GraphWalks BFS (256K-1M context)

GraphWalks' breadth-first-search task, scored only on prompts from the dataset's longest file, spanning roughly 256K to 1M tokens of context.

Also known as: GraphWalks BFS, 256K subset of 1M

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Categorylong-context
Subcategorymulti-hop graph traversal, breadth-first search, long context
Page statusactive
MetricF1 score (node-set overlap)
Directionhigher_is_better
UnitF1 x100
Dataset licenceMIT
PublisherOpenAI

What it measures

This id covers GraphWalks' breadth-first-search (BFS) operation, scored specifically on prompts drawn from the openai/graphwalks dataset's longest file, `graphwalks_256k_to_1mil.parquet`, whose prompts range from about 256,000 up to roughly 1 million characters of context. Given a directed graph written as an edge list of hex-hash node names, a starting node and a target depth, the model must return exactly the set of nodes reachable at that depth -- not nodes at intermediate depths, and not the starting node itself. Because the graph is scattered across a prompt near the top of what even long-context models support, this variant specifically tests whether multi-hop traversal still works correctly at the harder end of a model's supported context length, not just at short range.

Task format

A prompt with three worked examples followed by a large directed graph and a "perform a BFS from node X with depth N" instruction, drawn only from the dataset's 256K-to-1M-token file. The model replies with "Final Answer: [node1, node2, ...]" on the prompt's last line.

Models reporting this benchmark

These figures come from the model cards, which carry one collection date per card and no per-score attribution. They are shown as reported, not as verified evidence.
ModelProviderScoreCard as of
Claude Mythos PreviewAnthropic80.02026-04
Claude Opus 4.6Anthropic38.72026-04
GPT-5.4OpenAI21.42026-04

Data

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