AI BENCHMARK PROFILE

LOCA-Bench (256k)

General AIAgents

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.

Released: Unknown
Readiness: Paper only
Primary field: General AI

Primary resources

Paper ↗

Benchmark Radar records only publicly supported details and links back to primary sources for verification.