reasoning benchmark
LOCA-Bench (256k) Leaderboard
LOCA-Bench (256k) is a long-context agentic benchmark that evaluates agents in official ReAct mode with an environment description length of 256k tokens.
Updated Oct 23, 2026
Models2
Model coverage2
MetricScore
EvidenceB
LOCA-Bench (256k) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score60.30% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelMI | Score49.30% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
LOCA-Bench (256k) Highlights
The leading models and scores on this benchmark.
LOCA-Bench (256k) Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for LOCA-Bench (256k)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is LOCA-Bench (256k)?
What LOCA-Bench (256k) measures and how its scores work.
LOCA-Bench (256k) is the 256k variant of the LOCA-Bench long-context agentic benchmark.
It measures how well models reason and act over very long contexts, using an environment description length of 256k tokens; results are reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- LOCA-Bench (256k)
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about LOCA-Bench (256k).
Which model scores highest on LOCA-Bench (256k)?
MiniMax M3.1 Flash is currently ranked first with 60.30%.
What are the top three models on LOCA-Bench (256k)?
The current leaders are MiniMax M3.1 Flash (60.30%) and MiniMax M3 (49.30%).
Which LOCA-Bench (256k) model has the lowest official input price?
MiniMax M3.1 Flash has the lowest matched official input price at $0.15 input / $0.60 output per 1M tokens.
Which models are fastest among LOCA-Bench (256k) results?
The fastest matched records are MiniMax M3 (45.04 tok/s via MiniMax).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.