Ternary Bonsai 2 27B
by PrismMLprism-ml/ternary-bonsai-2-27b
LLMCompare cannot run Ternary Bonsai 2 27B yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
See the models that can be run nowTernary Bonsai 2 27B at a glance
- Context length
- 262,144 tokens
- Maximum output
- 32,768 tokens
- Accepts
- Text, Image
- Returns
- Text
- Features
- ReasoningJSON outputTool callingPrompt cachingImage input
- Reasoning effort levels
xhighmediumnoneReasoning can be turned off.- Released
- 18 Sep 2026
- Knowledge cutoff
- Not published
Model facts synced from the OpenRouter model list on 21 Oct 2026.
Ternary Bonsai 2 27B pricing by route
A route is the service LLMCompare calls to reach the model. Ternary Bonsai 2 27B has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache readper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $0.075 | $0.50 | $0.0375 | openrouter.ai/prism-ml/ternary-bonsai-2-27b |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to Ternary Bonsai 2 27B costs. The starting numbers are examples. Change them to match your task.
Part of the input tokens above, billed at the cache read price.
Billed in addition to the output tokens.
- Cost per call
- $0.00033
- 1 credits
- Cost of 100 calls
- $0.0325
- 100 credits
Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
temperature | Number | 0 to 2in steps of 0.1 | Provider default |
top_p | Number | 0 to 1in steps of 0.05 | Provider default |
max_tokens | Integer | 1 to 32,768 | Provider default |
reasoning_effort | One of | xhighmediumnone | xhigh |
seed | Integer | -2,147,483,648 to 4,294,967,295 | Provider default |
response_format | One of | textjson_object | Provider default |
About Ternary Bonsai 2 27B
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. Ternary compression shrinks...
Description as published for this model. LLMCompare has not edited it.
Models to compare with Ternary Bonsai 2 27B
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
Claude Haiku 5.5Anthropicanthropic/claude-haiku-5.5 | 1M | 128k | $0.10 | $0.50 | ReasoningJSONToolsCacheVision | No route yet | ||
GPT-6 Luna ProOpenAIopenai/gpt-6-luna-pro | 1.05M | 128k | $0.10 | $0.50 | ReasoningJSONToolsCacheVision | No route yet | ||
GPT-6 LunaOpenAIopenai/gpt-6-luna | 1.05M | 128k | $0.10 | $0.50 | ReasoningJSONToolsCacheVision | Runnable now | ||
Gemma 4 31BGooglegoogle/gemma-4-31b-it | 262k | 16.4k | $0.20 | $0.40 | JSONToolsVision | No route yet | ||
Qwen3.8 Omni FlashQwenqwen/qwen3.8-omni-flash | 1M | 131k | $0.15 | $0.47 | JSONToolsCacheVision | No route yet | ||
Qwen3.8 FlashQwenqwen/qwen3.8-flash | 1M | 131k | $0.15 | $0.47 | JSONToolsCacheVision | No route yet |
Questions about Ternary Bonsai 2 27B
- How much does Ternary Bonsai 2 27B cost?
- On the OpenRouter route, Ternary Bonsai 2 27B costs $0.075 per 1 million input tokens and $0.50 per 1 million output tokens, in US dollars. Input tokens that Ternary Bonsai 2 27B reads from the prompt cache cost $0.0375 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of Ternary Bonsai 2 27B?
- Ternary Bonsai 2 27B has a context length of 262,144 tokens and returns up to 32,768 output tokens in one call.
- What inputs does Ternary Bonsai 2 27B accept?
- Ternary Bonsai 2 27B accepts these inputs: Text, Image. Ternary Bonsai 2 27B returns: Text.
- Which reasoning effort levels does Ternary Bonsai 2 27B support?
- Ternary Bonsai 2 27B supports these reasoning effort levels: xhigh, medium, none. Reasoning can be turned off for Ternary Bonsai 2 27B.
- Can I test Ternary Bonsai 2 27B on my own data?
- Not yet. LLMCompare lists the prices and parameters of Ternary Bonsai 2 27B, but no route to Ternary Bonsai 2 27B is configured on LLMCompare, so it cannot be selected for an evaluation.