DeepSeek V4 Pro 0813 scores 53 on the Artificial Analysis Intelligence Index, 8
Source
ArtificialAnlys
Author
ArtificialAnlys
Published
Why it matters
Teams building on DeepSeek's first-party API face a 3.6x price change within a day, and the intelligence gain over the cheaper Flash model is a single point. The cost-per-task math changes which model is the rational default.
Key quotes
“Under the new pricing, DeepSeek’s first-party API will charge $1.32 / 1M input tokens and $3.96 / 1M output tokens - an increase of +264% on the blended price.”
ArtificialAnlys
“DeepSeek V4 Pro 0813 is only 1 point ahead of DeepSeek V4 Flash 0731 on the Artificial Analysis Intelligence Index, and has ~3.8x the active parameters. The two models tie on Terminal-Bench 2.1 at 79%.”
ArtificialAnlys
“DeepSeek V4 Pro 0813 is more token efficient than DeepSeek V4 Pro, using 128M output tokens to run the Intelligence Index, ~30% fewer than the April version.”
ArtificialAnlys
“DeepSeek V4 Pro 0813 makes significant improvements in real-world agentic knowledge work. On GDPval-AA v2 its Elo improved to 1590, +284 points from DeepSeek V4 Pro (1306), which implies an ~84% expected win rate against the April release.”
ArtificialAnlys
“Compared to peer models, DeepSeek V4 Pro 0813 has a high attempt rate of ~99%, meaning it almost never declines to answer. By contrast, Kimi K3 attempts only 77% of questions and has a 53% hallucination rate.”
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