// prism-ml
Ternary Bonsai 2 9B
prism-ml/ternary-bonsai-2-9b
Ternary Bonsai 2 9B costs $0.080 per 1M input tokens and $0.130 per 1M output tokens with a 262K-token context window.
A reasoning, tool-calling model from prism-ml, released Oct 16, 2026. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.080
- Output / 1M
- $0.130
- Context
- 262K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.080 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $0.130 |
| Blended price 3:1 input:output — #32 cheapest of 355 listed models | $0.092 |
| Cached input read Blank means not priced separately — not free | $0.040 |
| Cache write | — |
| Context window | 262,144 tokens |
| Max output | 65,536 tokens |
| Input modalities | text, image |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | Oct 16, 2026 |
What Ternary Bonsai 2 9B costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $26.72/mo |
| RAG assistant 8K in / 600 out × 100K requests | $55.80/mo |
| Coding agent 40K in / 4K out × 20K requests | $52.00/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $87.75/mo |
| Bulk classification 500 in / 20 out × 5M requests | $193.00/mo |
Ternary Bonsai 2 9B FAQ
How much does Ternary Bonsai 2 9B cost?
Ternary Bonsai 2 9B lists at $0.080 per 1M input tokens and $0.130 per 1M output tokens, with cached input reads at $0.040 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $55.80 at list price.
What is the context window of Ternary Bonsai 2 9B?
Ternary Bonsai 2 9B accepts up to 262,144 tokens of context and can return up to 65,536 output tokens per response.
Does Ternary Bonsai 2 9B support tool calling?
Yes — Ternary Bonsai 2 9B supports tool (function) calling and exposes extended reasoning. It accepts text, image input.
How does Ternary Bonsai 2 9B score on benchmarks?
LiveBench has not published a run for Ternary Bonsai 2 9B yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for Ternary Bonsai 2 9B?
On OpenRouter the model ID is "prism-ml/ternary-bonsai-2-9b". It was listed on Oct 16, 2026.
More from prism-ml
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release —. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.