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.