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Reasoning benchmark
Every model the catalog carries a published GraphWalks BFS 256K–1M value for, ranked by that value.
Breadth-first-search graph traversal on 200 problems with context lengths from 256K to 1M tokens.
4 models with a published GraphWalks BFS 256K–1M value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.
| Rank | Model | Provider | F1 |
|---|---|---|---|
| 1 | 84.2 | ||
| 2 | OpenAI | 71.8 | |
| 3 | Anthropic | 66.8 |
What the benchmark measures and how its value is published, from the source’s own record.
GraphWalks BFS 256K–1M is a reasoning benchmark published by Gemini 4 Argon evaluation methodology. Breadth-first-search graph traversal on 200 problems with context lengths from 256K to 1M tokens. Its evaluation set is described by the source as breadth-first-search graph traversal on 200 problems with context lengths from 256K to 1M tokens.. The source rates its difficulty as frontier agent evaluation.
Each model's result is published by Gemini 4 Argon evaluation methodology as f1. ModelScale prints that value to 1 decimal place, exactly as published, and never converts or rescales it. This page ranks the 4 models that carry a published value, highest value first; a model the source never scored is left out rather than ranked at zero. The source does not state whether a higher value is the better result, so neither does this page.
| 4 | Anthropic | 65.0 |
Evidence key: Observed
Rows are ordered by the value Gemini 4 Argon evaluation methodology published, highest first. The source does not state whether a higher value is the better result, so this page does not either: for a benchmark that measures a rate of failure, read the table from the bottom.