OpenRouter: PrismML: Ternary Bonsai 2 27B (OpenRouter)

Newstable

PrismML: Ternary Bonsai 2 27B (OpenRouter) is available through Everstack's OpenAI-compatible gateway with routing, fallback, retries, and observability.

prism-ml-ternary-bonsai-2-27bprism-mlreleased Sep 18, 2026

Provider Quick start

Context

262.1K

tokens

Max output

32.8K

tokens

Input

$0.075

per 1M

Output

$0.50

per 1M

Activity

Daily period usage

Aggregated managed Everstack traffic. Buckets below 5 tenants or 100 requests are withheld.

Providers

ProviderContextInput /MOutput /M

OpenRouter

262.1K$0.075$0.50

Pricing

Item	Price	Unit
Input	$0.075	per 1M tokens
Output	$0.50	per 1M tokens
Cache read	$0.037	per 1M tokens

Performance

Reliability

Compare

Compare usage and performance

Place this model beside up to three other catalog models.

Capabilities

Modalities

Input

Output

Details

Model ID: prism-ml-ternary-bonsai-2-27b
Family: prism-ml
Status: stable
Knowledge: -
Released: Sep 18, 2026

Gateway Config

API: 2024-01-01
Auth: OPENROUTER_API_KEY
Discovery: dynamic
Provider type: meta

Quick Start

index.ts

import Everstack from "@everstack/node";const client = new Everstack({  apiKey: process.env.EVERSTACK_API_KEY!,  baseUrl: "https://{instance}.{region}.everstack.ai",});const completion = await client.chat.completions.create({  model: "@openrouter/prism-ml-ternary-bonsai-2-27b",  messages: [{ role: "user", content: "Explain vector cache routing." }],});console.log(completion.choices[0]?.message?.content);

Endpoint

Base URL

https://openrouter.ai/api/v1

Chat completions

https://openrouter.ai/api/v1/chat/completions

Model

prism-ml-ternary-bonsai-2-27b

Auth env

OPENROUTER_API_KEY

PrismML: Ternary Bonsai 2 27B (OpenRouter) FAQ

How much does the PrismML: Ternary Bonsai 2 27B (OpenRouter) API cost?

Through OpenRouter, PrismML: Ternary Bonsai 2 27B (OpenRouter) costs $0.075 per 1M input tokens and $0.50 per 1M output tokens.

What is the context window of PrismML: Ternary Bonsai 2 27B (OpenRouter)?

PrismML: Ternary Bonsai 2 27B (OpenRouter) accepts up to 262.1K tokens of context and returns up to 32.8K output tokens on OpenRouter.

What can PrismML: Ternary Bonsai 2 27B (OpenRouter) do?

PrismML: Ternary Bonsai 2 27B (OpenRouter) supports chat, function calling, image input and reasoning. It accepts text and image input.

How do I call PrismML: Ternary Bonsai 2 27B (OpenRouter) through Everstack?

Point any OpenAI-compatible SDK at your Everstack gateway and set the model to @openrouter/prism-ml-ternary-bonsai-2-27b. Everstack adds retries, provider fallback, caching, per-tenant budgets and OpenTelemetry traces for every request.