long context benchmark
Graphwalks parents >128k
A graph reasoning benchmark that evaluates language models' ability to find parent nodes in graphs with context length over 128k tokens, testing long-context reasoning and graph structure understanding.
Updated Aug 11, 2026
Models7
Model coverage7
MetricScore
EvidenceB
Graphwalks parents >128k Ranking
Higher score ranks better on this benchmark.
| 01 | AN | 95.4% | 100.0% | 7 | C | |
| 02 | AN | 83.3% | 83.3% | 7 | C | |
| 03 | OP | 58.5% | 66.7% | 7 | C | |
| 04 | OP | 32.4% | 50.0% | 7 | C | |
| 05 | OP | 25.0% | 33.3% | 7 | C | |
| 06 | OP | 11.0% | 16.7% | 7 | C | |
| 07 | OP | 5.6% | 0.0% | 7 | C |
Graphwalks parents >128k Score Distribution
A closer view of the leading scores on this benchmark.
Graphwalks parents >128k Highlights
The leading models and scores on this benchmark.
What is Graphwalks parents >128k?
What Graphwalks parents >128k measures and how its scores work.
A graph reasoning benchmark that evaluates language models' ability to find parent nodes in graphs with context length over 128k tokens, testing long-context reasoning and graph structure understanding.
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
- Yes
- Evaluation key
- graphwalks-parents->128k|llm-stats-current
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 95.4%.
What does Graphwalks parents >128k measure?
A graph reasoning benchmark that evaluates language models' ability to find parent nodes in graphs with context length over 128k tokens, testing long-context reasoning and graph structure understanding.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
7 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.