Leap B

Name: Leap
Creator: Pareto
Keywords: Multi-Domain,Tool Use

AI benchmark · Multi-Domain

Publisher: Pareto
Domains: Multi-Domain Tool Use
On X: @pareto_ai ↗
Tier: B why
Snapshot: October 11, 2026

Open benchmark ↗pareto.ai/blog/introducing-leapbench

Latest from Pareto on X

@pareto_ai ↗

We added Claude Opus 4.8 to AttuneBench. It takes the top overall score (54.55), ahead of Opus 4.6 (54.30) and GPT-5.5 (53.71). It's also the strongest model we've tested at predicting users' emotion labels and overall conversation ratings.
— pareto_ai (@pareto_ai) Jun 4, 2026
There's a hidden layer in AI: the systems that decide who gets to shape the model. Not all contributors are equal but most pipelines treat them like they are. Who's feeding the model in the first place takes quietly a big part in determining everything.
— pareto_ai (@pareto_ai) Mar 31, 2026
LLMs don't fail because they lack information. They fail because they learn from unverified judgment. That's a data problem, not a model problem.
— pareto_ai (@pareto_ai) Mar 30, 2026

What is Leap?

LEAPBench measures the in-context learning efficiency of LLMs on iterative scientific design optimization tasks, mostly in biology, scored by trajectory-integrated metrics.

Health and bio mostly
“which include 45 biology tasks (protein engineering, cell culture optimization, nanoparticle formulation, gene editing, fermentation)”
pareto.ai/blog/introducing-leapbench ↗
Science
“a benchmark intentionally designed to measure the in-context learning efficiency of LLMs across iterative scientific design tasks.”
pareto.ai/blog/introducing-leapbench ↗

Who built Leap

Pareto built it
“we built LEAPBench (Learning Efficiency in Adaptive Processes): a benchmark intentionally designed to measure the in-context learning efficiency of LLMs”
pareto.ai/blog/introducing-leapbench ↗

Tier B

Established: 15 or more models scored, or curated RL directories rate it.

How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.

built by Pareto
in curated RL directories (3 pts)

How we got to tier B

Adoption: built by Pareto. Tier C.
Not yet read on X.
In curated RL directories: 3 points, a floor of B. Raised to B.
Confirmed: a line from its own site or paper places it.

A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.

Where Leap sits

Its realm in the universe, live. Hover a star for its name; click to open it. Open it in the universe

The galaxy could not load. See every vendor on the board.

More Multi-Domain AI benchmarks

Multi-Domain RL environments

Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.