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  1. Home
  2. Models
  3. Ternary Bonsai 2 27B
Updated Sep 22, 2026
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Openings

How Ternary Bonsai 2 27B starts an answer

The first lines of every written answer it has on Rival. Formatting stripped, words untouched.

Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

1,636 words
For the Distributed-Systems Engineer Think of the model as a single, enormous state object—roughly 150 billion floating-point parameters—that has been trained offline over months on a cluster of thousands of GPUs.
Read the full answer

Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

358 words
🍫 Velvet Hour Skillet Cakes A one-pan, one-pan-pour, one-lick-the-spoon kind of dessert. Fluffy, deeply chocolate, and done before your coffee goes cold. Serves: 2–3 Prep: 10 min Cook: 12–15 min Total: ~25 min The 7 Ingredients # Ingredient Amount 1 All-purpose flour ¾ cup 2 Granulated sugar ⅓ cup 3 Unsweetened cocoa…
Read the full answer

Compare Ternary Bonsai 2 27B

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Ternary Bonsai 2 27B vs GLM 5.33 shared prompts · Landed Sep 2026

Prompts Ternary Bonsai 2 27B answered

  • Simple 7-Ingredient Recipeconversation
  • Explain Like I'm a Specific Expertreasoning

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Ternary Bonsai 2 27B

Ternary Bonsai 2 27B

PrismML reasoning model derived from Qwen3.8-27B, using ternary weight compression for efficient inference. Supports coding, mathematics, tool calling, and image understanding with a 262K context window.

OpenRouterDocsGitHubBlog
Provider
PrismML
Released
2026-09-18
Parameters
27B
Free API (OpenRouter)
No
Per 1M tokens
$0.07 in · $0.50 out
Rival’s tab
$0.0026
3/3 receipts survived

Free API availability

No free endpoint for Ternary Bonsai 2 27B was found in Rival’s OpenRouter listings. Other providers or chat apps may have separate free offers.

Provider data: 22 Sep 2026 · OpenRouter usage limits

View API options↗
Get API accessProvider and language code samples
Provider
fromimport openai  OpenAI

client = OpenAI(
"https://openrouter.ai/api/v1"    base_url=,
"$OPENROUTER_API_KEY"    api_key=,
)

response = client.chat.completions.create(
"prism-ml/ternary-bonsai-2-27b"    model=,
"role""user""content""Hello!"    messages=[{: , : }],
)
print(response.choices[0].message.content)

Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.

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Model Responses

2 outputs · $0.0025 tracked across 2 receipts

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