DeepSeek V4.1 Flash 1017 (Max) Intelligence, Performance & Price Analysis
Model summary
Intelligence
#2 / 121 45 Artificial Analysis Intelligence Index 4 out of 4 units for Intelligence.
Speed
#6 / 79 230.4 Output tokens per second 4 out of 4 units for Speed.
Cost
#21 / 43 In $0.30 Out $1.20 Cache Discount 98% $0.26 Cost per Intelligence Index task 2 out of 4 units for Cost.
Verbosity
#39 / 47 210M Output tokens from Intelligence Index 4 out of 4 units for Verbosity.
Comparison Summary
DeepSeek V4.1 Flash 1017 (Max) is amongst the leading models in intelligence and reasonably priced when comparing to other open weight models of similar size. It's also notably fast, however very verbose. The model supports text and image input, outputs text, and has a 1M tokens context window.
DeepSeek V4.1 Flash 1017 (Max) scores 45 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 19). When evaluating the Intelligence Index, it generated 210M tokens, which is very verbose in comparison to the median of 140M.
Pricing for DeepSeek V4.1 Flash 1017 (Max) is $0.30 per 1M input tokens (moderately priced, median: $0.43) and $1.20 per 1M output tokens (moderately priced, median: $1.68). On average, it costs $0.26 per task to evaluate DeepSeek V4.1 Flash 1017 (Max) on the Intelligence Index.
At 230 tokens per second, DeepSeek V4.1 Flash 1017 (Max) is notably fast (78).
Technical specifications
| Reasoning | Yes. This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text and image |
| Output modality | Supports: text |
| Context window | 1M (~1500 A4 pages of size 12 Arial font) |
| Total parameters | 552B |
| Active parameters | 16B (Number of parameters active per token during inference) |
| License | MIT |
| Model weights | Hugging Face |
