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#10 MiMo-V2.6-Flash

#1 on LLMCheck local index (Oct 18), MIT, great dual-Spark target.

Version
MiMo-V2.6-Flash-MOPD
Maker
Xiaomi
Release date
2026-09-27 (Hugging Face repo creation date unless noted)
Architecture
Sparse MoE (8 of 256 experts)
Total params
309B
Active params
15B
Context length
1M
License
MIT
Commercial notes
Fully commercial
Variants
  • V2.6-Flash-MOPD
  • V2.6-Flash-RL
  • V2.6-Pro
  • MiMo-V2.6-Distill-Qwen-9B
Memory
BF16/native: no published figure yet
FP8: no published figure yet
Q8: no published figure yet
Q4: no published figure yet
LLMCheck min RAM 170 GB; needs 192 GB+ Mac
Hardware
Single Spark (128GB): No
Dual Spark (256GB): Yes (inferred from 170 GB min) unverified
Quad Spark (~512GB): Yes
24GB GPU: No
128GB Mac / Strix: No
Tokens/sec
  • m3_ultra_256gb: ~59 tok/s community (LLMCheck)
Speeds come from the cited sources. Entries marked "hosted, not local" are cloud API speeds, and "ESTIMATE" entries are estimates. Neither is a local measurement.
Document Q&A strengths
  • 1M context
  • MOPD checkpoint fixes repeated tool calls
Embedding / reranker pairing
no published figure yet
Runtimes
Ollama: Not in library (404)
llama.cpp: no published figure yet
vLLM: Yes (model card)
LM Studio: no published figure yet
Hugging Face
https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-MOPD

DGX Spark configs it fits

Spark fit is estimated from published memory sizes, not tested on Spark hardware.

Sources

Last updated Oct 24, 2026. Fields tagged unverified lack a primary source. "No published figure yet" means we found no source, and we don't guess. Spark fit is estimated from published memory sizes, not tested on Spark hardware. Ollama listings may be cloud-only tags; check this for Kimi K3 and DeepSeek V4.1 before pulling.

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