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Xiaomi · open-weights

MiMo V2.6 Flash RL

MiMo V2.6 Flash RL is an open-weights language model from Xiaomi, released September 21, 2026. It has 311B parameters (mixture-of-experts, 11B active). The context window is 1M tokens.

Check it against your own PC →

Lab
Xiaomi
Released
September 21, 2026
Weights
Open mit
Parameters
311B MoE · 11B active
Context
1M
Price / M tokens
–
Epoch ECI
not yet rated

Can you run MiMo V2.6 Flash RL locally?

Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMToo large––––
8 GB VRAMToo large––––
12 GB VRAMToo large––––
16 GB VRAMToo large––––
24 GB VRAMToo large––––
32 GB VRAMToo large––––

Ready-made quantizations on Hugging Face: vultr/MiMo-V2.6-Flash-RL-GGUF · ggml-org/MiMo-V2.6-Flash-RL-GGUF · YanissAmz/MiMo-V2.6-Flash-RL-GGUF · ProCreations/MiMo-V2.6-Flash-RL-NVFP4 · pfeifferj/MiMo-V2.6-Flash-RL-GSQ-RCO-GGUF · Baekpica/MiMo-V2.6-Flash-RL-Mixed-Quant-GGUF

Benchmark results

Epoch AI has not published results for MiMo V2.6 Flash RL yet. New models are usually evaluated within days to weeks.

Links

Hugging Face: XiaomiMiMo/MiMo-V2.6-Flash-RL

More from Xiaomi

MiMo V2.6 Flash MOPD · MiMo V2.6 Pro MOPD · MiMo-V2.6-Pro · MiMo-V2.6-Flash · MiMo V2.6 Pro RL · MiMo-V2.5 · MiMo-V2.5-Pro · MiMo-V2-Pro

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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