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PrismML: Ternary Bonsai 2 9B

prism-ml/ternary-bonsai-2-9b

⚙ tool calling

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...

specs & pricing
Type
text
Provider
prism-ml
Model ID
prism-ml/ternary-bonsai-2-9b
Capabilities
vision, tools, reasoning
Context window
262K tokens
Input price
$0.088 / 1M tokens
Output price
$0.14 / 1M tokens

Cloud price is billed from prepaid credits when a request fails over to the cloud. Open-weight models run free on GPUs you own — the gateway routes to your nodes first.

What it costs to run

cloud · 1M in + 1M out

$0.23

$0.088 for a million input tokens plus $0.14 for a million output tokens, billed from credits only when a request fails over to the cloud.

your hardware

cloud only

PrismML: Ternary Bonsai 2 9B is a hosted model, so it is always served from the cloud. Route easy traffic to an open model on your own hardware and keep this one for the requests that need it.

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Call PrismML: Ternary Bonsai 2 9B through one OpenAI-compatible endpoint.

Mix it with open models on your own hardware — the gateway routes each request to the cheapest place that can serve it.

no credit card · 2 nodes free · openai-compatible

Frequently asked questions

What is the context window of PrismML: Ternary Bonsai 2 9B?
PrismML: Ternary Bonsai 2 9B accepts up to 262,144 tokens (262K) of context per request.
How much does PrismML: Ternary Bonsai 2 9B cost per million tokens?
Through Wide Area Intelligence, PrismML: Ternary Bonsai 2 9B costs $0.088 per 1M input tokens and $0.14 per 1M output tokens when served from the cloud, billed from prepaid credits. A workload of 1M input plus 1M output tokens costs $0.23.

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