long context benchmark
AA-LCR Leaderboard
AA-LCR is an Agent Arena Long Context Reasoning benchmark in the long_context category, reported as a Score ratio.
Updated Oct 23, 2026
Models27
Model coverage27
MetricScore
EvidenceB
AA-LCR Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelUP | Score83.30% | Percentile100.00% | Participants27 | EvidenceB | Evaluated |
| Rank02 | ModelME | Score80.00% | Percentile96.15% | Participants27 | EvidenceC | Evaluated |
| Rank03 | ModelRA | Score78.20% | Percentile92.31% | Participants27 | EvidenceC | Evaluated |
| Rank04 | ModelIN | Score77.67% | Percentile88.46% | Participants27 | EvidenceC | Evaluated |
| Rank05 | ModelTE | Score73.40% | Percentile84.62% | Participants27 | EvidenceC | Evaluated |
| Rank06 | ModelMA | Score71.20% | Percentile80.77% | Participants27 | EvidenceC | Evaluated |
| Rank07 | ModelUP | Score71.00% | Percentile76.92% | Participants27 | EvidenceC | Evaluated |
| Rank08 | ModelNV | Score71.00% | Percentile73.08% | Participants27 | EvidenceC | Evaluated |
| Rank09 | ModelMA | Score70.00% | Percentile69.23% | Participants27 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score68.70% | Percentile65.38% | Participants27 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score68.70% | Percentile61.54% | Participants27 | EvidenceC | Evaluated |
| Rank12 | ModelNV | Score68.62% | Percentile57.69% | Participants27 | EvidenceC | Evaluated |
| Rank13 | ModelAC | Score68.30% | Percentile53.85% | Participants27 | EvidenceC | Evaluated |
| Rank14 | ModelAC | Score66.90% | Percentile50.00% | Participants27 | EvidenceC | Evaluated |
| Rank15 | ModelAC | Score66.10% | Percentile46.15% | Participants27 | EvidenceC | Evaluated |
| Rank16 | ModelNV | Score65.40% | Percentile42.31% | Participants27 | EvidenceC | Evaluated |
| Rank17 | ModelIN | Score65.10% | Percentile38.46% | Participants27 | EvidenceC | Evaluated |
| Rank18 | ModelNV | Score64.06% | Percentile34.62% | Participants27 | EvidenceC | Evaluated |
| Rank19 | ModelAC | Score63.00% | Percentile30.77% | Participants27 | EvidenceC | Evaluated |
| Rank20 | ModelMI | Score62.00% | Percentile26.92% | Participants27 | EvidenceC | Evaluated |
| Rank21 | ModelAC | Score58.50% | Percentile23.08% | Participants27 | EvidenceC | Evaluated |
| Rank22 | ModelNV | Score58.31% | Percentile19.23% | Participants27 | EvidenceC | Evaluated |
| Rank23 | ModelAC | Score57.00% | Percentile15.38% | Participants27 | EvidenceC | Evaluated |
| Rank24 | ModelNV | Score52.00% | Percentile11.54% | Participants27 | EvidenceC | Evaluated |
| Rank25 | ModelLA | Score50.60% | Percentile7.69% | Participants27 | EvidenceC | Evaluated |
| Rank26 | ModelAC | Score25.60% | Percentile3.85% | Participants27 | EvidenceC | Evaluated |
| Rank27 | ModelAC | Score4.70% | Percentile0.00% | Participants27 | EvidenceC | Evaluated |
AA-LCR Highlights
The leading models and scores on this benchmark.
AA-LCR Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for AA-LCR
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is AA-LCR?
What AA-LCR measures and how its scores work.
AA-LCR is an Agent Arena Long Context Reasoning benchmark.
It reports a Score as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- AA-LCR
- Modality
- text
- Primary category
- long context
- 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 AA-LCR.
Which model scores highest on AA-LCR?
Solar Mini 4 is currently ranked first with 83.30%.
What are the top three models on AA-LCR?
The current leaders are Solar Mini 4 (83.30%), Muse Glimmer-30B (80.00%), and Beam 1.0 (78.20%).
Which AA-LCR model has the lowest official input price?
Solar Mini 4 has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.
Which models are fastest among AA-LCR results?
The fastest matched records are Mercury 3 (1,068.00 tok/s via Inception) and MiniMax M2.1 (100.00 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.