PrismML: Ternary Bonsai 2 9B
by Prism Mltext+image->text1 endpoint
Overview
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 inference. It accepts text and image input. Its 262K-token context window supports long conversations and document-heavy workflows, with up to 64K output tokens per response.
Capabilities
Text generation
Image understanding
Tool use / Function calling
Structured output
Extended reasoning
Prompt caching
Long context
Top-P sampling
Stop sequences
Deterministic seed
Log probabilities
Modalities
Input
TextImage
Output
Text
Technical Specifications
Context Window
262.1K tokens
Max Output
65.5K tokens
Tokenizer
Qwen
Uptime (24h)
9912.3%
Supported Parameters
frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Pricing
Per 1M tokens
Input$0.08
Output$0.13
Cache read$0.04
Added
October 16, 2026
Last synced 11/7/2026