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Ibm · model passport

Ibm Granite H Small

ibm-granite-h-small
  • Open weights
  • Apache 2.0 licence
  • Released 2026-10-15(first seen on LMArena)
4/27axes covered
Overall · LMArena
1,287#277 of 396
Best percentile
31.8Hard prompts
Cohort standing
39.1median 60.8

What the data says

Benchmarked on 4 of 27 tracked axes. Every figure below is the model's own published result on that board.

Uneven: 1.5 percentile points between its best and worst axis — 31.8 pct on Hard prompts versus 30.3 pct on Instruction following.

  • Hard prompts31.8 pct1,303Verify →
  • Coding31.5 pct1,330Verify →
  • Overall30.3 pct1,287Verify →
  • Instruction following30.3 pct1,270Verify →
  • WebDev ArenaNot benchmarked
  • Vision ArenaNot benchmarked
  • Factuality 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
  • IFBench (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.

  • ibm-granite-h-small stands at 39.1 (raw mean 31) — measured on 4 of 27 axes.

    standingtemplateVerify →

  • ibm-granite-h-small stands at 39.1 versus a cohort median of 60.8 across 168 models released within 180 days — below 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 →