DeepSeek: DeepSeek V3 Rank
DeepSeek V3 has an overall score of 60 out of 100, tied for rank 207 of 291. The published scores are price 71, context 47, and freshness 61. The overall score is their average. parameters and recency 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 207 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 61 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 47 | 164K tokens, output 16K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 71 | $0.45 / 1M blended, $0.257 / 1M input, $1.03 / 1M output | AI Token Price |
206 listed models have a higher overall score. Among DeepSeek models, it ranks 11 of 11.
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...
Higher overall scores
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Frequently asked questions
What is the DeepSeek V3 rank?
DeepSeek V3 has an overall score of 60 out of 100, tied for rank 207 of 291. The published scores are price 71, context 47, and freshness 61. The overall score is their average. parameters and recency are not published and are left out of the average.
Where does DeepSeek V3 rank?
DeepSeek V3 is tied for rank 207 of 291. 206 listed models have a higher overall score. Among DeepSeek models, it ranks 11 of 11.
What scores make up DeepSeek V3?
DeepSeek V3 scores price 71 (AI Token Price), context 47 (AI Context Window), and freshness 61 (AI Knowledge Cutoff). The overall score of 60 is the average of those 3.