Inception: Mercury 2.5 Rank
Mercury 2.5 has an overall score of 82 out of 100, tied for rank 13 of 291. The published scores are price 96, context 53, and recency 97. 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 13 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 97 | AI Release Date | |
| Context | 53 | 260K tokens, output 65.5K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 96 | $0.0675 / 1M blended, $0.04 / 1M input, $0.15 / 1M output | AI Token Price |
12 listed models have a higher overall score. Among Inception models, it ranks 2 of 3.
Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving...
Higher overall scores
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Frequently asked questions
What is the Mercury 2.5 rank?
Mercury 2.5 has an overall score of 82 out of 100, tied for rank 13 of 291. The published scores are price 96, context 53, and recency 97. The overall score is their average. parameters and freshness are not published and are left out of the average.
Where does Mercury 2.5 rank?
Mercury 2.5 is tied for rank 13 of 291. 12 listed models have a higher overall score. Among Inception models, it ranks 2 of 3.
What scores make up Mercury 2.5?
Mercury 2.5 scores price 96 (AI Token Price), context 53 (AI Context Window), and recency 97 (AI Release Date). The overall score of 82 is the average of those 3.