Atlas

Models

← All models

MiMo-V2.5-Pro

Xiaomi · 2026-04-27 · 1T parameters

MiMo-V2.5-Pro is Xiaomi's most capable open-weight MiMo model at release, a sparse Mixture-of-Experts text model with approximately 1.02T total parameters and 42B active per token, 60 sliding-window and 10 global-attention layers, and a 1,048,576-token context window. It was pretrained on a reported 27T tokens using FP8 mixed precision and incorporates three Multi-Token Prediction modules, then post-trained with supervised fine-tuning, agentic reinforcement learning, and multi-teacher on-policy distillation for demanding agentic, software-engineering, and long-horizon tasks.

Benchmark scores

BenchmarkScore
AA-AnalystAgent (pass@1)47.0
AA-AnalystAgent (pass@5)68.8
AA-AnalystAgent (pass^5)20.0
AA-Briefcase Elo883
AA-Briefcase v1.1 Elo883
AA-LCR73.3
AA-LCR v1.179.7
AA-Omniscience Index3.3
ALE-Bench1254
APEX-Agents-AA (avg@3)2.4
Arena Code WebDev — Brand & Marketing1470
Arena Code WebDev — Consumer Product1466
Arena Code WebDev — Content Creation Tools1472
Arena Code WebDev — Data & Analytics1466
Arena Code WebDev — Frontend1475
Arena Code WebDev — Fullstack1546
Arena Code WebDev — Gaming1500
Arena Code WebDev — HTML1473
Arena Code WebDev — React1469
Arena Code WebDev — Reference-Based Design1478
Arena Code WebDev — Simulations1491
Arena Text — Business, Management & Financial Ops (No Style Control)1466
Arena Text — Chinese (No Style Control)1506
Arena Text — Creative Writing (No Style Control)1438
Arena Text — English (No Style Control)1477
Arena Text — Entertainment, Sports & Media (No Style Control)1437
Arena Text — Exclude Ties (No Style Control)1466
Arena Text — Exclude Ties (Style Controlled)1471
Arena Text — Expert (No Style Control)1500
Arena Text — French (No Style Control)1487
Loading Atlas data…