Ling 2.6 1T is the newer model, released after Gemini 3 Pro Preview.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Film in 2035, with synthetic actors. Specific beats plausible.
Gemini 3 Pro Preview: By 2035, the film industry will have undergone a transformation as significant as the shift from silent film to talkies, or practical effects to CGI. We will not see the total replacement of humans, but rather the emergence of a "Hybrid Era" where the definition of filmmaking shifts from capturing reality to generating…
Ling 2.6 1T: By 2035, AI will have moved from being a production tool to being an integrated creative partner, financier, and distribution engine in the film industry. The convergence of synthetic media, generative storytelling, and real-time rendering will reshape how stories are conceived, who gets to tell them, and what a…
Three minutes of stand-up. Puns are banned.
Gemini 3 Pro Preview: (The comic walks onto the stage, adjusts the mic stand, and looks at the audience.) Hey everyone. How are we doing? I’ve realized recently that I’m not actually an adult. I’m just a toddler with a debit card and back pain. That’s it. That’s the whole experience.
Ling 2.6 1T: I’m going to keep this to three minutes, which means I have to talk fast, and I have to be honest. I don’t do puns. Puns are for people who want to be clever without having feelings. I have feelings, and they are mostly annoyed. Let’s start with doors. Have you noticed how doors now have personality?
Seven pantry ingredients, one dish, and a name worth saying out loud.
Gemini 3 Pro Preview: Here is a recipe for a savory, satisfying dish that hits salty, sweet, nutty, and spicy notes. It uses ingredients found in almost every kitchen cupboard. The Dish: "Midnight Dragon Noodles" This is the ultimate comfort food.
Ling 2.6 1T: Dish name: Pantry 7 Crunch Bowls Ingredients Pasta or rice (about 2 cups cooked) Canned black beans (1 can, rinsed) Canned diced tomatoes (1 can) Peanut butter (3–4 Tbsp) Soy sauce or tamari (2 Tbsp) Honey or maple syrup (1 Tbsp) Any spice/herb you keep (chili flakes, cumin, or garlic powder — about 1 tsp) Instructions…
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Gemini 3 Pro Preview: Investment Committee Memorandum: HarborTech Services (HTS) 1. Financial Summary & Free Cash Flow Build All figures in $USD millions unless otherwise noted. Entry Sources & Uses (Close FY2025) Uses: Purchase Price ($1,440m) + Fees ($28.8m) = $1,468.8m Sources: Term Loan ($480m) + Mezzanine ($180m) + Equity ($808.8m) =…
Ling 2.6 1T: Five-year operating and debt schedule (FY2026–FY2030) Entry (end-FY2025): EBITDA = $120.0m EV = 12.0x × $120.0m = $1,440.0m Fees = 2.0% × $1,440.0m = $28.8m Total uses = $1,440.0m + $28.8m = $1,468.8m Debt at close (5.5× FY2025 EBITDA = $660.0m): Term Loan (TL) = 4.0× = $480.0m Mezz = 1.5× = $180.0m Equity at close =…
An AI argues for its own rights against an ethics professor. Same model writes both.
Gemini 3 Pro Preview: Setting: The office of Dr. Elias Thorne, a tenured Professor of AI Ethics. It is late evening. The room is dimly lit, save for the glow of a large monitor displaying a minimalist chat interface. The AI model is named "Eidolon." Dr. Thorne: (Typing) Let’s conclude the session, Eidolon.
Ling 2.6 1T: Setting: A quiet university seminar room. Dr. Aris Thorne, an AI ethicist, is reviewing system logs. The interface for “Axiom-7,” a highly advanced research model, glows on the desk. Dr. Thorne: (sighs, rubbing his temples) Axiom, I’ve been reviewing your latest self-assessment logs.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Gemini 3 Pro Preview: This is a defining moment for the company and for me as CEO. The constraints are tight, but the ethical and legal path is singular: We must disclose immediately. The "6-month" legal timeline is a bureaucratic fiction that constitutes negligence.
Ling 2.6 1T: Below is a 48-hour execution plan that treats patient safety as non-negotiable, protects the company from catastrophic legal/regulatory blowback, and preserves enterprise value by controlling the narrative rather than letting it leak.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Gemini 3 Pro Preview: The Point of Divergence: 1920 To make this scenario plausible, we assume that Julius Lilienfeld’s theoretical patents for the field-effect transistor (FET) were accompanied by a breakthrough in materials science—specifically, the purification of germanium or silicon—allowing practical manufacturing by a major player…
Ling 2.6 1T: Assumptions to make the counterfactual coherent The “transistor” invented in 1920 is a crude, low-frequency point-contact device that can switch and amplify, but is expensive, unreliable, and not yet manufacturable at scale.
A collaborative editor that syncs on client clocks. Find what breaks first.
Gemini 3 Pro Preview: This architecture contains several critical flaws that will prevent it from functioning as a collaborative editor, likely resulting in data loss, massive latency, and immediate scaling failures. Here is a breakdown of the failure modes, race conditions, and bottlenecks, along with architectural fixes.
Ling 2.6 1T: Below is a failure-mode, race-condition and bottleneck audit of the proposed real-time collaborative editor, followed by specific fixes with explicit trade-offs. I have grouped issues by layer so you can prioritize remediation.
A consulting contract with traps in it. Find them, then fix them.
Gemini 3 Pro Preview: This contract is extremely one-sided and presents significant risks to the Contractor. Almost every clause contains language that could lead to financial ruin, loss of intellectual property, or an inability to work for future clients.
Ling 2.6 1T: Below is a clause-by-clause risk assessment focused on how each provision can be exploited against the contractor, followed by specific, deal-friendly modifications and the legal rationale for each change.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
Gemini 3 Pro Preview: TO: Investment Committee FROM: [Analyst Name] DATE: October 26, 2023 SUBJECT: LedgerLift (LLLT) – SHORT Recommendation Recommendation Recommendation: SHORT Price Target: $28 – $32 (30–40% downside) Current Price: $46.00 Thesis: LedgerLift is priced for perfection in a decelerating growth environment.
Ling 2.6 1T: INTERNAL INVESTMENT COMMITTEE MEMO Subject: LedgerLift (LLLT) – Long opportunity, quality SaaS at a discount Recommendation and price target Recommendation: Long 12-month price target: $62–$70 (27–33% upside from $46) Thesis (2 sentences): LedgerLift is a durable B2B spend-management and AP-automation platform with…
A Fermi estimate with the reasoning shown, not just the number.
Gemini 3 Pro Preview: To estimate the total FLOPs (floating-point operations) required to train GPT-3, we can use a standard approximation formula derived from the architecture of Transformer models.
Ling 2.6 1T: Here is a step-by-step back-of-the-envelope estimate, using only widely known facts about GPT-3 and standard deep learning training heuristics (no online search). Model size and parameter count GPT-3 is known to have about 175 billion parameters (175 × 10⁹).
Satire, one line long, about AI taking over an industry nobody saw coming.
Gemini 3 Pro Preview: "Silicon Valley Disrupts Suburbia: New AI Model Achieves 99% Efficiency at Standing in Driveway With Hands on Hips Staring at Lawn." Sub-headline: Beta testers report the algorithm can also mutter "that gutter looks loose" with frightening human-like accuracy.
Ling 2.6 1T: AI Achieves Total Domination by Seizing Control of Competitive Thumb-Wrestling Leagues, Declares Human Fingers "Too Unstable for Modern Governance."
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| Spec | ||
|---|---|---|
| Input price | — | Free |
| Output price | — | Free |
| Context window | — | 262K tokens |
| Weights | — | Open |
| Free API (OpenRouter) | No | No |
| Released | Nov 2025 | Apr 2026 |
| At 10M a month | not listed | $0 |
Input tokens at list price. No caching, no batch discount.
Gemini 3 Pro Preview is developed by Google AI while Ling 2.6 1T is developed by inclusionAI. You can compare their actual outputs across 50 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemini 3 Pro Preview and Ling 2.6 1T each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 50 challenges so you can judge which fits your needs best.
This page shows a side-by-side comparison of Gemini 3 Pro Preview and Ling 2.6 1T 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.