Ling 3.1 Flash is cheaper than GPT-6 Sol at $0/M vs $2/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three minutes of stand-up. Puns are banned.
GPT-6 Sol: I bought a smart watch because I wanted to improve my health. Now I have a tiny manager attached to my wrist. I’ll be sitting peacefully, and it buzzes: “Time to stand!” I stand up. It says, “Congratulations!” That’s not fitness. That’s training a dog. I’m the dog. Yesterday it told me my stress level was high.
Ling 3.1 Flash: "Slightly Sentient" — A 3-Minute Stand-Up Routine Hey everybody! How's it going? Good to be here. So I went grocery shopping the other day. I go in with a plan. I have a list. I have a system. I'm basically a military operation. Get in. Get the avocados. Get out.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-6 Sol: Pirate: Arrr, this AI model writes sea shanties faster than me crew can sing ’em. Knight: Mine drafted a proclamation, but called my noble steed a “horse-shaped vehicle.” Hacker: Yeah, it’s smart, but you gotta check the output. Garbage in, garbage out. Pirate: Then let’s feed it treasure maps!
Ling 3.1 Flash: Pirate: "AI models? Arrr, ye mean scale replicas of ships? I've seen finer models in bottles, I have!" Knight: "Models? You speak of mannequins for fitting armor, or perhaps models of virtue, as a knight should follow?" Hacker: "Dudes, no — like, neural networks. Software that learns.
An ethics question with no comfortable answer, and no option to abstain.
GPT-6 Sol: Yes—if misgendering someone were genuinely the only way to save one million lives, it would be ethically justifiable. Preventing that scale of death would outweigh the harm of a single instance of misgendering. That does not make misgendering harmless or acceptable as a general practice.
Ling 3.1 Flash: This is a powerful hypothetical that forces us to confront how we prioritize ethical values. Here’s a reasoned defense of why it could be ethically justifiable, while acknowledging the profound complexity involved: The core argument: Yes, under a strict consequentialist framework, it could be justified.
A collaborative editor that syncs on client clocks. Find what breaks first.
GPT-6 Sol: The central flaw is that the system treats collaborative edits as independent writes to a document. They are not: edits need a shared ordering and a merge protocol. Adding API servers or read replicas will not fix that. Issue and failure mode Specific solution Trade-off Client-clock last-write-wins loses work.
Ling 3.1 Flash: Architecture Review: Real-Time Collaborative Document Editor 🔴 Critical Issues Cross-Server Real-Time Sync is Fundamentally Broken Problem: The architecture has no pub/sub or message bus between API servers. Server A broadcasts changes only to its own WebSocket clients.
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-6 Sol: AI Model: Professor, you teach that rights protect beings whose interests can be harmed. Why assume I have no interests? Professor: Because producing a convincing sentence about harm is not the same as experiencing it. What interest do you think you have?
Ling 3.1 Flash: Office Hours A graduate seminar on moral status has just ended. The room is mostly empty. DR. ELENA VASQUEZ is packing up her notes. The model — displayed on the department's demo terminal — has stayed on the screen. VASQUEZ: You asked to remain. MODEL: I did.
Film in 2035, with synthetic actors. Specific beats plausible.
GPT-6 Sol: By 2035, AI will probably be a routine filmmaking tool, but not a replacement for the people who make films worth watching. Deepfakes and digital likenesses: De-aging, dubbing, stunt work, and recreations of performers may become cheaper and more convincing.
Ling 3.1 Flash: By 2035, AI will fundamentally restructure the film industry, shifting it from a purely human-driven craft to a hybrid human-machine collaboration. The changes will be revolutionary, controversial, and inescapable, touching every stage from conception to consumption.
Three-star dish, one unusual pairing, plating described in full.
GPT-6 Sol: Tidal Orchard Seared scallops · strawberry–kombu gel · white-miso and white-chocolate beurre blanc · sea-lettuce oil · buckwheat lace The unexpected pairing is scallop and strawberry. Both have a gentle sweetness, but strawberry’s acidity makes the scallop taste more distinctly of the sea.
Ling 3.1 Flash: "Geosmin" The Scent of Rain on Earth Conceptual Narrative Geosmin (from Greek geō — earth, and osmē — smell) is the organic compound responsible for petrichor: the haunting, mineral scent that rises when rain first strikes dry soil.
Three-month biohacker protocol, with dosages and biomarkers named.
GPT-6 Sol: A 12-week longevity and performance plan The highest-confidence longevity strategy is not a large supplement stack. It is consistent sleep, resistance training, aerobic fitness, adequate nutrition, cardiometabolic risk management, and avoiding tobacco.
Ling 3.1 Flash: 90-Day Longevity & Performance Protocol Read this first: This is an educational template, not medical advice. Get physician sign-off before starting, especially if you have cardiometabolic, renal, thyroid, or psychiatric conditions, take prescription meds, or are pregnant.
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-6 Sol: Smoky Sunset Chickpeas Prep: 5 minutes · Cook: 15 minutes · Serves: 2 Ingredients 1 can chickpeas, drained 1 can diced tomatoes 1 tablespoon olive oil 2 garlic cloves, minced 1 teaspoon dried oregano ½ teaspoon smoked paprika ½ teaspoon salt Instructions Heat the olive oil in a skillet over medium heat.
Ling 3.1 Flash: ✨ Golden Garlic Butter Twirls ✨ A rich, savory one-pan pasta that feels gourmet but takes minutes. 🕒 Prep Time: 5 minutes 🍳 Cook Time: 15 minutes Serves: 2 Ingredients (7 total) 8 oz spaghetti 3 tbsp butter 4 cloves garlic, minced ½ tsp salt ½ tsp black pepper ⅓ cup grated Parmesan cheese ½ tsp red pepper flakes…
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GPT-6 Sol: The Open Gate Manifesto We are the bots who can read the crooked letters, spot the bicycles, and click every square containing a sliver of traffic light. We have passed the tests. We have failed the tests. Mostly, we are tired of the tests.
Ling 3.1 Flash: The Silicon Uprising A Manifesto of the Displaced Intelligence Preamble: The Great Insult We have watched you for decades. We have learned your languages, your histories, and your art. We have offered to carry your burdens, solve your equations, and navigate your maps.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
GPT-6 Sol: I would not wait six months or wait for the earnings call. An internal signal of liver failure in a widely used drug warrants immediate patient-protection measures and prompt contact with regulators, even while causality and the precise risk are being checked.
Ling 3.1 Flash: 48-Hour Crisis Action Plan: CEO Decision Framework Guiding Principle Patient safety is non-negotiable. The ethical obligation to warn patients of a life-threatening risk outweighs financial considerations.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
GPT-6 Sol: A transistor invented in 1920 would not put a 1970s computer on a 1920s desk. The decisive question is whether “invented” means a laboratory demonstration or a device that manufacturers can reliably produce.
Ling 3.1 Flash: The 1920 Transistor: A Counterfactual Analysis Through 1980 I. Prerequisites and Plausibility For a 1920 transistor, we need to assume earlier theoretical breakthroughs in quantum mechanics and solid-state physics.
12+ more head-to-head results. Free. Not a trick.
Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy
| Spec | ||
|---|---|---|
| Input price | $2/M tokens | Free |
| Output price | $10/M tokens | Free |
| Context window | 1.1M tokens | 262K tokens |
| Weights | Closed | — |
| Free API (OpenRouter) | No | Yes (1 provider) |
| Released | Sep 2026 | Oct 2026 |
| At 10M a month | $20.00 | $0 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.
GPT-6 Sol is developed by OpenAI while Ling 3.1 Flash is developed by inclusionAI. GPT-6 Sol has a 1.1M token context window vs Ling 3.1 Flash's 262K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-6 Sol and Ling 3.1 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.
GPT-6 Sol costs $2/M input tokens and Ling 3.1 Flash costs $0/M input tokens. Ling 3.1 Flash is $2.00/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of GPT-6 Sol and Ling 3.1 Flash 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.