| cff-version: 1.2.0 | |
| message: "If you use this benchmark, cite the article, dataset release, frozen protocol, and archival record." | |
| title: "DeepSeek 1M Context Benchmark: Retrieval Accuracy, Latency, and Cost" | |
| type: dataset | |
| authors: | |
| - name: "Chat Deep AI" | |
| website: "https://chat-deep.ai/" | |
| version: 1.0.0 | |
| date-released: 2026-08-07 | |
| doi: 10.5281/zenodo.21838863 | |
| repository-code: "https://github.com/chatdeepai/deepseek-1m-context-benchmark" | |
| url: "https://doi.org/10.5281/zenodo.21838863" | |
| license: CC-BY-4.0 | |
| keywords: | |
| - DeepSeek | |
| - long context | |
| - retrieval benchmark | |
| - latency | |
| - reproducibility | |
| abstract: >- | |
| A reproducible benchmark of DeepSeek V4 Flash and Pro across deterministic | |
| long-context retrieval and synthesis tasks, with sanitized attempt-level | |
| data, strict grading, and a frozen methodology. | |