Prism Ml
Ternary Bonsai 2 27B
Tool callingStructured outputReasoningImage input
- Context
- 262K
- Released
- 4w ago
- Parameters
- 27B
- Input / 1M tokens
- $0.08
- Output / 1M tokens
- $0.50
- Cached input / 1M tokens
- $0.04
Sources:OpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- Prism Ml
- Model family
- —
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- September 17, 2026
- Model ID
prism-ml/ternary-bonsai-2-27b- Openness
- Open weights
- License
- —
- Parameters
- 27B
- Input modalities
- text, image
- Output modalities
- text
- Modality
- text+image->text
- Tokenizer
- Qwen
- Max output tokens
- 33K
- Hugging Face
- prism-ml/Ternary-Bonsai-2-27B-gguf
- Source freshness
- Endpoints synced Oct 15, 2026, 1:14 PM UTC
Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| darkbloom/int4 | 262K | $0.08 | $0.50 | $0.04 | — | 98.82% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Deployment graph
Can I run this?
Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.