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DeepSeek V4 Flash 0731 Intelligence, Performance and Price Analysis

Hacker News 热议:DeepSeek V4 Flash 0731 Intelligence, Performance and Price Analysis(497 赞 / 275 评论,来源 artificialanalysis.ai)

一句话概要

Analysis of DeepSeek’s DeepSeek V4 Flash 0731 (Reasoning, Max Effort) and comparison to other AI models across key metrics including quality, price, performance (tokens per second & time to first token), context window & more.

原文开头节选

Compare API Provider Benchmarks Model summary Intelligence # 3 / 101 50 Artificial Analysis Intelligence Index 4 out of 4 units for Intelligence. Speed N/A Output tokens per second Unknown out of 4 units for Speed. Price # 22 / 101 Input $0.14 per 1M tokens Output $0.28 per 1M tokens 1 out of 4 units for Price. Cache Hit Price # 1 / 101 $0.003 (- 98 %) USD per 1M tokens 1 out of 4 units for Cache Hit Price. Verbosity # 36 / 101 210M Output tokens from Intelligence Index 4 out of 4 units for Verbosity. Comparison Summary DeepSeek V4 Flash 0731 (Reasoning, Max Effort) is amongst the leading models in intelligence and well priced when comparing to other open weight models of similar size. The model supports text input, outputs text, and has a 1M tokens context window.

DeepSeek V4 Flash 0731 (Reasoning, Max Effort) scores 50 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 25). When evaluating the Intelligence Index, it generated 210M tokens, which is very verbose in comparison to the median of 100M.

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原文来源: Hacker News

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