Identity
- Status
- active
- Developer ID
prism-ml/Ternary-Bonsai-27B- Released
- Jul 4, 2026
- Version
- Ternary Bonsai 27B
- License
- apache-2.0
PrismMLTernary Bonsai 27B
PrismML's ternary multimodal Qwen3.6 27B derivative with local vision, reasoning, and tool-calling support.
- Token context
- 262K tokens
- Inputs
- Text, Image
- Outputs
- Text
- Released
- Jul 4, 2026
Providers & Pricing
1 current sourced offerings
No Directly Sourced Provider Price YetAPI pricing is provider-specific and stays unknown until a serving provider publishes an exact offering for this model version.
At a Glance
Model Facts
Capacity
- Token context
- 262K tokens
- Maximum output
- Unknown
- Total parameters
- 27B
- Active parameters
- Unknown
- Knowledge cutoff
- Not reported
Interface and Access
- Inputs
- Text, Image
- Outputs
- Text
- API available
- Yes
- Open weights
- Yes
- Self-hostable
- Yes
- Reasoning
- Yes
- Vision
- Yes
- Tool calling
- Yes
- Capabilities
- chat, generation, reasoning, tools, vision
Technical Specifications
- Base model
- Qwen3.6 27B
- Weight format
- Ternary Q2_0
- Effective bit width
- 1.58 bits per weight
- Language model size
- 6.66 GiB
This page represents one developer model product. Dated API snapshots, serving endpoints, pricing, regions, quantizations, and service tiers attach as versioned aliases or provider details and never create duplicate public model records.
Version Lineage
PredecessorUnknown
SuccessorsUnknown
Aliasesprism-ml/Ternary-Bonsai-27B, prism-ml/Ternary-Bonsai-27B-gguf, prism-ml/Ternary-Bonsai-27B-mlx-2bit
Explicit Unknowns
- Maximum output
- Architecture
- Tokenizer
- Knowledge cutoff
- Provider pricing
Primary Evidence
Sources and Observation Date
Comparable Peers
Related Model Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Ternary Bonsai 27BPrismML | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Ternary Bonsai 27BPrismML | vs | Claude Fable 5.1Anthropic | cross-developer peersimage, text |
Ternary Bonsai 27BPrismML | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Ternary Bonsai 27BPrismML | vs |  DeepSeek V4.1 FlashDeepSeek | cross-developer peersimage, text |
Ternary Bonsai 27BPrismML | vs | Grok 4.6xAI | cross-developer peersimage, text |
Ternary Bonsai 27BPrismML | vs |  Qwen3.8 MaxQwen | cross-developer peersimage, text |
Ternary Bonsai 27BPrismML | vs |  Kimi K3Moonshot AI | cross-developer peersimage, text |
Ternary Bonsai 27BPrismML | vs |  MiniMax M3MiniMax | cross-developer peersimage, text |
Ternary Bonsai 27BPrismML | vs |  GLM 5.3Z.ai | cross-developer peerstext |
Ternary Bonsai 27BPrismML | vs |  Hy4 previewTencent | cross-developer peerstext |
Ternary Bonsai 27BPrismML | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Ternary Bonsai 27BPrismML | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Ternary Bonsai 27BPrismML | vs | cross-developer peersimage, text | |
Ternary Bonsai 27BPrismML | vs |  Nova 2 LiteAmazon | cross-developer peersimage, text |
Ternary Bonsai 27BPrismML | vs | cross-developer peersimage, text | |
Ternary Bonsai 27BPrismML | vs |  ERNIE 5.1Baidu | cross-developer peerstext |
Ternary Bonsai 27BPrismML | vs | cross-developer peerstext | |
Ternary Bonsai 27BPrismML | vs | cross-developer peerstext | |
Ternary Bonsai 27BPrismML | vs |  Phi-4 ReasoningMicrosoft | cross-developer peerstext |
Ternary Bonsai 27BPrismML | vs | cross-developer peerstext | |
Ternary Bonsai 27BPrismML | vs |  Sonar ProPerplexity | cross-developer peerstext |
Ternary Bonsai 27BPrismML | vs | Claude Mythos 5.1Anthropic | cross-developer peersimage, text |
Questions
Ternary Bonsai 27B FAQs
What is Ternary Bonsai 27B?+
PrismML's ternary multimodal Qwen3.6 27B derivative with local vision, reasoning, and tool-calling support. It is developed by PrismML and its current sourced lifecycle status is active.
What inputs and outputs does Ternary Bonsai 27B support?+
Ternary Bonsai 27B's current record lists Text and Image as input and Text as output.
How much context does Ternary Bonsai 27B support?+
The current record lists a 262K-token context window and does not report a maximum output length.
What technical specifications are published for Ternary Bonsai 27B?+
Ternary Bonsai 27B's developer-published specifications include base model: Qwen3.6 27B; weight format: Ternary Q2_0; effective bit width: 1.58 bits per weight; language model size: 6.66 GiB.
How large is Ternary Bonsai 27B?+
The current record lists 27B total parameters and an unknown active parameter count. Its architecture is not reported.
What capabilities and tasks does Ternary Bonsai 27B support?+
Ternary Bonsai 27B's recorded capabilities are chat, generation, reasoning, tools, and vision. Its supported tasks are image, reasoning, and text.
Is Ternary Bonsai 27B available through an API?+
Ternary Bonsai 27B is marked as API-available. The directly sourced provider records currently include Together Ai.
How much does Ternary Bonsai 27B cost through an API?+
No directly sourced token price is currently attached to Ternary Bonsai 27B. Missing prices remain unknown rather than being inferred from another model or provider.
Can Ternary Bonsai 27B be self-hosted?+
Ternary Bonsai 27B is an open-weight model. Self-hosting is supported, and the recorded license is apache-2.0.
Does Ternary Bonsai 27B have related versions or aliases?+
No predecessor is recorded. No successor is recorded. Recorded aliases are prism-ml/Ternary-Bonsai-27B, prism-ml/Ternary-Bonsai-27B-gguf, and prism-ml/Ternary-Bonsai-27B-mlx-2bit.