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PrismML: Ternary Bonsai 2 9B

by PrismML

PrismML: Ternary Bonsai 2 9B is a large language model from PrismML. It costs $0.080 per million input tokens and $0.130 per million output tokens. Its context window is 262K tokens.

ReasoningTool callingStructured outputPrompt cachingOpen weightsimage input
Input / 1M tokens
$0.080
Output / 1M tokens
$0.130
Cached input / 1M
$0.040

On repeated prefixes

Context window
262K

tokens

Who serves it cheapest

1 hosts serve Ternary Bonsai 2 9B. Same weights, same API - the price difference is pure margin and routing.

Providers serving PrismML: Ternary Bonsai 2 9B, cheapest first
ProviderInput / 1MOutput / 1MContextThroughputUptime 24h
DarkbloomCheapestint4$0.080$0.130262K-99.4%

About 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...

Specifications

PrismML: Ternary Bonsai 2 9B specifications
Model IDprism-ml/ternary-bonsai-2-9b
ProviderPrismML
Context window262K tokens
Max output66K tokens
Input modalitiestext, image
Output modalitiestext
Knowledge cutoff-
Open weightsYes - prism-ml/Ternary-Bonsai-2-9B-gguf
ReleasedOctober 16, 2026

Cheaper alternatives

Models that cost less than Ternary Bonsai 2 9B while keeping at least half its context window and every input modality it supports.

Frequently asked

How much does PrismML: Ternary Bonsai 2 9B cost?

$0.080 per million input tokens and $0.130 per million output tokens. Cached input reads cost $0.040 per million tokens.

What is the context window of PrismML: Ternary Bonsai 2 9B?

262K tokens, with up to 66K tokens of output per request.