ternary-bonsai-2-9b
Ternary Bonsai 2 9B is PrismML’s compact open-weight model for conversational AI, reasoning and tool use. Built on Qwen3.5, it packs ternary weights into 2 bits for efficient inference.
Precio: Entrada: 19.2 créditos / 1 M de tokens (≈ $0.10); salida: 31.2 créditos / 1 M de tokens (≈ $0.16).
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Ternary Bonsai 2 9B API on ModelFold
Ternary Bonsai 2 9B is PrismML’s compact open-weight model for conversational AI, reasoning and tool use. Built on Qwen3.5, it packs ternary weights into 2 bits for efficient inference. Try Ternary Bonsai 2 9B in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Ternary Bonsai 2 9B API
Ternary Bonsai 2 9B at a glance
Ternary Bonsai 2 9B 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 9B 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 9B
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 9B accepts images as input, so a single request can combine instructions with visual or other media.
Function calling
Ternary Bonsai 2 9B 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.
Reasoning mode
Ternary Bonsai 2 9B can produce reasoning before its final answer; in the Playground you can switch reasoning on or off to compare results.
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 9B on ModelFold
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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 9B responds before writing any code.
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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.
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Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "ternary-bonsai-2-9b" 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 9B
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
Low-latency experiences
Power chat interfaces, autocomplete and interactive tools where users expect fast responses.
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 9B?⌄
Ternary Bonsai 2 9B is PrismML’s compact open-weight model for conversational AI, reasoning and tool use. Built on Qwen3.5, it packs ternary weights into 2 bits for efficient inference.
Which inputs does Ternary Bonsai 2 9B support?⌄
Ternary Bonsai 2 9B 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 9B?⌄
Up to 262K tokens, shared between your input and the model’s output.
Does Ternary Bonsai 2 9B support function calling?⌄
Yes. Ternary Bonsai 2 9B supports tools / function calling through the standard tools parameter of the chat completions API.
How is Ternary Bonsai 2 9B 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 9B through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "ternary-bonsai-2-9b", using your ModelFold API key as the Bearer token.
| Entrada | 19.2 créditos 1M tokens≈ $0.10 |
| Salida | 31.2 créditos 1M tokens≈ $0.16 |
Se cobra por token, con tarifas separadas para entrada y salida. Los tokens de razonamiento cuentan como salida. El entorno de pruebas aplica exactamente el mismo cálculo.
Leer la documentación de la API →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"ternary-bonsai-2-9b","messages":[{"role":"user","content":"Hello"}]}'