LOCA-Bench (256k)
Progress Over Time
Interactive timeline showing model performance evolution on LOCA-Bench (256k)
LOCA-Bench (256k) Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  MiniMax | — | 1.0M | $0.30 / $1.20 |
What is LOCA-Bench (256k)?
LOCA-Bench is a long-context agentic benchmark. The 256k variant evaluates agents using the official ReAct mode with an environment description length of 256k tokens, measuring how well models reason and act over very long contexts.
LOCA-Bench (256k) is a text benchmark evaluating models on reasoning and agents tasks. LLM Stats tracks 1 models on this benchmark, scored on a 0–1 scale. The current average is 0.5, with the leader at 0.5.
Compare leaders on the best AI for reasoning and best AI for agents leaderboards.
Current leaders
MiniMax M3 from MiniMax currently leads the LOCA-Bench (256k) leaderboard with a score of 0.493 across 1 evaluated AI models.
FAQ
Common questions about the LOCA-Bench (256k) benchmark and leaderboard.