Pareto 26.9 Rank
Pareto 26.9 has an overall score of 65 out of 100, tied for rank 149 of 291. The published scores are price 43, context 53, and recency 98. 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 149 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 98 | AI Release Date | |
| Context | 53 | 262K tokens, output 131K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 43 | $3.75 / 1M blended, $2.5 / 1M input, $7.5 / 1M output | AI Token Price |
148 listed models have a higher overall score. Among Pareto 26.9 models, it ranks 2 of 2.
Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.
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Frequently asked questions
What is the Pareto 26.9 rank?
Pareto 26.9 has an overall score of 65 out of 100, tied for rank 149 of 291. The published scores are price 43, context 53, and recency 98. The overall score is their average. parameters and freshness are not published and are left out of the average.
Where does Pareto 26.9 rank?
Pareto 26.9 is tied for rank 149 of 291. 148 listed models have a higher overall score. Among Pareto 26.9 models, it ranks 2 of 2.
What scores make up Pareto 26.9?
Pareto 26.9 scores price 43 (AI Token Price), context 53 (AI Context Window), and recency 98 (AI Release Date). The overall score of 65 is the average of those 3.