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Llama 3 8b Instruct

llama-3-8b-instruct

Open weights
Llama 3 Community licence
Released 2024-04-18(curated)

Overall · LMArena: 1,224#317 of 396
Best percentile: 20.2Overall
Cohort standing: 32.2median 33.0

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: 2 percentile points between its best and worst axis — 20.2 pct on Overall versus 18.2 pct on Hard prompts.

Overall20.2 pct1,224Verify →
Coding18.7 pct1,253Verify →
Instruction following18.7 pct1,193Verify →
Hard prompts18.2 pct1,220Verify →
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.

llama-3-8b-instruct stands at 32.2 (raw mean 18.9) — measured on 4 of 27 axes.
standingtemplateVerify →
llama-3-8b-instruct stands at 32.2 versus a cohort median of 33 across 118 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 →