DeepSeek: DeepSeek V4.1 Flash 1017 Rank
DeepSeek V4.1 Flash 1017 has an overall score of 66 out of 100, tied for rank 140 of 291. The published scores are price 69, context 71, parameters 23, and recency 99. The overall score is their average. freshness is not published and is left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 140 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 99 | AI Release Date | |
| Context | 71 | 1.05M tokens, output 393K | AI Context Window |
| Parameters | 23 | 8B total | AI Parameter Count |
| Price | 69 | $0.525 / 1M blended, $0.3 / 1M input, $1.2 / 1M output | AI Token Price |
139 listed models have a higher overall score. Among DeepSeek models, it ranks 6 of 11.
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
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Frequently asked questions
What is the DeepSeek V4.1 Flash 1017 rank?
DeepSeek V4.1 Flash 1017 has an overall score of 66 out of 100, tied for rank 140 of 291. The published scores are price 69, context 71, parameters 23, and recency 99. The overall score is their average. freshness is not published and is left out of the average.
Where does DeepSeek V4.1 Flash 1017 rank?
DeepSeek V4.1 Flash 1017 is tied for rank 140 of 291. 139 listed models have a higher overall score. Among DeepSeek models, it ranks 6 of 11.
What scores make up DeepSeek V4.1 Flash 1017?
DeepSeek V4.1 Flash 1017 scores price 69 (AI Token Price), context 71 (AI Context Window), parameters 23 (AI Parameter Count), and recency 99 (AI Release Date). The overall score of 66 is the average of those 4.