Ai21-Labs · model passport
Jamba 1 5 Mini
jamba-1-5-mini- Open weights
- Jamba Open licence
- Released 2024-08-22(curated)
- Overall · LMArena
- 1,240#305 of 396
- Best percentile
- 23.2Overall
- Cohort standing
- 27.6median 37.6
What the data says
Benchmarked on 6 of 27 tracked axes. Every figure below is the model's own published result on that board.
Weakest axes
- 5 pct — LiveCodeBench (Artificial Analysis) (6.2%)
- 7.5 pct — MMLU-Pro (Artificial Analysis) (37.1%)
Uneven: 18.2 percentile points between its best and worst axis — 23.2 pct on Overall versus 5 pct on LiveCodeBench (Artificial Analysis).
- Overall23.2 pct1,240Verify →
- Hard prompts22 pct1,237Verify →
- Instruction following20.7 pct1,205Verify →
- Coding20.2 pct1,264Verify →
- MMLU-Pro (Artificial Analysis)7.5 pct37.1%Verify →
- LiveCodeBench (Artificial Analysis)5 pct6.2%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.
jamba-1.5-mini stands at 27.6 (raw mean 16.4) — measured on 6 of 27 axes.
jamba-1.5-mini stands at 27.6 versus a cohort median of 37.6 across 126 models released within 180 days — below the peer median.
jamba-1.5-mini scores in the 5th percentile on LiveCodeBench (Artificial Analysis).
jamba-1.5-mini scores at percentile 7.5 on MMLU-Pro (Artificial Analysis).
jamba-1.5-mini ranks between #316 and #995 across 5 built-in weightings — best under "Coding-focused", worst under "All sources".
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 →