Ternary Bonsai 2 27B: pricing, context and benchmarks

What you need to know about Ternary Bonsai 2 27B

Prism ML put Ternary Bonsai 2 27B online on September 18, 2026. It accepts text and images as input and produces text. Its context window reaches 262,144 tokens, larger than 58 % of the models in the registry, and it can write up to 32,768 tokens in one go.

It is a recent model: real-world feedback and independent scores are still scarce.

Ternary Bonsai 2 27B pricing

On OpenRouter, Ternary Bonsai 2 27B costs $0.08 per million input tokens and $0.5 per million output tokens. Counting three tokens read for every token written, its average price is $0.181 per million, more expensive than 20 % of paid models (4.2 times cheaper than the median of $0.76).

A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0004. At 1,000 tasks a day, budget $12 a month. The price calculator redoes this with your own volumes.

Tokens already sent and cached are billed at $0.038 per million.

Performance and benchmarks

Epoch AI does not yet publish a capabilities index for Ternary Bonsai 2 27B. We therefore show no made-up performance rating: only price, context and features count towards its score.

Features, privacy and local use

• It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
• It can answer in an enforced JSON format (structured outputs).
• It is a reasoning model: it "thinks" before answering, which helps on hard tasks but uses more output tokens.

Its weights are open and downloadable from Hugging Face (apache-2.0 licence): you can run it on your own machines without sending your data to a third party. With 26,895,998,464 billion parameters, it needs about 15,029,310,322 GB of memory at 4-bit quantisation. Check with the VRAM calculator. It was downloaded 2,272,409 times on Hugging Face last month.