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aiqbench

Xiaomi · model passport

Mimo V2 Omni

mimo-v2-omni
  • Cloud only
  • Proprietary licence
  • Released 2026-10-09(first seen on LMArena)
7/27axes covered
Overall · LMArena
1,431#101 of 396
Best percentile
78.0Instruction following
Cohort standing
61.9median 60.6

What the data says

Benchmarked on 7 of 27 tracked axes. Every figure below is the model's own published result on that board.

Uneven: 31.5 percentile points between its best and worst axis — 78 pct on Instruction following versus 46.5 pct on Factuality Arena.

  • Instruction following78 pct1,428Verify →
  • Coding77.7 pct1,489Verify →
  • Hard prompts77.3 pct1,459Verify →
  • Overall74.7 pct1,431Verify →
  • IFBench (Artificial Analysis)61.1 pct53.5%Verify →
  • Vision Arena54 pct1,216Verify →
  • Factuality Arena46.5 pct1,436Verify →
  • WebDev ArenaNot benchmarked
  • Search ArenaNot benchmarked
  • Document ArenaNot benchmarked
  • Agent ArenaNot benchmarked
  • GPQA DiamondNot benchmarked
  • AIME (math)Not benchmarked
  • FrontierMathNot benchmarked
  • SimpleQA VerifiedNot benchmarked
  • ARC-AGI-2Not benchmarked
  • Humanity's Last ExamNot benchmarked
  • SimpleBenchNot benchmarked
  • LiveBenchNot benchmarked
  • BFCL v4 (function calling)Not benchmarked
  • SWE-bench Verified (live board)Not benchmarked
  • Terminal-Bench 4.0Not benchmarked
  • MMLU-Pro (Artificial Analysis)Not benchmarked
  • LiveCodeBench (Artificial Analysis)Not benchmarked
  • HHEM Hallucination (Vectara)Not benchmarked
  • SWE-bench VerifiedNot benchmarked
  • Terminal-BenchNot benchmarked

Percentiles are the model's standing within each board's own population. Axes marked "not benchmarked" have no published result for this model — that is an absence of data, not a low score.

  • mimo-v2-omni stands at 61.9 (raw mean 67.1) — measured on 7 of 27 axes.

    standingtemplateVerify →

  • mimo-v2-omni stands at 61.9 versus a cohort median of 60.6 across 171 models released within 180 days — above the peer median.

    cohorttemplateVerify →

Every claim is a computed fact from the current board data, phrased by a low-temperature model call and rejected by a validation gate if any number is not in the source row. How the leaderboards work →