Measured on Composite
This model has not carried enough traffic on Composite yet to publish a success rate, a latency figure or a traffic rank. The numbers appear here once it has.
AI model
PrismML: Ternary Bonsai 2 9B
prism-ml/ternary-bonsai-2-9b
PrismML: Ternary Bonsai 2 9B is a 262,144-token model served on Composite at $0.100 per million tokens in and $0.163 per million tokens out.
Try in PlaygroundSpecifications
| Model ID | prism-ml/ternary-bonsai-2-9b |
|---|---|
| Provider | cv11 |
| Context window | 262,144 tokens |
| Accepts | text, image |
| Returns | text |
| Input price | $0.100 per million tokens |
| Output price | $0.163 per million tokens |
| Prompt caching | Supported — cached input is billed at the provider's cache rate, on credits and plans alike |
| Moderated | No |
| Cost on a monthly plan | About 0.8 plan credits per typical call (8k in, 1k out) |
| Routing endpoints | 2 (base plus 1 routing variant) |
Routing variants
The same model behind 1 alternative endpoint. Call the id directly to pin a route; the base id above picks for you.
| Route | Model ID | Provider | Price |
|---|---|---|---|
| cheapThink | prism-ml/ternary-bonsai-2-9b:cheapThink |
cv11 | $0.100 per million tokens input · $0.163 per million tokens output |
Pricing
$0.100 per million tokens input · $0.163 per million tokens output
Credits pay the provider’s price plus 25%; cache hits cost less.
On a monthly plan, a typical call (8k tokens in, 1k out) uses about 0.8 plan credits, at the provider's own price.
Provider
cv11
Roleplay fit
This model is available on Composite alongside dozens of others from other labs, so it is easy to compare against similar options.
Context behavior
With a 262,144-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.
Cost for regular use
It is priced low enough for high-volume daily roleplay without the per-message cost adding up quickly.
From the provider
Ternary Bonsai 2 9B is PrismML’s compact, open-weight language model for conversational AI, reasoning, and tool use. Built on Qwen3.5, it uses ternary weights packed into 2 bits for efficient...
Supplied by cv11, not written by Composite.
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