Ternary Bonsai 2 27B with Jev
Ternary Bonsai 2 27B is a model from PrismML, released 2026-09-18. It costs $0.075 per million input tokens and $0.500 per million output tokens, reads up to 262K tokens of context, and writes up to 32,768 tokens in one reply. Through llm11, set model to prism-ml/ternary-bonsai-2-27b.
- Input price
- $0.075 / 1M
- Output price
- $0.500 / 1M
- Context window
- 262K tokens
- Max output
- 33K tokens
- Cached input
- $0.037 / 1M
- Released
- 2026-09-18
- Accepts
- text, image
Read from the provider's prompt cache
Read from the live catalogue and refreshed daily. At blended list price, 78% of the 332 priced models we can call cost more.
Using Ternary Bonsai 2 27B with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Ternary Bonsai 2 27B does the answering when Jev sends it work, or when you name it yourself. At list price Ternary Bonsai 2 27B falls in the llm11-fast band, but no pack routes to it because PrismML is not one of the labs the packs draw from. You can still pin it: pass prism-ml/ternary-bonsai-2-27b as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for Ternary Bonsai 2 27B with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00014 | $0.138 |
| Question over retrieved documents | 4,000 / 500 | $0.00055 | $0.550 |
| Long document summary | 30,000 / 1,000 | $0.00275 | $2.75 |
Cheaper models to try
The catalogue has no benchmark score for Ternary Bonsai 2 27B, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Google Gemini 2.5 Flash LiteRetires 2026-10-20 | $0.100 | $0.400 | 1.05M | |
| OpenAI GPT-4.1 Nano | $0.100 | $0.400 | 1.05M | |
| Google Gemma 3 27B | $0.080 | $0.450 | 131K | |
| Meta Llama 3.3 70B Instruct | $0.100 | $0.320 | 131K |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="prism-ml/ternary-bonsai-2-27b",
messages=[{"role": "user", "content": "Hello"}],
)Questions
- What is Ternary Bonsai 2 27B with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Ternary Bonsai 2 27B does the answering when Jev sends it work, or when you name it yourself. At list price Ternary Bonsai 2 27B falls in the llm11-fast band, but no pack routes to it because PrismML is not one of the labs the packs draw from. You can still pin it: pass prism-ml/ternary-bonsai-2-27b as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Ternary Bonsai 2 27B a System One model?
- No. Ternary Bonsai 2 27B answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does Ternary Bonsai 2 27B cost?
- $0.075 per million input tokens and $0.500 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00055, so a thousand of them is about $0.550. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Ternary Bonsai 2 27B context window?
- 262,144 tokens, with up to 32,768 tokens in a single reply.
- Does Ternary Bonsai 2 27B support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use Ternary Bonsai 2 27B through llm11?
- Yes. Set model to prism-ml/ternary-bonsai-2-27b on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Ternary Bonsai 2 27B?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price Ternary Bonsai 2 27B falls in the llm11-fast band, but no pack routes to it because PrismML is not one of the labs the packs draw from. You can still pin it: pass prism-ml/ternary-bonsai-2-27b as model and routing steps aside while verification still runs.
- What is a cheaper alternative to Ternary Bonsai 2 27B?
- Nearest in price and below it: Google Gemini 2.5 Flash Lite at $0.100 in and $0.400 out, OpenAI GPT-4.1 Nano at $0.100 in and $0.400 out and Google Gemma 3 27B at $0.080 in and $0.450 out. The catalogue has no benchmark score for Ternary Bonsai 2 27B, so this is a price ordering. It does not claim these answer as well.