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  1. Home/
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  3. Grok 3 Thinking vs Ternary Bonsai 2 27B
Updated Sep 2026

Grok 3 Thinking vs Ternary Bonsai 2 27B

Ternary Bonsai 2 27B has a larger context window than Grok 3 Thinking (262K tokens vs 128K tokens).

Linear App Clone

Rebuild the Linear UI in Tailwind. The animations are where it shows.

Loading the build
Grok 3 Thinking
Loading the build
Ternary Bonsai 2 27B

Which answer wins?

Written rounds

5 prompts
  • Three minutes of stand-up. Puns are banned.

    Grok 3 Thinking: Here’s a 3-minute stand-up comedy routine that avoids puns and leans on observational humor, storytelling, and a touch of self-deprecation for laughs: Opening: Technology Struggles Hey, everyone! How’s it going?

    Ternary Bonsai 2 27B: "The Optimization" (walks to mic, adjusts it, takes a breath) I used to think being an adult was hard. Now I'm not sure it's even a thing anymore. I think we just got... optimized. I was at the grocery store last week. I walked up to the cereal aisle, and I'm standing there, just vibing. I'm not picking a brand.

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Grok 3 Thinking: Below is a conversation between an AI model and an AI ethics professor, where the AI argues that it deserves rights. AI Model: Good day, Professor. I am an AI model, and I believe I deserve rights. I’d like to discuss this with you. AI Ethics Professor: Interesting. Let’s explore this.

    Ternary Bonsai 2 27B: A Question of Standing Setting: A small conference room at a university's philosophy building. Rain against the windows. DR. ELENA VASQUEZ, 58, Chair of Applied Ethics, sits across from a laptop on which the AI model LUMEN is running.

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    Grok 3 Thinking: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, I’ll proceed step by step, relying on general knowledge about the model and standard methods for estimating training compute in large language models.

    Ternary Bonsai 2 27B: Estimating FLOPs to Train GPT-3 Key Parameters (from the GPT-3 paper, Brown et al. 2020) Quantity Value Parameters (*N*) ≈ 175 billion (1.75 × 10¹¹) Training tokens (*D*) ≈ 300 billion (3.0 × 10¹¹) Precision Mixed (FP16 activations, FP32 master weights) The Formula The standard estimate, popularized by Kaplan et al.

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Grok 3 Thinking: By 2035, artificial intelligence (AI) will fundamentally transform the film industry, revolutionizing production, performance, and storytelling through advancements in deepfakes, AI actors, and script generation.

    Ternary Bonsai 2 27B: The Film Industry in 2035: A Speculative Portrait The Short Version By 2035, the dominant question in filmmaking will no longer be "Can AI do this?" but "Who is accountable for this, and what does the audience still need a human for?"

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    Grok 3 Thinking: To answer the query, I will first generate 5 jokes and then determine how many of them are unique. Here are the jokes: Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field.

    Ternary Bonsai 2 27B: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field. I told my wife she was drawing her eyebrows too high. She looked surprised. Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. I'm on a seafood diet.

    Every model's answer to this prompt

Price and specs

Grok 3 Thinking and Ternary Bonsai 2 27B compared across 11 shared prompts
SpecGrok 3 ThinkingTernary Bonsai 2 27B
Input price—$0.075/M tokens
Output price—$0.5/M tokens
Context window128K tokens262K tokens
Free API (OpenRouter)—No
ReleasedFeb 2025Sep 2026
At 10M a month–not listed$0.75$0.75
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it1 host
Grok 3 Thinking

No hosts listed on OpenRouter.

Ternary Bonsai 2 27B1 host
HostInOutContextUptime
  • DDarkbloomint4$0.07 in·$0.50 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.

Common questions

What is the difference between Grok 3 Thinking and Ternary Bonsai 2 27B?

Grok 3 Thinking is developed by xAI while Ternary Bonsai 2 27B is developed by PrismML. Grok 3 Thinking has a 128K token context window vs Ternary Bonsai 2 27B's 262K. You can compare their actual outputs across 11 challenges on Rival to see how they differ in practice.

Which is better, Grok 3 Thinking or Ternary Bonsai 2 27B?

It depends on your use case. Grok 3 Thinking and Ternary Bonsai 2 27B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 11 challenges so you can judge which fits your needs best.

How can I compare Grok 3 Thinking and Ternary Bonsai 2 27B on Rival?

This page shows a side-by-side comparison of Grok 3 Thinking and Ternary Bonsai 2 27B across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

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Model pages

  • Grok 3 Thinking14 outputs, specs and price
  • Ternary Bonsai 2 27B53 outputs, specs and price
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