MiMo-V2.6-Flash
Q4 GGUF download: ggml-org/MiMo-V2.6-Flash-RL-GGUF - 1.26 GB on disk, read 2026-09-27. VRAM figures above are estimates; this is the actual file size.
Intelligence benchmarks
Artificial Analysis indexes - compared with the best open and proprietary models
Intelligence
37.9
AA Index
Intelligence Index - MiMo-V2.6-Flash vs. the field
Best open-weight models (you can run locally) and leading proprietary models for context.
Benchmark data from Artificial Analysis · updated 2026-09-27.
Will it run on your hardware?
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Need an exact figure for your context length? Use the VRAM calculator.
Run it locally
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Deep dive
Notes, sources, and the full write-up
MiMo-V2.6-Flash is a 310.8B-parameter mit model from Xiaomi. It scores 37.9 on the Artificial Analysis Intelligence Index. At Q4_K_M it needs roughly 180 GB of VRAM, placing it in the 48 GB+ / multi-GPU hardware tier.
Benchmarks
Artificial Analysis Intelligence Index - MiMo-V2.6-Flash vs. leading closed models:
| Model | Intelligence | Coding | GPQA |
|---|---|---|---|
| MiMo-V2.6-Flash | 37.9 | - | - |
| Claude Opus 5.5 | 57.6 | - | - |
| Claude Fable 5.1 | 53.4 | 81.6 | 93.7 |
| GPT-6 Astra | 52.7 | 76.9 | 96.1 |
| Muse Spark 1.3 | 48.1 | 75.8 | 93.5 |
| GPT-6 Sol | 47.5 | - | - |
Source: Artificial Analysis (2026-09-27).
Popularity
MiMo-V2.6-Flash has 25,661 downloads in the last month on HuggingFace and 489 likes.
Frequently asked
Quick answers to common questions
How much VRAM does MiMo-V2.6-Flash need?
MiMo-V2.6-Flash with 310.8B parameters needs approximately 180 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is MiMo-V2.6-Flash better than other XiaomiMiMo models?
MiMo-V2.6-Flash has 310.8B parameters with 1,048,576 context - a strong choice for general use.
What license is MiMo-V2.6-Flash under?
MiMo-V2.6-Flash is released under the mit license, making it suitable for most commercial and personal projects.
What hardware runs MiMo-V2.6-Flash well?
With 310.8B parameters, MiMo-V2.6-Flash requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for MiMo-V2.6-Flash?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~221 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
How long can MiMo-V2.6-Flash's context window handle?
MiMo-V2.6-Flash supports a 1,048,576-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.
What models compete with MiMo-V2.6-Flash?
MiMo-V2.6-Flash competes with other 155B–466B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec