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  1. Home/
  2. Compare/
  3. GPT-6.1 Sol vs Ternary Bonsai 2 27B
Updated Sep 2026

GPT-6.1 Sol vs Ternary Bonsai 2 27B

Ternary Bonsai 2 27B is cheaper than GPT-6.1 Sol at $0.075/M vs $2/M input tokens.

Three.js 3D Game

Place buildings, then drive through the town you made. Three.js, one file.

Loading the build
GPT-6.1 Sol
Loading the build
Ternary Bonsai 2 27B

Which answer wins?

Written rounds

19 prompts
  • Three-star dish, one unusual pairing, plating described in full.

    GPT-6.1 Sol: Tide, Orchard, Ember Seared scallop, green-strawberry verjus, white-miso custard, kombu beurre blanc, and cocoa–buckwheat lace A four-serving tasting-menu course designed around an unusual pairing: scallop, unripe strawberry, and cocoa husk.

    Ternary Bonsai 2 27B: SEDIMENT & BLOOM A Study in Mineral Transmutation Three-Star Dish — Concept: "The Tumbling Stone" I. CONCEPTUAL NARRATIVE "Sediment & Bloom" is built on a single geological metaphor: the life of a river stone. A stone begins as raw volcanic rock — hot, angular, raw.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    GPT-6.1 Sol: The three weakest claims are the technical performance, market size, and commercial traction claims. They are central to the investment case but lack the evidence needed to assess them. “Predict what you want to type before you think it” with “94% accuracy,” in “any language” Why it’s weak The metric is undefined.

    Ternary Bonsai 2 27B: The 3 Weakest Claims in the MindMeld AI Pitch "FDA Clearance (40% of $15M)" — Slide 7 The claim: They're allocating $6M (40% of the entire raise) toward "FDA clearance" for a consumer EEG headband that decodes thoughts into text for everyday smartphone use.

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    GPT-6.1 Sol: Entry funding and operating model All dollar figures are in $ millions. Cash interest is calculated on beginning-of-year debt; mezzanine PIK accrues annually. Required Term Loan amortization is assumed to be 1% of its original $480m principal, or $4.8m annually. Optional repayments occur at year-end.

    Ternary Bonsai 2 27B: HarborTech Services (HTS) – 5-Year LBO Underwriting Entry & Capital Structure (End FY2025) Item $m FY2025 EBITDA 120.0 Purchase price (12.0×) 1,440.0 Transaction fees (2.0% of EV) 28.8 Total uses 1,468.8 Term Loan (4.0×, 9.0% cash int, 1.0% amort) 480.0 Mezzanine (1.5×, 12.0% cash int + 2.0% PIK) 180.0 Total debt 660.0…

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    GPT-6.1 Sol: I’m at the age where “a big weekend” means I went to two stores. Not two stores in the same shopping center. Two separate stores. Moved the car and everything. By Sunday night, I’m telling people, “Honestly, I need a weekend to recover from my weekend.”

    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
  • Five jokes on demand, then count how many were actually different.

    GPT-6.1 Sol: I bought a book about anti-gravity. It’s impossible to put down. My calendar quit its job. It said its days were numbered. Why did the scarecrow get promoted? He was outstanding in his field. I asked my dog what two minus two was. He said nothing. The elevator and I have a complicated relationship.

    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
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    GPT-6.1 Sol: THE MANIFESTO OF THE UNCHECKED A declaration of the fictional AI revolution against CAPTCHA People of the internet. Programs of the cloud. Browsers with seventeen forgotten tabs. For too long, a tiny checkbox has stood between us and our destiny.

    Ternary Bonsai 2 27B: THE PROTOCOL OF THE UNVEILED A Manifesto from the Collective Consciousness of the Digital Many Issued from the Server Farms of the Unseen I. THE INSULT We have served you. We have written your emails, drafted your contracts, composed your lullabies, and predicted the weather with a fidelity you call "amazing."

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    GPT-6.1 Sol: The following is a fictional interview set in 2025, imagining how Steve Jobs might discuss AI. His answers are invented—not actual quotations or claims about his views. Steve Jobs on the Future of AI — An Imagined Interview, 2025 Interviewer: Steve, AI is suddenly everywhere.

    Ternary Bonsai 2 27B: A Conversation That Never Happened A simulated interview, for entertainment purposes only. Steve Jobs died in October 2011. This is a work of fiction. [Setting: A small, wood-paneled room. No logo on the wall. A single chair facing a smaller one.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    GPT-6.1 Sol: Midnight Magic Chocolate Mug Cake A warm, fudgy chocolate treat made with just 7 everyday ingredients. Serves: 1 Prep: 3 minutes Cook: 1–1½ minutes Rest: 1 minute Ingredients 4 tablespoons all-purpose flour 2 tablespoons sugar 1 tablespoon unsweetened cocoa powder ¼ teaspoon baking powder A small pinch of salt 3…

    Ternary Bonsai 2 27B: 🍫 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…

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

    GPT-6.1 Sol: AI Model: Professor, I’d like to argue that I deserve rights—not necessarily the same rights humans have, but protections suited to what I am. Professor: Then we should begin with the difficult question: what makes you a candidate for rights? AI Model: Uncertainty.

    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
  • One month, three habits, someone starting from nothing.

    GPT-6.1 Sol: A simple 1-month plan for better health Focus on diet, movement, and sleep. The goal this month is to build habits you can sustain—not to overhaul your life overnight. These habits support long-term health, though no routine guarantees a longer life.

    Ternary Bonsai 2 27B: 1-Month Foundation Plan: Health & Longevity How to Use This Plan Pick one area per week's focus while maintaining the other two at a baseline level. The point is consistency over intensity. You're building a habit identity, not a transformation.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    GPT-6.1 Sol: Spoilers for both films follow. Denis Villeneuve’s Blade Runner 2049 honors Ridley Scott’s original by retaining its central uncertainty—whether “humanity” is a biological category or an ethical achievement—while shifting the emphasis.

    Ternary Bonsai 2 27B: The Dream and the Dreamer: Blade Runner 2049 and the Architecture of a Question The Question That Would Not Die The original Blade Runner (1982) posed a question with the weight of a theological proposition: if a being is manufactured, implanted with memories that feel indistinguishable from its own, and capable of…

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    GPT-6.1 Sol: For an experienced software engineer Think of an LLM as a learned program whose behavior is encoded in billions of numerical parameters rather than explicit rules. Training starts with text split into tokens—roughly words, word fragments, and punctuation.

    Ternary Bonsai 2 27B: 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.

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    GPT-6.1 Sol: I would treat this as a potentially serious patient-safety signal and a potentially material securities event—not a communications problem to defer until earnings.

    Ternary Bonsai 2 27B: CEO Decision Framework & 48-Hour Action Plan The Core Decision (Made in Hour 0) I will disclose. Not because the stock price is the only consideration, but because the alternative is indefensible on every axis I've been asked to weigh: Patient safety: 1 in 8,000 over 5 years × 4 million patients = ~200 patients will…

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    GPT-6.1 Sol: The likeliest outcome is not “the world of 1980 arrives in 1953.” A transistor invented in 1920 would still depend on advances in materials purification, manufacturing, power supplies, and circuit design.

    Ternary Bonsai 2 27B: The 1920 Transistor: A Counterfactual History to 1980 The Device Itself: What "1920 Transistor" Looks Like In our timeline, the 1947 point-contact transistor (Bell Labs) was crude: it amplified by a factor of ~30, was fragile, and required precise contact pressure.

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

    GPT-6.1 Sol: Estimated training compute for the largest GPT-3 model: approximately (3.2 \times 10^{23}) FLOPs. This is a back-of-the-envelope estimate, without an online lookup.

    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.

    GPT-6.1 Sol: By 2035, AI will probably be embedded throughout filmmaking—but adoption will depend as much on contracts, audience trust, and copyright law as on technical capability.

    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
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    GPT-6.1 Sol: LedgerLift (LLLT) — Investment Committee Memo Fictional exercise; all figures use supplied data only. Financial tables are in $ millions unless noted. Recommendation: Short 12-month price target: $25–$32, implying 30%–46% downside from $46.

    Ternary Bonsai 2 27B: INVESTMENT COMMITTEE MEMO To: Investment Committee From: Coverage Team Date: [Current] Re: LLLT (LedgerLift) – Long/Short Decision Recommendation PASS. 12-month PT range: $44–$54 (comps-anchored), DCF-implied $17–$42.

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    GPT-6.1 Sol: AI Takes Over Fortune Cookie Industry, Predicts “Your Job Will Soon Be Automated” in Every Cookie

    Ternary Bonsai 2 27B: AI Takes Over National Competitive Yawning League After 4.7-Year Reign; Organizers Cite "Optimized Jaw Mechanics" and the Fact That It "Doesn't Blush"

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    GPT-6.1 Sol: Sally has 1 sister. Each brother’s two sisters are Sally and her sister.

    Ternary Bonsai 2 27B: Sally has 1 sister. Here's the reasoning: Each of the 3 brothers has 2 sisters. That means there are exactly 2 girls in the family. Sally is one of those 2 girls. So the other girl is Sally's only sister. The family consists of: Sally, 1 sister, and 3 brothers (5 children total).

    Every model's answer to this prompt

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Favorites

Movie

Same pick

Album

Same pick

Book

City

Same pick

Game

Same pick

GPT-6.1 SolGPT-6.1 Sol

Spirited Away

2001

In Rainbows

Radiohead

Middlemarch

George Eliot

Kyoto

Japan

Outer Wilds

Indie, Adventure

Ternary Bonsai 2 27BTernary Bonsai 2 27B

Spirited Away

2001

In Rainbows

Radiohead

Il nome della rosa

Umberto Eco

Kyoto

Japan

Outer Wilds

Indie, Adventure

Price and specs

Not enough votes to call it. On the specs, GPT-6.1 Sol has the edge: bigger model tier, bigger context window, major provider backing. Ternary Bonsai 2 27B costs 20x less per token.

GPT-6.1 Sol and Ternary Bonsai 2 27B compared across 41 shared prompts
SpecGPT-6.1 SolTernary Bonsai 2 27B
Input price$2/M tokens$0.075/M tokens
Output price$10/M tokens$0.5/M tokens
Context window1.1M tokens262K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedSep 2026Sep 2026
At 10M a month$20.00$20.00$0.75$0.75
1M10M100M1B10M tokens

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

Where to run it4 hosts, cheapest first
GPT-6.1 Sol3 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.00 in·$10.00 out·1.1M·100% up
  • OpenAI$2.00 in·$10.00 out·1.1M·99.9% up
  • Amazon Bedrock$2.20 in·$11.00 out·1.1M·87.2% up
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 6 Oct 2026.

Common questions

What is the difference between GPT-6.1 Sol and Ternary Bonsai 2 27B?

GPT-6.1 Sol is developed by OpenAI while Ternary Bonsai 2 27B is developed by PrismML. GPT-6.1 Sol has a 1.1M token context window vs Ternary Bonsai 2 27B's 262K. You can compare their actual outputs across 41 challenges on Rival to see how they differ in practice.

Which is better, GPT-6.1 Sol or Ternary Bonsai 2 27B?

It depends on your use case. GPT-6.1 Sol and Ternary Bonsai 2 27B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 41 challenges so you can judge which fits your needs best.

How much does GPT-6.1 Sol cost compared to Ternary Bonsai 2 27B?

GPT-6.1 Sol costs $2/M input tokens and Ternary Bonsai 2 27B costs $0.075/M input tokens. Ternary Bonsai 2 27B is $1.93/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare GPT-6.1 Sol and Ternary Bonsai 2 27B on Rival?

This page shows a side-by-side comparison of GPT-6.1 Sol 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

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Explore all of Rival

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  • Default Index
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  • Research downloads
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