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...
Model details →PrismML: Ternary Bonsai 2 27B vs Qwen: Qwen3.5-122B-A10B
PrismML: Ternary Bonsai 2 27B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...
Model details →Side-by-side comparison
| Capability | PrismML: Ternary Bonsai 2 27B | Qwen: Qwen3.5-122B-A10B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 262K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.07 | $0.26 | 🏆 PrismML: Ternary Bonsai 2 27B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.50 | $2.08 | 🏆 PrismML: Ternary Bonsai 2 27B |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is PrismML: Ternary Bonsai 2 27B better than Qwen: Qwen3.5-122B-A10B?
PrismML: Ternary Bonsai 2 27B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between PrismML: Ternary Bonsai 2 27B and Qwen: Qwen3.5-122B-A10B?
Input: $0.07 vs $0.26 per 1M tokens. Output: $0.50 vs $2.08 per 1M tokens.
What context windows do PrismML: Ternary Bonsai 2 27B and Qwen: Qwen3.5-122B-A10B support?
PrismML: Ternary Bonsai 2 27B supports up to 262K tokens. Qwen: Qwen3.5-122B-A10B supports up to 262K tokens.
Do both PrismML: Ternary Bonsai 2 27B and Qwen: Qwen3.5-122B-A10B support tool calling?
PrismML: Ternary Bonsai 2 27B: yes. Qwen: Qwen3.5-122B-A10B: yes.