GraphWalks' breadth-first-search task, scored only on prompts from the dataset's longest file, spanning roughly 256K to 1M tokens of context.
unassessed
| Category | long-context |
|---|---|
| Subcategory | multi-hop graph traversal, breadth-first search, long context |
| Page status | active |
| Metric | F1 score (node-set overlap) |
| Direction | higher_is_better |
| Unit | F1 x100 |
| Dataset licence | MIT |
| Publisher | OpenAI |
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.
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.
| Model | Provider | Score | Card as of |
|---|---|---|---|
| Claude Mythos Preview | Anthropic | 80.0 | 2026-04 |
| Claude Opus 4.6 | Anthropic | 38.7 | 2026-04 |
| GPT-5.4 | OpenAI | 21.4 | 2026-04 |