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ternary-bonsai-2-27b

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Bonsai 2 27B is a 27B reasoning model from PrismML derived from Qwen3.8-27B, supporting coding, mathematics, tool calling and image understanding; ternary compression shrinks the model for efficient serving.

料金: 入力:100 万トークンあたり 18 クレジット(約 $0.09)、出力:100 万トークンあたり 120 クレジット(約 $0.60)。

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Ternary Bonsai 2 27B の使い方ガイド

Ternary Bonsai 2 27B API on ModelFold

Bonsai 2 27B is a 27B reasoning model from PrismML derived from Qwen3.8-27B, supporting coding, mathematics, tool calling and image understanding; ternary compression shrinks the model for efficient serving. Try Ternary Bonsai 2 27B in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.

What Is the Ternary Bonsai 2 27B API

Ternary Bonsai 2 27B at a glance

Ternary Bonsai 2 27B is a chat model from PrismML. It accepts text and images as input and returns text, with a context window of up to 262K tokens.

Use it without hosting anything

On ModelFold you call Ternary Bonsai 2 27B with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.

Core Capabilities of Ternary Bonsai 2 27B

Up to 262K tokens of context

Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.

Understands images

Besides text, Ternary Bonsai 2 27B accepts images as input, so a single request can combine instructions with visual or other media.

Function calling

Ternary Bonsai 2 27B supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.

Adjustable reasoning effort

Choose a reasoning effort level (low, medium or high) per request to balance depth of thinking against speed and token usage.

Structured outputs

Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.

How to Use Ternary Bonsai 2 27B on ModelFold

  1. 1

    Step 1: Try it in the Playground

    Open the Playground at the top of this page, type a prompt and see how Ternary Bonsai 2 27B responds before writing any code.

  2. 2

    Step 2: Create an API key

    Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.

  3. 3

    Step 3: Send a request

    Call POST https://modelfold.ai/v1/chat/completions with "model": "ternary-bonsai-2-27b" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.

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    Step 4: Ship and monitor

    Integrate the response into your product and check token usage and spend for every call in the console logs.

What You Can Build with Ternary Bonsai 2 27B

High-volume pipelines

Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.

AI coding assistants

Generate, explain, debug and refactor code, review pull requests and work through multi-file changes in developer tools and IDE plugins.

Analysis and complex reasoning

Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.

Screenshot and image understanding

Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.

Frequently Asked Questions

What is Ternary Bonsai 2 27B?⌄

Bonsai 2 27B is a 27B reasoning model from PrismML derived from Qwen3.8-27B, supporting coding, mathematics, tool calling and image understanding; ternary compression shrinks the model for efficient serving.

Which inputs does Ternary Bonsai 2 27B support?⌄

Ternary Bonsai 2 27B accepts text and images and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.

How long is the context window of Ternary Bonsai 2 27B?⌄

Up to 262K tokens, shared between your input and the model’s output.

Does Ternary Bonsai 2 27B support function calling?⌄

Yes. Ternary Bonsai 2 27B supports tools / function calling through the standard tools parameter of the chat completions API.

How is Ternary Bonsai 2 27B billed on ModelFold?⌄

Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.

How do I call Ternary Bonsai 2 27B through the API?⌄

Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "ternary-bonsai-2-27b", using your ModelFold API key as the Bearer token.

料金表
入力18 クレジット 1M tokens≈ $0.09
出力120 クレジット 1M tokens≈ $0.60

トークン単位で課金し、入力と出力は別料金です。思考トークンは出力に含まれます。Playground でも同じ計算を使います。

API ドキュメントを見る →AI Agents · Claude Code / Cursor / Trae →
クイックスタート
POST/v1/chat/completions
curl https://modelfold.ai/v1/chat/completions \
  -H "Authorization: Bearer $MODELFOLD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"ternary-bonsai-2-27b","messages":[{"role":"user","content":"Hello"}]}'