AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

GraphWalks

GraphWalks is a synthetic multi-hop long-context reasoning benchmark in which a model is given an edge-list representation of a graph and must traverse it to find neighboring nodes (via breadth-first search) or parent nodes for a given start node. Performance is reported as F1 of the model-predicted answer set versus the ground truth.

Evaluation context and evidence

Source
LLM Stats
Publisher
Not recorded
Benchmark release
Not recorded
Collected
2026-08-17
Modality
text

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 3

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
MAI-Thinking-10.9Not recordedNot recorded2026-06-02 · model_announcementLLM Stats
MiMo-V2.50.87Not recordedNot recorded2026-04-22 · model_announcementLLM Stats
MiMo-V2.5-Pro0.62Not recordedNot recorded2026-04-27 · model_announcementLLM Stats