized int4 — — apache-2.0 fivetech 2 435
mradermacher/MiMo-V2.5-GGUF quantized GGUF — — mit mradermacher 0 527
Niustron/Huihui-MiMo-V2.5-abliterated-GGUF quantized GGUF — — mit Niustron 1 367
Blightbow/MiMo-V2.5-Text-Only-oQ4-MLX quantized MLX 309B XXL mit Blightbow 0 330
PNC-user/MiMo_V2.5_coder_Q2-pnc quantized GGUF — — mit PNC-user 0 200
Akicou/MiMo-V2.5-NE128-72-OP quantized — 159B XXL mit Akicou 1 98
fivetech/MiMo-V2.5-colibri-peng-int4-zstd quantized int4 — — apache-2.0 fivetech 1 92

Repository changelog

18 commits
changed in the last 7 daysProviders dropped: 2026-10-23all changes

Repository changelog 18 commits

DateCommitSHA
2026-07-09 Update README.md 6365158
2026-07-09 Update README.md 39b8981
2026-05-08 Update tokenizer_config.json 2fd4f89
2026-05-08 Update README.md ff93ba9
2026-05-08 Upload assets/wechat.jpg (#15) 555948a
2026-05-08 remove qr code at root path 0c687b7
2026-05-08 update wechat qr code and discord invite link (#14) b8aed10
2026-05-07 Update generation_config.json 13b5e3f
2026-04-29 Update README.md b095f78
2026-04-29 Update README.md 7d93af8
2026-04-28 Update MiMo-V2.5 config 4da2748
2026-04-28 Add ModelScope url b944074
2026-04-28 Upload model.safetensors.index.json e4bd52a
2026-04-27 Upload 6 files c3f3abb
2026-04-27 Upload 5 files 6acfb7c
2026-04-27 Upload 15 files 4f78a4d
2026-04-27 Add files using upload-large-folder tool c8dea8d
2026-04-27 initial commit e6a82e2

All providers

3 providers · 3 endpoints

Where to run 3 providers · 3 endpoints

Hosted endpoints observed for MiMo-V2.5, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting. Cheapest observed input price: $0.12/M.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
GMICloud
openrouter
xiaomi/mimo-v2.5 1.0M fp8 $0.12 $0.24 — — yes status -5 2026-10-26
DeepInfra
hf
XiaomiMiMo/MiMo-V2.5 256K — $0.14 $0.28 9.7 2705 ms yes live 2026-10-26
Venice
openrouter
xiaomi/mimo-v2.5 977K fp8 $0.40 $2.00 — — yes status -2 2026-10-26

Articles and coverage

17 pieces

Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.

Official6

mimo.xiaomi.com2026-06-08officialHN front pageHN 628 pts · 489 comments1,765 words
Xiaomi released MiMo-V2.5-Pro-UltraSpeed, a 1-trillion-parameter model achieving 1000 tokens/s decode speed via collaboration with TileRT. The API launches at a limited-time promotional price of 3× the standard cost but delivers approximately 10× the generation speed, available only from June 9 to June 23, 2026. The system achieves this performance using FP4 quantization and DFlash speculative decoding on a single standard 8-GPU commodity node.written, reviewed, cited
  • The service is API-only and does not support the Token Plan.
  • Each account may enter the queue up to 10 times per day.
  • The draft model exclusively uses Sliding Window Attention to reduce compute from context-length-linear to constant.
mimo.xiaomi.com2026-05-30officialHN front pageHN 116 pts · 49 comments4,318 words
Xiaomi engineers optimized the MiMo-V2.5 series for inference by implementing a tiered caching system that supports Hybrid Sliding Window Attention. This architecture reduces KVCache storage to roughly 1/7 of Full Attention, improving overall KVCache capacity efficiency by approximately 7×. The system uses SGLang v0.5.5 as the serving backend and resolves storage conflicts by maintaining separate Full KV and SWA KV pools to strictly constrain SWA storage to O(W).written, reviewed, cited
  • Medium and short sequences retain relatively dense SWA KV Cache at fixed length positions based on user request patterns.
mimo.xiaomi.com2026-04-22officialHN 24 pts · 3 comments1,045 words
Xiaomi releases MiMo-V2.5-Pro, a 1.02T-parameter model with 42B active parameters and a 1M-token context window built on hybrid-attention architecture. The model autonomously implemented a SysY compiler in 4.3 hours across 672 tool calls, scoring 233/233, and generated an 8,192-line video editor in 11.5 hours using 1,868 tool calls. It achieves 64% Pass^3 on ClawEval using only ~70K tokens per trajectory, representing roughly 40–60% fewer tokens than comparable frontier models.written, reviewed, cited
  • The model built the compiler layer by layer, perfecting Koopa IR (110/110) before the RISC-V backend (103/103).
  • A trained analog designer typically spends several days on a project of this scope involving six simultaneous metrics.
  • Pre-training runs on 27T tokens using FP8 mixed precision at a native 32K sequence length.
mimo.xiaomi.com2026-04-25officialHN 3 pts · 0 comments520 words
mimo.xiaomi.com2026-04-24officialHN 2 pts · 0 comments1,722 words
mimo.mi.comofficial528 words

Analysis3

platform.xiaomimimo.com2026-05-26HN front pageHN 134 pts · 160 comments928 words
Xiaomi MiMo permanently renovates its pricing system effective May 27, 2026, with API prices reduced by up to 99% and token usage increased to 5-8 times the original. The V2.5 series is retired, replaced by the MiMo-V2.6-Pro, MiMo-V2.6-Flash, and MiMo-V2.6-Pro-Ultraspeed variants which utilize SWA based on SGLang HiCache to reduce data transfer volume to nearly 1/7 of the previous level.written, reviewed, cited
  • Model IDs for MiMo-V2.5-Pro and MiMo-V2.5 stopped working on Oct 21, 2026, at 10:00 (UTC+8).
  • The Trillion Token Creator Incentive Program distributed all 100T Tokens by May 26, 16:08 Beijing Time.
  • Users with expired Token Plans will receive surprise gifts announced within the next week.
firethering.com2026-04-28HN 21 pts · 7 comments1,797 words
Xiaomi released MiMo-V2.5-Pro, an open-source coding model that finished a university compiler project in 4.3 hours and built a video editor using 1,868 tool calls. The model utilizes a hybrid attention design to maintain functionality at 1M tokens and activates 42B parameters from a 1.02T total parameter count. Distributed under an MIT license, it offers token efficiency advantages over closed models for agentic workflows.written, reviewed, cited
  • MiMo-V2.5-Pro recovers from a regression at turn 512 without external intervention during long-horizon tasks.
  • The model scores 0.37 and 0.62 on GraphWalks subtasks at the full 1M token length.
artificialanalysis.aiauthority729 words

Community1

twitter.com2026-05-26HN 5 pts · 0 comments
All coverage tracked for this model (17) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
MiMo-V2.5-Pro (Reasoning) vs MiMo-V2-Flash (Feb 2026)artificialanalysis.ai—2026-10-07exa
MiMo-V2.5mimo.mi.com official—2026-10-07exa
MiMo-V2.5 Is Now Available on DeepInfradeepinfra.com—2026-10-07exa
Xiaomi MiMo V2.5 · LLM Model Review | CrucibleMarkcruciblemark.com—2026-10-07exa
MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per secondmimo.xiaomi.com official2026-06-082026-10-07hn
Mimo v2.5 is better deal than DeepSeek v4 flashnews.ycombinator.com2026-06-082026-10-07hn
Inference Optimization for MiMo v2.5: Pushing Hybrid SWA Efficiency to the Limitmimo.xiaomi.com official2026-05-302026-10-07hn, exa
Xiaomi MiMo-v2.5 Series API Permanent Price Reduction Up to 99%platform.xiaomimimo.com2026-05-262026-10-07hn
Xiaomi Mimo-v2.5 pricing is now permanently reducedtwitter.com2026-05-262026-10-07hn
Xiaomi MiMo V2.5 Review: Beats Claude Opus on Token Cost (2026) - AICC - AI.ccai.cc2026-05-062026-10-07exa
Xiaomi releases MiMo-v2.5 Family weights with strong coding and agent benchmarksfirethering.com2026-04-282026-10-07hn
Xiaomi MiMo-v2.5 is open-sourcedtwitter.com2026-04-272026-10-07hn
Xiaomi releases mimo-v2.5 modelmimo.xiaomi.com official2026-04-252026-10-07hn, exa
MiMo V2.5 Pro Technical Review: Xiaomi's Open-Weight Model Ties Frontier AI at Half the Cost — AgentBreaking Blogagentbreaking.com2026-04-252026-10-07exa
MiMo-v2.5-TTS Seriesmimo.xiaomi.com official2026-04-242026-10-07hn
Xiaomi MiMo V2.5 Review (2026): 1M Omnimodal Agenttoolworthy.ai2026-04-232026-10-07exa
MiMo-v2.5-Promimo.xiaomi.com official2026-04-222026-10-07hn

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Sources

4 sources

Sources

Hub snapshot: 2026-10-26 · HF API: 2026-10-26 07:17 UTC · Providers: 2026-10-26 07:26 UTC · Articles: 2026-10-26 07:27 UTC · Summary: 2026-10-07 15:03 UTC · Last verified 2026-10-26 07:27 UTC

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