long context benchmark
Graphwalks parents >128k Leaderboard
Graphwalks parents >128k is a graph reasoning benchmark for evaluating language models on finding parent nodes in graphs with context lengths over 128k tokens.
Updated Sep 5, 2026
Models7
Model coverage7
MetricScore
EvidenceB
Graphwalks parents >128k Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAN | Score95.40% | Percentile100.00% | Participants7 | EvidenceC | Evaluated |
| Rank02 | ModelAN | Score83.30% | Percentile83.33% | Participants7 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score58.50% | Percentile66.67% | Participants7 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score32.40% | Percentile50.00% | Participants7 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score25.00% | Percentile33.33% | Participants7 | EvidenceC | Evaluated |
| Rank06 | ModelOP | Score11.00% | Percentile16.67% | Participants7 | EvidenceC | Evaluated |
| Rank07 | ModelOP | Score5.60% | Percentile0.00% | Participants7 | EvidenceC | Evaluated |
Graphwalks parents >128k Highlights
The leading models and scores on this benchmark.
Graphwalks parents >128k Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for Graphwalks parents >128k
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is Graphwalks parents >128k?
What Graphwalks parents >128k measures and how its scores work.
A graph reasoning benchmark focused on finding parent nodes in graphs with context lengths over 128k tokens.
It measures language models' ability to find parent nodes in graphs, along with long-context reasoning and graph structure understanding, using the Score metric as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Graphwalks parents >128k
- 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 Graphwalks parents >128k.
Which model scores highest on Graphwalks parents >128k?
Claude Opus 4.6 is currently ranked first with 95.40%.
What are the top three models on Graphwalks parents >128k?
The current leaders are Claude Opus 4.6 (95.40%), Claude Opus 4.8 (83.30%), and GPT-5.5 (58.50%).
Which Graphwalks parents >128k model has the lowest official input price?
GPT-4.1 nano has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.
Which models are fastest among Graphwalks parents >128k results?
The fastest matched records are GPT-4.1 mini (467.39 tok/s via OpenAI), GPT-4.1 nano (138.14 tok/s via OpenAI), and GPT-5.5 (134.94 tok/s via OpenAI).
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.