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aiqbench

Ai21-Labs · model passport

Jamba 1 5 Large

jamba-1-5-large
  • Open weights
  • Jamba Open licence
  • Released 2024-08-22(curated)
6/27axes covered
Overall · LMArena
1,289#273 of 395
Best percentile
31.1Overall
Cohort standing
34.5median 37.7

What the data says

Benchmarked on 6 of 27 tracked axes. Every figure below is the model's own published result on that board.

Uneven: 13.3 percentile points between its best and worst axis — 31.1 pct on Overall versus 17.8 pct on LiveCodeBench (Artificial Analysis).

  • Overall31.1 pct1,289Verify →
  • Instruction following29.6 pct1,267Verify →
  • Hard prompts29.4 pct1,284Verify →
  • Coding28.7 pct1,312Verify →
  • MMLU-Pro (Artificial Analysis)23.4 pct57.2%Verify →
  • LiveCodeBench (Artificial Analysis)17.8 pct14.3%Verify →
  • 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
  • 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.

  • The jamba-1.5-large model from ai21-labs has a shrunk composite score of 34.5 and a raw composite score of 26.7, with scores covering 6 of 27 axes.

    standingVerify →

  • Over the past 180 days, jamba-1.5-large from ai21-labs has a standing of 34.5, compared with a cohort median standing of 37.7 across a cohort of 126 models.

    cohortVerify →

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 →