MODEL PROFILE

Ternary Bonsai 2 27B

prism-ml · 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...

Text generationreasoningstructured_outputstools
Context window262,144 Token
Input → OutputText、Image → Text
Model weightsOpen weights
Profile updated2026/11/7 03:58:16
OVERVIEW

Model overview

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...

The summary below is compiled from sources by an AI model, not our own testing. Verify selection decisions against original sources and your workload.

Key features

  • 27-billion-parameter reasoning model derived from Qwen3.8-27B
  • Supports multimodal inputs including text and image
  • Features 262K-token context window and capabilities in coding, mathematics, tool calling, and image understanding

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
OpenRouter · prism-ml/ternary-bonsai-2-27b ↗USD 0.075USD 0.5Per million tokens2026/11/2 06:25:22

Some channels offer cache discounts. Check the source for cache read, write and additional fees.

Estimate monthly base token costs

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Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

What modalities does Ternary Bonsai 2 27B accept as input?

It accepts both text and image inputs.

Is Ternary Bonsai 2 27B optimized for structured or tool-augmented outputs?

Yes — it is tagged for 'structured_outputs' and 'tools', indicating support for structured and tool-calling workflows.

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

Its context window is 262,144 tokens.

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:来源未披露,须进一步核验。模型介绍与第三方评测均以原来源的具体版本和方法为准。