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Prism Ml
prism-ml/ternary-bonsai-2-27bCatalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
Prism Ml prism-ml/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...
Cached input reads $0.04 per 1M · weights on Hugging Face as prism-ml/Ternary-Bonsai-2-27B-gguf
Ternary Bonsai 2 27B earns a request when it needs step-by-step reasoning, tool calls, very long inputs; a short, general request would go to Nemotron 3.5 Super VL (free) instead - free per million input tokens against $0.07 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points (this model has no published index).
A higher intelligence index, best first, with the price it comes at.
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs Ternary Bonsai 2 27B
targets:
- id: ternary-bonsai-2-27b
kind: llm
name: Ternary Bonsai 2 27B
metadata:
model: prism-ml/ternary-bonsai-2-27b # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 262144
cost:
usd_per_1k_tokens: 0.000287Input list price per million tokens; Ternary Bonsai 2 27B is the cheapest of 2 listed.
Other models by the same vendor in the catalogue.
Photo: RDNE Stock project