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Meta AI · model passport

Meta Llama 3 70b Instruct

meta-llama-3-70b-instruct
3/27axes covered
Best percentile
23.0LiveBench
Composite standing
34.8shrunk · 3/27 axes

What the data says

Benchmarked on 3 of 27 tracked axes. Every figure below is the model's own published result on that board.

Weakest axes

  • 14.5 pct — AIME (math) (4.3%)

Uneven: 8.5 percentile points between its best and worst axis — 23 pct on LiveBench versus 14.5 pct on AIME (math).

  • LiveBench23 pct37.6%Verify →
  • GPQA Diamond21.3 pct40.6%Verify →
  • AIME (math)14.5 pct4.3%Verify →
  • OverallNot benchmarked
  • WebDev ArenaNot benchmarked
  • Vision ArenaNot benchmarked
  • Factuality ArenaNot benchmarked
  • Search ArenaNot benchmarked
  • Document ArenaNot benchmarked
  • Agent ArenaNot benchmarked
  • FrontierMathNot benchmarked
  • SimpleQA VerifiedNot benchmarked
  • ARC-AGI-2Not benchmarked
  • Humanity's Last ExamNot benchmarked
  • SimpleBenchNot 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
  • CodingNot benchmarked
  • Instruction followingNot benchmarked
  • Hard promptsNot 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.

  • Meta-Llama-3-70B-Instruct stands at 34.8 (raw mean 19.6) — measured on 3 of 27 axes.

    standingtemplateVerify →

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 →