Bonsai Models by PrismML

PrismMLApache 2.0Open sourceOpen SourceMultimodalAgents
PrismML releases · 2 in the last 12 monthsChangelog →
2 models2026Up to 256K ctx

Last refreshed 2026-10-08. Next refresh: weekly.

Details

ResearcherPrismML
LicenseApache 2.0OSI-approved
Commercial useCommercial use: permitted
Models2
Released2026
Max context256K

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. Ternary Bonsai 2 27B is the current flagship, with prior Ternary Bonsai 27B as a sibling under the same family.

Decision facts

Best fit
agentson devicevision and multimodal work
Capability starting point
Ternary Bonsai 2 27B with 256K context and reasoning, JSON / Tool use, and multimodal inputs
Lowest tracked input
Not tracked
Closest related family
Agents-A1

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, 256K context, and 27.4B parameters.

2026-09on device256K context27.4B parameters

Use when the workload needs on device, 256K context, and 27B parameters.

2026-07on device256K context27B parameters

Release Timeline

2 release groups
2026-09
1 current
Ternary Bonsai 2 27B
on device256K context27.4B parameters
Current
2026-07
1 current
Ternary Bonsai 27B
on device256K context27B parameters
Current

Specifications(2 models)

Bonsai model specifications comparison
ModelReleasedContextParametersVisionMultimodalReasoningJSON / Tool use
Ternary Bonsai 2 27B2026-09256K27.4BYesYesYesYes
Ternary Bonsai 27B2026-07256K27BYesYesYesYes