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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.
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