prism-mlListed Oct 16, 2026

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...

Context window262.1K
Max output65.5K
Parameters9B
Provider endpoints2
Benchmark results0
Measured performance

Benchmark results

All leaderboards ↗
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No published results in this index yet

Scores appear here when an evaluation matches this exact model.

Access & cost

Prices across providers

2 quotes

OpenRouter

Catalog quote
Input
$0.08
Output
$0.13
Cached input
$0.04
USD / 1M tokens
262.1K context65.5K max outputPrice source ↗Checked Oct 28, 2026
Endpoint IDprism-ml/ternary-bonsai-2-9b

Darkbloom

via OpenRouter

darkbloom/int4 · quantization=int4

Input
$0.08
Output
$0.13
Cached input
$0.04
USD / 1M tokens
262.1K context65.5K max outputPrice source ↗Checked Oct 28, 2026
Endpoint IDprism-ml/ternary-bonsai-2-9b::darkbloom/int4

Model specifications

Developer
prism-ml
Modality
Language
Context
262,144 tokens
Maximum output
65,536 tokens
Weights
Open weights
Provider listed
Oct 16, 2026
First discovered
Oct 28, 2026

Exact identities

  • openrouterprism-ml/ternary-bonsai-2-9b

Sources

Updated Oct 28, 2026

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prism-mlListed Sep 18

PrismML: 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…

262.1K context27BImage inputTool callingNo reported score
No reported score
$0.075in$0.50out/ 1M tokens · USDDarkbloom · via OpenRouter · 2 endpointsdarkbloom/int4 · quantization=int4