Prism ML: Ternary Bonsai 2 9B
prism-ml/ternary-bonsai-2-9b
Try Ternary Bonsai 2 9B for free in your browser, and add it to your app for free with Puter.js AI API.
Try it free Add to your app// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "prism-ml/ternary-bonsai-2-9b"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "prism-ml/ternary-bonsai-2-9b"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
Ternary Bonsai 2 9B is a multimodal language model from PrismML, part of its Bonsai 2 family. It is derived from Alibaba's Qwen3.5-9B and released under the Apache 2.0 license.
PrismML says it improves reasoning, visual understanding and tool calling over the earlier Bonsai models, and that the 9B uses about 40% fewer tokens on standard instruction-following and everyday math tasks. It accepts text and image input, returns text, and has a context window of roughly 262K tokens. It supports tool calling, structured output and streaming.
It suits developers who want a small, inexpensive model for assistants, tool-calling workflows and concise answers.
Context Window 262K
tokens
Max Output 66K
tokens
Input Cost $0.08
per million tokens
Output Cost $0.13
per million tokens
Release Date Oct 16, 2026
Try Ternary Bonsai 2 9B for free
Try Ternary Bonsai 2 9B instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From Prism ML
Ternary Bonsai 2 27B
Ternary Bonsai 2 27B is PrismML's second-generation ternary-weight compression of a Qwen3.8 27B base model, following the original Bonsai 27B built on Qwen3.6. Weights are stored in a ternary {-1, 0, +1} format with FP16 group-wise scaling, giving roughly 1.76 effective bits per weight and a 5.9GB footprint, about 9x smaller than the full-precision model. Across a 20-benchmark thinking-mode suite, it averages 83.9, retaining 98.2% of the Qwen3.8 27B baseline's 85.4 score, up from the roughly 95% retention PrismML reported for the first-generation Bonsai 27B. Category scores include 96.57 on math and 81.58 on coding. It supports a 262K-token context window, tool calling, and image input alongside text, making it suited for coding agents, math-heavy workloads, and long-document or multimodal tasks where compute budget matters.
ChatTernary Bonsai 27B
Ternary Bonsai 27B is PrismML's ternary-weight build of Qwen3.6 27B, compressing the model to roughly 1.71 bits per weight while retaining about 95% of full-precision quality. Across a 15-benchmark suite covering knowledge, reasoning, math, coding, instruction following, tool calling, and vision, it averages 80.49 in thinking mode, including 99.20 on MATH-500, 93.90 on HumanEval+, 82.75 on LiveCodeBench, and 74.41 on BFCL v3 for tool calling. It also handles vision input, scoring 68.96 on MMMU-Pro. The model supports a 262K-token context window and structured JSON output, making it suited for long-document analysis, coding agents, and tool-calling workflows. PrismML also offers a 1-bit variant of Bonsai 27B with a smaller footprint; the ternary build trades some of that compression for higher accuracy across the same benchmark suite.
Frequently Asked Questions
You can access Ternary Bonsai 2 9B by Prism ML through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Ternary Bonsai 2 9B is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.
Ternary Bonsai 2 9B is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price per 1M tokens | |
|---|---|
| Input | $0.08 |
| Output | $0.13 |
Ternary Bonsai 2 9B was created by Prism ML and released on Oct 16, 2026.
Ternary Bonsai 2 9B supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.
Ternary Bonsai 2 9B can generate up to 66K tokens in a single response.
Yes — the Ternary Bonsai 2 9B API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Add Ternary Bonsai 2 9B to your app for free
Developers can integrate Ternary Bonsai 2 9B for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.