PrismML: Ternary Bonsai 2 27B Rank
Ternary Bonsai 2 27B has an overall score of 68 out of 100, tied for rank 121 of 291. The published scores are price 83, context 53, parameters 36, and recency 98. The overall score is their average. freshness is not published and is 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 121 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 98 | AI Release Date | |
| Context | 53 | 262K tokens, output 32.8K | AI Context Window |
| Parameters | 36 | 27B total | AI Parameter Count |
| Price | 83 | $0.181 / 1M blended, $0.075 / 1M input, $0.5 / 1M output | AI Token Price |
120 listed models have a higher overall score. Among PrismML models, it ranks 1 of 2.
Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks...
Higher overall scores
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Frequently asked questions
What is the Ternary Bonsai 2 27B rank?
Ternary Bonsai 2 27B has an overall score of 68 out of 100, tied for rank 121 of 291. The published scores are price 83, context 53, parameters 36, and recency 98. The overall score is their average. freshness is not published and is left out of the average.
Where does Ternary Bonsai 2 27B rank?
Ternary Bonsai 2 27B is tied for rank 121 of 291. 120 listed models have a higher overall score. Among PrismML models, it ranks 1 of 2.
What scores make up Ternary Bonsai 2 27B?
Ternary Bonsai 2 27B scores price 83 (AI Token Price), context 53 (AI Context Window), parameters 36 (AI Parameter Count), and recency 98 (AI Release Date). The overall score of 68 is the average of those 4.