PrismML models
PrismML works on making capable models small enough to run cheaply. Zeplik carries Ternary Bonsai 2 27B, a reasoning model derived from Qwen3.8-27B and shrunk by ternary compression, which handles code, mathematics, tool calling and image understanding over a 262K window.
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Pricing at a glance
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| Ternary Bonsai 2 27B | 262K | 0.90 | 6.0 | September 2026 |
Frequently asked questions
- Which PrismML models can I use on Zeplik?
- Zeplik carries 1 PrismML model: Ternary Bonsai 2 27B. They all run in the same chat, so you do not need a separate PrismML account or API key.
- How much do PrismML models cost on Zeplik?
- Output tokens cost 6.0 credits per million (raw provider rate $0.50 per million). 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.
- Which PrismML model has the largest context window?
- Ternary Bonsai 2 27B, at 262K tokens (262,144). The context window covers the conversation plus any documents you attach.
- Do PrismML models support images and tool calling?
- All 1 accept image input, and all of them support tool calling.
- Do I need a paid plan to use PrismML models on Zeplik?
- All 1 need a paid plan (Plus or above). Usage is then billed in credits from your monthly allowance.
- What is the newest PrismML model on Zeplik?
- Ternary Bonsai 2 27B, released September 2026. 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.
Other providers
- OpenAI (100)
- Qwen (53)
- Google (42)
- Anthropic (29)
- Mistral (26)
- Z.ai (18)
- DeepSeek (15)
- NVIDIA (11)
- All models
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