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Prism Ml: PrismML: Ternary Bonsai 2 27B

Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks...

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API record Report
InputT
OutputT
Input price$0.075/M
Output price$0.5/M
Context262.144K
Max output32.768K
Providers0
Inference availability

Providers

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Specification

Capabilities

Recorded from the source catalog and provider listings.

? Reasoning Unknown
? Tool calling Unknown
? Structured output Unknown
? Attachments Unknown
Vision input Yes
? Open weights Unknown
Creator
Prism Ml
Model family
Not documented
Knowledge cutoff
Not documented
License
Not documented
Release date
Not documented
Model ID
prism-ml/ternary-bonsai-2-27b
Published evaluations

Benchmarks

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Benchmark registry
No published benchmark results

ModelBench does not infer quality from price, context size, or model name. When a source publishes a comparable result, it appears here with its version and link.

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Catalog activity

Change log

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Full change log
No changes recorded

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Provenance

Sources & verification

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Methodology
Last verified
Sep 18, 2026
Status
Source-linked
Confidence
Medium
Catalog source
OpenRouter
Public API

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API documentation
Endpoint
GET https://model.kyssta.lol/api/v1/models/prism-ml/ternary-bonsai-2-27b
curl
curl "https://model.kyssta.lol/api/v1/models/prism-ml/ternary-bonsai-2-27b"
Common questions

Frequently asked questions

Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.

What is PrismML: Ternary Bonsai 2 27B?

Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks. It is published by Prism Ml and catalogued here from OpenRouter.

What is the context length of PrismML: Ternary Bonsai 2 27B?

PrismML: Ternary Bonsai 2 27B accepts up to 262.144K tokens of context and returns up to 32.768K output tokens.

Does PrismML: Ternary Bonsai 2 27B support tool calling and structured output?

Provider catalogs list support for image input.