Prism-ml

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 Window
262K tokens
Parameters
9B
Input Price
$0.08/1M
Output Price
$0.13/1M
Price Tier
budget
Provider
Prism-ml

How to Use PrismML: Ternary Bonsai 2 9B

With CoreAI, you can start chatting with PrismML: Ternary Bonsai 2 9B instantly — no separate subscription needed. CoreAI lets you chat with PrismML: Ternary Bonsai 2 9B alongside 300+ other AI models from Prism-ml and other providers like OpenAI, Anthropic, Google, Meta, and more.

  1. Download the CoreAI app for iOS, Android, or use the Web App
  2. Select PrismML: Ternary Bonsai 2 9B from the model selector
  3. Start chatting, comparing, or creating with AI

PrismML: Ternary Bonsai 2 9B at a Glance

PrismML: Ternary Bonsai 2 9B holds the #229 spot for context size out of 438 chat models in the CoreAI catalog — 262K tokens, roughly 196,608 words or 393 pages of text in a single conversation. On price, it is the #54 cheapest of 145 budget-tier models by input cost. Released 2026-10-16, it is one of the 13 newest additions to the catalog. It supports step-by-step reasoning (thinking mode) and accepts image input.

PrismML: Ternary Bonsai 2 9B Compared to Its Closest Alternatives

SpecPrismML: Ternary Bonsai 2 9BPrismML: Ternary Bonsai 2 27BRecursive: Flint (free)Z.ai: GLM 5.2
ProviderPrism-mlPrism-mlRecursiveZ-ai
Input $/1M tokens$0.08$0.075Free$0.01
Output $/1M tokens$0.13$0.5Free$7
Context window262K262K262K1.0M
Reasoning modeYesYesYesYes
Image inputYesYesNoNo
Price tierbudgetbudgetbudgetstandard

Every model in this table is available on CoreAI — open the web app and run the same prompt through PrismML: Ternary Bonsai 2 9B and PrismML: Ternary Bonsai 2 27B side by side to judge with your own eyes.

What PrismML: Ternary Bonsai 2 9B Actually Costs in Practice

A typical question (about 1,000 tokens in, 500 out) runs $0.00015 on PrismML: Ternary Bonsai 2 9B's raw per-token rates; a heavy session with a 50K-token document costs about $0.005. On CoreAI you don't juggle these numbers — one subscription covers PrismML: Ternary Bonsai 2 9B and 300+ other models under a plan usage limit, with no API keys. See plans.

More Prism-ml Models

Prism-ml

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 unders
262K budget

Frequently Asked Questions about PrismML: Ternary Bonsai 2 9B

What is PrismML: Ternary Bonsai 2 9B's context window?

PrismML: Ternary Bonsai 2 9B handles 262K tokens of context — roughly 196,608 words, or about 393 pages of text in one conversation.

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

PrismML: Ternary Bonsai 2 9B's underlying rates are $0.08 per 1M input tokens and $0.13 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.

Can PrismML: Ternary Bonsai 2 9B process images?

Yes — PrismML: Ternary Bonsai 2 9B accepts image input, so you can attach screenshots, photos or diagrams and ask questions about them.

Does PrismML: Ternary Bonsai 2 9B support reasoning or thinking mode?

Yes. PrismML: Ternary Bonsai 2 9B can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.

How can I use PrismML: Ternary Bonsai 2 9B without an API key?

Open the CoreAI web app or the iOS/Android app, pick PrismML: Ternary Bonsai 2 9B in the model selector, and chat — no API key, no per-token billing. One subscription covers PrismML: Ternary Bonsai 2 9B and 300+ other models.

What are the best alternatives to PrismML: Ternary Bonsai 2 9B?

The closest alternatives on CoreAI are PrismML: Ternary Bonsai 2 27B, Recursive: Flint (free), Z.ai: GLM 5.2 — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.

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