DeepSeek: DeepSeek V3.2 Rank
DeepSeek V3.2 has an overall score of 69 out of 100, tied for rank 106 of 291. The published scores are price 77, context 47, and recency 84. The overall score is their average. parameters and freshness are not published and are 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 106 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 84 | AI Release Date | |
| Context | 47 | 164K tokens, output 147K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 77 | $0.29 / 1M blended, $0.26 / 1M input, $0.38 / 1M output | AI Token Price |
105 listed models have a higher overall score. Among DeepSeek models, it ranks 4 of 11.
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
Higher overall scores
🤖 Generate website with AI 👆
Join the beta waitlist and get 50% off your first 3 months.
Frequently asked questions
What is the DeepSeek V3.2 rank?
DeepSeek V3.2 has an overall score of 69 out of 100, tied for rank 106 of 291. The published scores are price 77, context 47, and recency 84. The overall score is their average. parameters and freshness are not published and are left out of the average.
Where does DeepSeek V3.2 rank?
DeepSeek V3.2 is tied for rank 106 of 291. 105 listed models have a higher overall score. Among DeepSeek models, it ranks 4 of 11.
What scores make up DeepSeek V3.2?
DeepSeek V3.2 scores price 77 (AI Token Price), context 47 (AI Context Window), and recency 84 (AI Release Date). The overall score of 69 is the average of those 3.