DeepSeek: DeepSeek V4 Flash 0731 Rank

DeepSeek V4 Flash 0731 has an overall score of 79 out of 100, tied for rank 23 of 291. The published scores are price 89, context 71, parameters 61, and recency 96. 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

Overall score
79
Rank
23

tied for rank 23 of 291

Component scores

ScoreResultPublished valueSource
Freshness——AI Knowledge Cutoff
Recency96AI Release Date
Context711.05M tokens, output 944KAI Context Window
Parameters61284B total, 13B activeAI Parameter Count
Price89$0.119 / 1M blended, $0.059 / 1M input, $0.3 / 1M outputAI Token Price

22 listed models have a higher overall score. Among DeepSeek models, it ranks 2 of 11.

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....

All DeepSeek modelsBest modelsHow the score is calculated

🤖 Generate website with AI 👆

Join the beta waitlist and get 50% off your first 3 months.

Join waitlist

Frequently asked questions

What is the DeepSeek V4 Flash 0731 rank?

DeepSeek V4 Flash 0731 has an overall score of 79 out of 100, tied for rank 23 of 291. The published scores are price 89, context 71, parameters 61, and recency 96. The overall score is their average. freshness is not published and is left out of the average.

Where does DeepSeek V4 Flash 0731 rank?

DeepSeek V4 Flash 0731 is tied for rank 23 of 291. 22 listed models have a higher overall score. Among DeepSeek models, it ranks 2 of 11.

What scores make up DeepSeek V4 Flash 0731?

DeepSeek V4 Flash 0731 scores price 89 (AI Token Price), context 71 (AI Context Window), parameters 61 (AI Parameter Count), and recency 96 (AI Release Date). The overall score of 79 is the average of those 4.