LLM Reference

Bonsai Models by PrismML

PrismMLApache 2.0Open sourceOpen SourceMultimodalAgents
2 models2026Up to 262k ctx

Last refreshed 2026-09-17. Next refresh: weekly.

Details

ResearcherPrismML
LicenseApache 2.0OSI-approved
Commercial useCommercial use: permitted
Models2
Released2026
Max context262k

Capabilities

VisionAll models
MultimodalAll models
ReasoningAll models
JSON / Tool useAll models

About

Bonsai is PrismML's family of 1-bit and ternary open-weight language models for local / edge deployment (docs: 'Bonsai is a family of 1-bit and ternary language models from PrismML'). Line includes Ternary Bonsai 2 27B (2026-09-17; based on Qwen3.8 27B), prior Bonsai 27B generation (2026-07-14; based on Qwen3.6 27B — Ternary + 1-bit variants), smaller Bonsai 8B/4B/1.7B, and Bonsai Image. Tip priority this pass: Ternary Bonsai 2 27B with prior Ternary Bonsai 27B sibling under the same family. Compare it for Open Source / Multimodal / Agents / on-device.

Decision facts

Best fit
multimodalagentson device
Capability starting point
Ternary Bonsai 2 27B with 262k context and reasoning, JSON / Tool use, and multimodal inputs
Lowest tracked input
Not tracked
Closest related family
K2 Horizon

Current Variants

Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.

2 in view

Use when the workload needs on device, 262k context, and 27.4B parameters.

2026-09on device262k context27.4B parameters

Use when the workload needs on device, 262k context, and 27B parameters.

2026-07on device262k context27B parameters

Release Timeline

2 release groups
2026-09
1 current
Ternary Bonsai 2 27B
on device262k context27.4B parameters
Current
2026-07
1 current
Ternary Bonsai 27B
on device262k context27B parameters
Current

Specifications(2 models)

Bonsai model specifications comparison
ModelReleasedContextParametersVisionMultimodalReasoningJSON / Tool use
Ternary Bonsai 2 27B2026-09262k27.4BYesYesYesYes
Ternary Bonsai 27B2026-07262k27BYesYesYesYes