PrismML: Ternary Bonsai 2 27B

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...

Modalities

In / out price

$0.075 / $0.5 per 1M

Context

262K

Released

Sep 18, 2026

Why use Ternary Bonsai 2 27B

Understands images
Step-by-step reasoning mode
Tool and function calling (agent-ready)
Structured (JSON) outputs

Pricing

Input	$0.075 / 1M tokens
Output	$0.5 / 1M tokens
Cached input (read)	$0.037 / 1M tokens

List prices via OpenRouter, checked daily. Real cost depends on the provider and on reasoning tokens.

Cost calculator

Pick a task, set how often you run it, and compare what it costs on each model.

TaskInput tokens≈ 602 wordsOutput tokens≈ 1,504 wordsRuns per month

Input served from cache: 0%Repeated prompts (same instructions or document) are billed at the cheaper cache-read price where the model supports it.

Model	Per run	Per month	Per 1,000 runs
PrismML: Ternary Bonsai 2 27B	$0.0011	$1.06	$1.06

Estimates from list prices via OpenRouter; real bills vary by provider and reasoning tokens.

Will it fit? Context window simulator

Each square is about one page (500 words). Colored squares are your content; grey squares are free space in the model's context window.

Your content

Novel (90,000 words)

Total: about 120,000 tokens (≈ 90,226 words). Token counts are estimates.

Models

Zoom (square size): 6pxZoom out to see a whole million-token window at once.

PrismML: Ternary Bonsai 2 27B

262,144 tokens ≈ 395 pages

Fits: uses 46% of the window (room for 2× this much).

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