prism-mlVision
PrismML: Ternary Bonsai 2 9B
Try in chat →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
262k tokens
Input / 1M tokens
$0.09
Output / 1M tokens
$0.14
Benchmark
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Uptime & performance
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Pricing
Input tokens$0.09 per 1M tokens
Output tokens$0.14 per 1M tokens
Cache read$0.04 per 1M tokens
Apps and activity
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Technical details
Model IDprism-ml/ternary-bonsai-2-9b
Context window262k tokens
Input modalitiestext, image
Output modalitiestext
TokenizerQwen
Max output tokens65,536
Use with MegaBrain
import OpenAI from 'openai'
const client = new OpenAI({
baseURL: 'https://getmegabrain.com/api/gateway/v1',
apiKey: process.env.MEGABRAIN_API_KEY,
})
const response = await client.chat.completions.create({
model: 'prism-ml/ternary-bonsai-2-9b',
messages: [{ role: 'user', content: 'Hello!' }],
})Ready to use PrismML: Ternary Bonsai 2 9B?
Try it in the browser first, then get an API key and start making requests in minutes.