PrismML
Ternary Bonsai 2 9B
Ternary Bonsai 2 9B is PrismML’s compact, open-weight language model for conversational AI, reasoning, and tool use. Built on Qwen3.5, it uses ternary weights packed into 2 bits for efficient...
Cost / 1M tokens
Very low usage$0.08
input
$0.04
cached input
$0.13
output
Context Window
262K
Up to 66K max output
Modalities
text, image → text
Qwen tokenizer
Quickstart & API
prism-ml/ternary-bonsai-2-9bBest for & Strengths
Key Strengths
Recommended Workloads in ChatOSS
- Coding agents
- Complex reasoning & debugging
- Screenshot-to-code workflows
Active Provider Endpoints (1)
Upstream inference providers serving Ternary Bonsai 2 9B, with per-provider pricing, context limits, quantization, and 24-hour uptime.
| Provider | Input / 1M | Output / 1M | Cache Read / 1M | Context | Max Output | Quantization | Uptime (24h) |
|---|---|---|---|---|---|---|---|
Darkbloomcache darkbloom/int4 | $0.08 | $0.13 | $0.04 | 262K | 66K | int4 | 100.0% |
Supported API Parameters
Parameters accepted by this model when called through ChatOSS or OpenRouter.
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