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MiMo-V2.5-Pro

Xiaomi

Xiaomi's open-weights mixture of experts, released April 2026 with about 1.02 trillion total and 42 billion active parameters across 70 layers and eight experts per token. It interleaves sliding-window and global attention at a six-to-one ratio, uses three-layer multi-token prediction, and reaches a one-million-token context. It targets agentic, software-engineering and long-horizon tasks.

An older MiMo repository carries different terms from the model card, and the card is authoritative here. Xiaomi's product page no longer carries the evaluation tables and points to the card, so the figures are read there. Verified 2026-08-13 via the model card, the product page and the MiMo repository.

Openness

3 medium confidence
3.0
weights
open(MIT per HF card)
data
closed
code
open
license
MIT(HF card

Open weights under a permissive license - MIT on the Hugging Face card, though the older GitHub repository shows Apache-2.0 - with no open training data, so open weights rather than open source.

Adoption

2 medium confidence
2.0

59,525 Hugging Face downloads in the trailing 30 days for XiaomiMiMo/MiMo-V2.5-Pro, which bands at level 2 (10K-100K) on the model adoption scale.

Capability

4 medium confidence
4.0

A frontier open-weights model built for efficiency. The score rests on the benchmarks Xiaomi publishes: its own product page defers to the Hugging Face model card, where MMLU 89.4, MMLU-Pro 68.5, GSM8K 99.6 and HumanEval+ 75.6 all appear. The LMArena rank of roughly #29 is reported by mirrors with no citable source behind it, so it colors the picture without carrying the score.

Verified 2026-08-12