Inception: Mercury 3 Rank
Mercury 3 has an overall score of 84 out of 100, tied for rank 7 of 291. The published scores are price 84, context 70, and recency 99. 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 7 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 99 | AI Release Date | |
| Context | 70 | 1M tokens, output 131K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 84 | $0.162 / 1M blended, $0.1 / 1M input, $0.35 / 1M output | AI Token Price |
6 listed models have a higher overall score. Among Inception models, it ranks 1 of 3.
Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...
Higher overall scores
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Frequently asked questions
What is the Mercury 3 rank?
Mercury 3 has an overall score of 84 out of 100, tied for rank 7 of 291. The published scores are price 84, context 70, and recency 99. The overall score is their average. parameters and freshness are not published and are left out of the average.
Where does Mercury 3 rank?
Mercury 3 is tied for rank 7 of 291. 6 listed models have a higher overall score. Among Inception models, it ranks 1 of 3.
What scores make up Mercury 3?
Mercury 3 scores price 84 (AI Token Price), context 70 (AI Context Window), and recency 99 (AI Release Date). The overall score of 84 is the average of those 3.