LOCA-Bench A

AI benchmark · Long Context

Publisher
Minimax M3 Launch Post
Tier
A why
Snapshot

Full listing name: LOCA-Bench (256k)

What is LOCA-Bench?

LOng-Context Agents benchmark evaluated at a 256k environment description length for agent reliability under extreme context growth.

Tier A

A

Widely used: a lab reports it, or 50 or more models are scored on 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.

  • reported by MiniMax
  • in curated RL directories (1 pt)
How we got to tier A
  1. Adoption: reported by MiniMax. Tier A.
  2. On X: unclear, none buzz No move.
  3. In curated RL directories: 1 point, a floor of none.
  4. Not yet confirmed by a line from its own site or paper.

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

Not on the map yet: no line from its own site or paper places it in a domain.

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