Prism Ml: PrismML: Ternary Bonsai 2 27B
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... Ternary weights reduce memory footprint and improve local throughput Reasoning, coding, mathematics, and tool calling support 262K-token context with text and image input Smaller lab and ecosystem than the Qwen base model Ternary compression may reduce peak accuracy on demanding tasks OpenRouter availability and benchmarks are still limited Local deployment under tight memory limits Coding and mathematical reasoning Long-context multimodal assistants
Specifications
| Lab | Prism Ml |
|---|---|
| Context window | 262,144 |
| Input price | $0.08/1M |
| Output price | $0.50/1M |
| Release | 2026-09-01 00:00:00 |
Strengths
- Ternary weights reduce memory footprint and improve local throughput
- Reasoning, coding, mathematics, and tool calling support
- 262K-token context with text and image input
Weaknesses
- Smaller lab and ecosystem than the Qwen base model
- Ternary compression may reduce peak accuracy on demanding tasks
- OpenRouter availability and benchmarks are still limited
Best for
- Local deployment under tight memory limits
- Coding and mathematical reasoning
- Long-context multimodal assistants
In Depth: PrismML: Ternary Bonsai 2 27B
Summary
PrismML: Ternary Bonsai 2 27B is an AI model from Prism Ml.
Released 2026-09-01 00:00:00. It supports Text, image input and produces Text output, with a context window of 262.1K tokens. Input pricing is $0.08 per 1M tokens and output is $0.50 per 1M tokens on OpenRouter.