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DeepSeek v4.1 Flash 1017 scores 45 in Artificial Analysis

DeepSeek V4.1 Flash 1017 (Max) is a leading open weight model with reasonable pricing compared to similar models. It offers text and image input, text output, and a 1M token context window. The model scored 45 on the Artificial Analysis Intelligence Index, significantly higher than the median score of 19. During evaluation, the model generated 210M tokens, more verbose than the median of 140M.

Pricing is competitive at $0.30 per 1M input tokens (median: $0.43) and $1.20 per 1M output tokens (median: $1.68), with an average cost of $0.26 per task. At 230 tokens per second, DeepSeek V4.1 Flash 1017 (Max) is notably fast, outperforming the 78-second average. It competes against models like AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, and SciCode, among others.

Written by urgent.news from Hacker News's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at artificialanalysis.ai →

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