MiMo-V2.6-Pro
Intelligence benchmarks
Artificial Analysis indexes - compared with the best open and proprietary models
Intelligence
46.3
AA Index
Intelligence Index - MiMo-V2.6-Pro 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.
Standard benchmarks
Performance across standard evaluations
| Benchmark | Score |
|---|---|
| HLE | 49.4 |
| SciCode | 60.9 |
Source: Artificial Analysis component evals - updated 2026-09-27.
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
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-Pro is a 159.4B-parameter mit model from Xiaomi. It scores 46.3 on the Artificial Analysis Intelligence Index. At Q4_K_M it needs roughly 92 GB of VRAM, placing it in the 48 GB+ / multi-GPU hardware tier.
Benchmarks
Artificial Analysis Intelligence Index - MiMo-V2.6-Pro vs. leading closed models:
| Model | Intelligence | Coding | GPQA |
|---|---|---|---|
| MiMo-V2.6-Pro | 46.3 | - | - |
| Claude Opus 5.5 (max with fallback) | 57.6 | - | - |
| Claude Fable 5.1 (max with fallback) | 53.4 | - | 93.7 |
| GPT-6 Astra (max) | 52.7 | - | 96.1 |
| Muse Spark 1.3 (max) | 48.1 | - | 93.5 |
| GPT-6 Sol (max) | 47.5 | - | - |
Source: Artificial Analysis (2026-09-24).
Popularity
MiMo-V2.6-Pro has 4,103 downloads in the last month on HuggingFace and 5 likes.
Frequently asked
Quick answers to common questions
How much VRAM does MiMo-V2.6-Pro need?
MiMo-V2.6-Pro with 159.4B parameters needs approximately 92 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.
Is MiMo-V2.6-Pro better than other XiaomiMiMo models?
MiMo-V2.6-Pro has 159.4B parameters with 1,048,576 context - a strong choice for general use.
What license is MiMo-V2.6-Pro under?
MiMo-V2.6-Pro is released under the mit license, making it suitable for most commercial and personal projects.
What hardware runs MiMo-V2.6-Pro well?
With 159.4B parameters, MiMo-V2.6-Pro 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-Pro?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~113 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.
How long can MiMo-V2.6-Pro's context window handle?
MiMo-V2.6-Pro 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-Pro?
MiMo-V2.6-Pro competes with other 80B–239B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Nearby options
Similar models and compatible hardware by spec