Ternary Bonsai 2 27B API

Q: What is the Ternary Bonsai 2 27B model ID?

Use prism-ml/ternary-bonsai-2-27b as the model parameter. Requests go to the OpenAI-compatible endpoint with your AI/ML API key.

Try this model

A ternary multimodal 27B model from PrismML, good at reasoning, coding, vision, and agentic tool use on local devices.

Modalities: Image, TextText
In / Out price: $0.0794/$0.529per 1M
Context window: 256K tokens
Released: Sep 18, 2026

Ternary Bonsai 2 27B overview

Ternary Bonsai 2 27B by PrismML

Send text and image inputs; you get back multimodal reasoning outputs for tasks like reasoning, coding, vision, and agentic tool use.

Ternary Bonsai 2 27B specs

Model ID: prism-ml/ternary-bonsai-2-27b
Developer: PrismML
Context window: 262,144 tokens
Max output: 32,768 tokens
Input: Image, Text
Output: Text
API: OpenAI-compatible, base URL https://api.aimlapi.com/v1

What Is Ternary Bonsai 2 27B API?

Ternary Bonsai 2 27B is PrismML’s flagship model in the Bonsai line and is presented as the company’s most capable model yet. PrismML describes it as a ternary, multimodal model built on Qwen3.8 27B that accepts vision input alongside text.

PrismML says the model uses ternary weights with FP16 group-wise scaling and is released under the Apache 2.0 license.

Technical Reference

Developer	PrismML
Model ID	prism-ml/ternary-bonsai-2-27b
Release Date	September 18, 2026
Context Window	262,144 tokens (~262K)
Max Output Tokens	32,768 tokens
Modalities	Image, Text → Text
Capabilities	reasoning, streaming, structured (JSON schema) output, tool/function calling, vision

What Ternary Bonsai 2 27B Brings to the Table

Ternary weight format
PrismML says the model stores weights as {-1, 0, +1} values with FP16 group-wise scaling and describes this as 1.76 effective bits per weight.

Compact footprint
The company reports a total model footprint of 5.9 GB.

Multimodal input
PrismML says Ternary Bonsai 2 27B accepts vision input alongside text.

Local deployment focus
PrismML positions the model for local devices, emphasizing high local throughput and energy efficiency.

Where Ternary Bonsai 2 27B Makes the Most Sense

Multimodal reasoning
PrismML says the model supports text-and-image input, making it suitable for tasks that combine visual and language understanding.

Agentic tool use
PrismML says the model brings agentic capability and long-horizon tool use to local devices.

Coding and reasoning
PrismML highlights stronger reasoning and coding capability for the model.

Local deployment
PrismML frames the model as a compact option for running on local hardware.

Ternary Bonsai 2 27B vs the Alternatives

Qwen3.8 27B
PrismML says Ternary Bonsai 2 27B is based on Qwen3.8 27B.

Sources: https://prismml.com/news/bonsai-2-27b · https://huggingface.co/prism-ml/Ternary-Bonsai-2-27B-gguf · https://www.marktechpost.com/2026/09/18/prismml-releases-ternary-bonsai-2-27b-a-5-9-gb-apache-2-0-model-retaining-98-2-of-qwen3-8-27b-performance/

Use cases

Laptop-local 27B agents are a documented use case, with the model described as suitable for full 27B reasoning and tool use on a standard laptop, including long-document analysis and full-repository code work.

Privacy-sensitive and offline settings are another documented use case, with on-device execution described as keeping prompts and data on the device and working with intermittent or no connectivity.

Coding-agent loops and computer-use workflows are explicitly listed as intended applications, including local models handling sensitive or high-frequency tasks while escalating selectively to the cloud.

Local assistants, multimodal agents, and private knowledge workflows are also stated use cases, alongside long-running agentic tasks that traditionally depended heavily on cloud inference.

Capabilities

Reasoning
Streaming
Structured outputs
Function calling
Vision

Ternary Bonsai 2 27B API pricing

Ternary Bonsai 2 27B pricing in US dollars
Usage	Price	Unit
Input	$0.0794	1M tokens
Output	$0.529	1M tokens

Prices from the AI/ML API price list, checked on Nov 4, 2026.

Ternary Bonsai 2 27B vs other models: token prices

AI/ML API input and output rates for 5 models, per million tokens.

AI/ML API model prices in USD per million tokens
Model	Input	Output
Ternary Bonsai 2 27B	$0.0794	$0.529
Qwen 2 1.5B Instruct	$0.525	$0.525
LFM2.5-2.6B	$0.3703	$0.529
Cydonia 24B V4.1	$0.3174	$0.529
GLM 4.7 Flash	$0.1323	$0.529

How to use the Ternary Bonsai 2 27B API

View docs

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "prism-ml/ternary-bonsai-2-27b",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "prism-ml/ternary-bonsai-2-27b",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "prism-ml/ternary-bonsai-2-27b",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

Ternary Bonsai 2 27B FAQ

How much does Ternary Bonsai 2 27B cost?

Ternary Bonsai 2 27B costs $0.0794 input and $0.529 output per 1M tokens on AI/ML API, billed as you go with no subscription.

What is the Ternary Bonsai 2 27B model ID?

Use prism-ml/ternary-bonsai-2-27b as the model parameter. Requests go to the OpenAI-compatible endpoint with your AI/ML API key.

What is the context window of Ternary Bonsai 2 27B?

Ternary Bonsai 2 27B accepts up to 262,144 tokens of context and returns up to 32,768 output tokens.

Start building with Ternary Bonsai 2 27B

Get API key

Ternary Bonsai 2 27B API

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

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "prism-ml/ternary-bonsai-2-27b",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "prism-ml/ternary-bonsai-2-27b",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "prism-ml/ternary-bonsai-2-27b",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

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Ternary Bonsai 2 27B API

Ternary Bonsai 2 27B overview

Ternary Bonsai 2 27B by PrismML

Ternary Bonsai 2 27B specs

What Is Ternary Bonsai 2 27B API?

Technical Reference

What Ternary Bonsai 2 27B Brings to the Table

Where Ternary Bonsai 2 27B Makes the Most Sense

Ternary Bonsai 2 27B vs the Alternatives

Use cases

Capabilities

Ternary Bonsai 2 27B API pricing

Ternary Bonsai 2 27B vs other models: token prices

How to use the Ternary Bonsai 2 27B API

Build with your agent

1Get your API key

2Make your first request

Ternary Bonsai 2 27B FAQ

Start building with Ternary Bonsai 2 27B

Ternary Bonsai 2 27B API

Build with your agent

1Get your API key

2Make your first request

Ternary Bonsai 2 27B API

Ternary Bonsai 2 27B overview

Ternary Bonsai 2 27B by PrismML

Ternary Bonsai 2 27B specs

What Is Ternary Bonsai 2 27B API?

Technical Reference

What Ternary Bonsai 2 27B Brings to the Table

Where Ternary Bonsai 2 27B Makes the Most Sense

Ternary Bonsai 2 27B vs the Alternatives

Use cases

Capabilities

Ternary Bonsai 2 27B API pricing

Ternary Bonsai 2 27B vs other models: token prices

How to use the Ternary Bonsai 2 27B API

Build with your agent

1Get your API key

2Make your first request

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