Inception: Mercury 2 Rank
Mercury 2 has an overall score of 69 out of 100, tied for rank 106 of 291. The published scores are price 73, context 44, and recency 89. 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 | 89 | AI Release Date | |
| Context | 44 | 128K tokens, output 50K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 73 | $0.375 / 1M blended, $0.25 / 1M input, $0.75 / 1M output | AI Token Price |
105 listed models have a higher overall score. Among Inception models, it ranks 3 of 3.
Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...
Higher overall scores
Other Inception models
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Frequently asked questions
What is the Mercury 2 rank?
Mercury 2 has an overall score of 69 out of 100, tied for rank 106 of 291. The published scores are price 73, context 44, and recency 89. The overall score is their average. parameters and freshness are not published and are left out of the average.
Where does Mercury 2 rank?
Mercury 2 is tied for rank 106 of 291. 105 listed models have a higher overall score. Among Inception models, it ranks 3 of 3.
What scores make up Mercury 2?
Mercury 2 scores price 73 (AI Token Price), context 44 (AI Context Window), and recency 89 (AI Release Date). The overall score of 69 is the average of those 3.