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 Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
LOCA-Bench (256k) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score49.30% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
LOCA-Bench (256k) Highlights
The leading models and 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.
Ranking basisThis loca-bench (256k) AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MIMiniMax
- Score
- 49.30%
- Price
- $0.30 input / $1.2 output per 1M tokens
- Speed
- Up to 6.61 tok/s via MiniMax
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures LOCA-Bench (256k), not total model capability
Selection summary
Best AI Models for LOCA-Bench (256k)
MiniMax M3 currently leads LOCA-Bench (256k) with 49.30%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
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 is currently ranked first with 49.30%.
What are the top three models on LOCA-Bench (256k)?
The current leaders are MiniMax M3 (49.30%).
Which LOCA-Bench (256k) model has the lowest official input price?
MiniMax M3 has the lowest matched official input price at $0.30 input / $1.2 output per 1M tokens.
Which models are fastest among LOCA-Bench (256k) results?
The fastest matched records are MiniMax M3 (6.61 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.