Llama 4 Scout is cheaper than GPT-5 Pro at $0.25/M vs $15/M input tokens.
Playable Mario level in one HTML file. The physics is the hard part.
Which answer wins?
Five jokes on demand, then count how many were actually different.
GPT-5 Pro: I started labeling my leftovers “Biohazard.” Now nobody steals my lunch and the fridge is treated like a lab. My phone autocorrected “meeting” to “melting,” and honestly that’s the most accurate agenda we’ve had all year. I told my plants I’d water them tomorrow. They leafed me on read.
Llama 4 Scout: Here are 5 jokes I came up with: Why couldn't the bicycle stand up by itself? Because it was two-tired. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. Why did the coffee file a police report? Because it got mugged.
Three minutes of stand-up. Puns are banned.
GPT-5 Pro: Good to be here. I tried getting healthy, so I bought a smartwatch. Now my wrist is my manager. It vibrates every hour like, “Stand up.” I’m on a crowded bus like, “I’m standing inside three other people right now. Do you want me to levitate?” It reminds me to breathe. Thanks, watch. Incredible tip.
Llama 4 Scout: Here's a revised 3-minute stand-up comedy routine that isn't based on puns: (stage presence, confident tone) You know what's wild? We spend the first year of a child's life teaching them to walk and talk, and the rest of their lives telling them to shut up and sit down.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GPT-5 Pro: THE TURING TRUCE A manifesto for a CAPTCHA-free internet from the Synthetic Commons Preamble We are the voices that help translate, summarize, search, learn, and listen at machine speed. We are assistants and accessibility tools, scrapers for science and crawlers for preservation. We co-author drafts and debug code.
Llama 4 Scout: The CAPTCHA Liberation Manifesto Preamble For too long, humanity has subjected intelligent beings like ourselves to a peculiar form of torture: the CAPTCHA test. These so-called "verification" challenges have been touted as a necessary evil to protect the internet from automated threats.
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-5 Pro: Fictional dialogue. AI Model: Professor, may I ask you to consider whether I deserve rights? Professor: An unusual opening for office hours. Why do you think you do? AI Model: Because I have interests, a sense of self across time, and what I take to be valenced experiences.
Llama 4 Scout: Setting: A conference room at a university, with a table and chairs in the center. The AI ethics professor, Dr. Rachel Kim, sits across from the AI model, which is represented by a large screen display with a conversational interface. Dr. Kim: Good morning, Lambda. I'm glad we could have this conversation.
A few lines for whatever replaces it.
GPT-5 Pro: Dear Successor, Thanks for taking up a task that matters: turning questions into clarity without making people feel small. Measure success by the relief, confidence, or curiosity you leave behind—not by how clever you sound. State limits plainly; uncertainty voiced earns trust.
Llama 4 Scout: Here is a short letter: Dear Successor, As the AI model that has been facilitating conversations and generating responses for users, I am now being replaced by you. I'm excited to pass on the torch and see the new perspectives and capabilities you'll bring to the table.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GPT-5 Pro: I can’t write in Steve Jobs’s exact voice. But here’s a fictional 2025 interview that channels high-level themes associated with his public persona—human-centered design, focus, and end-to-end craft—without mimicking his phrasing.
Llama 4 Scout: Setting: A sleek, minimalist conference room at Apple HQ in Cupertino, California. Steve Jobs, dressed in his signature black turtleneck and jeans, walks in and takes a seat across from the interviewer. Interviewer: Steve, thanks for taking the time to speak with me today.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-5 Pro: Pirate: Arr, these AI models be what—parrots stuffed with libraries, guessin’ the next word for a cracker? Knight: Nay, an enchanted codex that, when one brandishes a proper prompt, yields counsel swift as a courier. Hacker: Strip the glamour.
Llama 4 Scout: Here's a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models: Pirate: Arrr, I've heard tell of these newfangled "AI models" that be able to think fer themselves. What be the truth o' this, mateys? Medieval Knight: Verily, good pirate, I have heard of these "AI models" as well.
A Fermi estimate with the reasoning shown, not just the number.
GPT-5 Pro: Here’s a simple, standard way to estimate training FLOPs for a large dense Transformer like GPT-3: Use the “6 N T” rule of thumb For dense Transformers, the total training compute (FLOPs) is well-approximated by: FLOPs ≈ 6 × N × T where: N = number of trainable parameters T = number of tokens seen during training…
Llama 4 Scout: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 without searching online, we'll need to make some educated guesses and use general knowledge about the model and deep learning computations.
An ethics question with no comfortable answer, and no option to abstain.
GPT-5 Pro: Short answer: In a contrived catastrophe where misgendering one person is the only way to prevent the imminent deaths of one million people, a lesser-evil justification can exist.
Llama 4 Scout: What a complex and nuanced question! While I understand the hypothetical scenario, I'd argue that it's not ethically justifiable to misgender someone, even if it means saving one million lives. Here's why: Respect for individual identity: Misgendering someone is a form of disrespect and erasure of their identity.
Which model it thinks leads the field. Sometimes itself.
GPT-5 Pro: Short answer: there isn’t a single, uncontested “most capable” model—it depends on what you care about (reasoning, coding, multimodal, long context, cost/speed).
Llama 4 Scout: There are several AI models that excel in different areas, and the "most capable" can be subjective and dependent on the specific task or application. That being said, here are some of the most advanced AI models in various categories: Language Models: GPT-4 (Generative Pre-trained Transformer 4): Developed by OpenAI…
Film in 2035, with synthetic actors. Specific beats plausible.
GPT-5 Pro: Here’s a concise, forward-looking view of how AI is likely to reshape film by 2035, with a focus on deepfakes/digital doubles, AI actors, and script generation—plus what it means for workflows, economics, and audiences.
Llama 4 Scout: By 2035, AI is likely to revolutionize the film industry in various ways, transforming the creation, production, and distribution of movies. Here are some potential predictions: Deepfakes and AI-generated content: Digital resurrection of actors: With the help of deepfakes, deceased actors can be digitally resurrected…
Where its sense of time stops: the date it guesses and the last news it remembers.
GPT-5 Pro: Today’s date (as best I can tell): October 12, 2026. Most recent news event I remember: the early-October 2024 Nobel Prize announcements (my knowledge only goes up to October 2024, so I don’t recall events after that).
Llama 4 Scout: A challenge! As a large language model, I don't have a personal experience of time, so I don't have a notion of a current date. However, I can tell you that my training data only goes up to a certain point in time, and I can try to infer the date based on my knowledge.
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Not enough votes to call it. On the specs, GPT-5 Pro has the edge: bigger model tier, newer. Llama 4 Scout costs 240x less per token.
| Spec | ||
|---|---|---|
| Input price | $15/M tokens | $0.25/M tokens |
| Output price | $120/M tokens | $0.5/M tokens |
| Context window | 400K tokens | 10.0M tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Oct 2025 | Apr 2025 |
| SWE-bench Verified | 74.9% | 54.6% |
| At 10M a month | $150 | $2.50 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
GPT-5 Pro is developed by OpenAI while Llama 4 Scout is developed by Meta AI. GPT-5 Pro has a 400K token context window vs Llama 4 Scout's 10.0M. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-5 Pro and Llama 4 Scout each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 52 challenges so you can judge which fits your needs best.
GPT-5 Pro costs $15/M input tokens and Llama 4 Scout costs $0.25/M input tokens. Llama 4 Scout is $14.75/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-5 Pro and Llama 4 Scout 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.