long context benchmark
GraphWalks is a synthetic multi-hop long-context reasoning benchmark that requires traversing an edge-list graph to find neighboring or parent nodes.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score90.00% | Percentile100.00% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelXI | Score87.00% | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelXI | Score62.00% | Percentile0.00% | Participants3 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What GraphWalks measures and how its scores work.
GraphWalks gives a model an edge-list representation of a graph and a start node, requiring it to find neighboring nodes via breadth-first search or parent nodes.
Performance is reported as Score, the F1 of the model-predicted answer set versus the ground truth, with unit ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about GraphWalks.
MAI-Thinking-1 is currently ranked first with 90.00%.
The current leaders are MAI-Thinking-1 (90.00%), MiMo-V2.5 (87.00%), and MiMo-V2.5-Pro (62.00%).
MiMo-V2.5 has the lowest matched official input price at $0.14 input / $0.28 output per 1M tokens.
The fastest matched records are MiMo-V2.5 (5.39 tok/s via DeepInfra) and MiMo-V2.5-Pro (5.27 tok/s via DeepInfra).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
Performance is reported as Score, the F1 of the model-predicted answer set versus the ground truth, with unit ratio.
Yes. Higher values rank better for this benchmark.
3 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis graphwalks AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
MAI-Thinking-1 currently leads GraphWalks with 90.00%. 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.