模型与实验室 4.0 · 优秀 2026-07-31 · 文章

DeepSeek-V4-Flash-0731: 304B params, best value-per-intelligence model

DeepSeek V4 系列新成员,304B 参数(HF 上 167GB),Artificial Analysis 把它排在 MiniMax M3(428B)前面定价 $0.14/百万输入$0.27/百万输出,在同智能指数下成本仅为同类模型的十分之一默认 reasoning 级别画出有问题的鹞鹕自行车,reasoning_effort 调到 high 后结果好很多

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DeepSeek-V4-Flash-0731: 304B params, best value-per-intelligence model

Source: https://simonwillison.net/2026/Jul/31/deepseek-v4-flash-0731/
Author: Simon Willison
Date: 2026-07-31

Summary (Chinese)

DeepSeek V4 系列新成员,304B 参数(HF 上 167GB),Artificial Analysis 把它排在 MiniMax M3(428B)前面。定价 $0.14/百万输入、$0.27/百万输出,在同智能指数下成本仅为同类模型的十分之一。默认 reasoning 级别画出有问题的鹞鹕自行车,reasoning_effort 调到 high 后结果好很多。

Summary (English)

DeepSeek V4 family new member, 304B params (167GB on HuggingFace). Artificial Analysis ranks it ahead of MiniMax M3 (428B). Pricing $0.14/M input, $0.27/M output makes it potentially the best value-per-intelligence model. Default reasoning level produced a flawed pelican bicycle; high reasoning effort gave much better results.

One-liner

同智能指数下成本为同类模型十分之一,帕累托前沿左上角

*Imported from Obsidian digest notes on 2026-08-01. Content grounded in fetched source metadata via opencli.*