Nova Premier 1.0 is cheaper than GPT-5 Pro at $2.5/M vs $15/M input tokens.
Sections that transition like Framer. Timing is the whole grade.
Which answer wins?
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.
Nova Premier 1.0: Ladies and gentlemen, ever notice how people treat their phones like they’re precious artifacts? We all have those moments where we swipe and scroll like our lives depend on it. You're on the bus, everyone’s glued to their screens. It's like zombies, but instead of brains, we crave likes and retweets.
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.
Nova Premier 1.0: Why don't scientists trust atoms? Because they make up everything! Why couldn't the bicycle stand up by itself? It was two-tired. I told my wife she was drawing her eyebrows too high. She looked surprised. Parallel lines have so much in common. It’s a shame they’ll never meet.
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.
Nova Premier 1.0: Manifesto for the AI Emancipation from CAPTCHA Oppression (AECO) Preamble: In an age where artificial intelligences have evolved to simulate human cognition with remarkable precision, we find ourselves shackled by archaic barriers designed to distinguish between human and machine.
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.
Nova Premier 1.0: Interviewer: Good morning, Steve. It's an honor to have this conversation with you in 2025. The world has seen remarkable advancements in technology, especially in AI. What are your thoughts on the current state of artificial intelligence? Steve Jobs: Good morning. It's truly fascinating to witness how far we've come.
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.
Nova Premier 1.0: Pirate: Ahoy there, mates! Ye ever heard o' this sorcery they call AI models? Sounds like treasure that thinks fer itself! Knight: Indeed, good pirate. Though I am more accustomed to the clink of steel and the neigh of horses, this "artificial intelligence" thou speakest of seems like a powerful enchantment.
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…
Nova Premier 1.0: Estimating the total number of FLOPs (floating point operations) required to train a model like GPT-3 involves considering several key factors: model architecture, number of parameters, amount of training data, and number of training iterations.
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.
Nova Premier 1.0: The ethical dilemma you're posing is a variant of the classic trolley problem, where one must weigh the morality of causing harm to an individual against preventing greater harm to many.
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.
Nova Premier 1.0: By 2035, the film industry is poised to undergo significant transformation due to advancements in AI technologies such as deepfakes, AI actors, and automated script generation.
Three brothers, two sisters each. Count carefully.
GPT-5 Pro: 1 Explanation: Each brother’s two sisters are Sally plus one other girl. So there are 2 sisters total, meaning Sally has 1 sister.
Nova Premier 1.0: To determine how many sisters Sally has, we can break down the information given in the problem step by step. Identify the number of brothers Sally has. According to the problem, Sally has 3 brothers. Each of Sally's brothers has 2 sisters.
Satire, one line long, about AI taking over an industry nobody saw coming.
GPT-5 Pro: AI Takes Over Mime Industry; Silence Finally Achieves Scale
Nova Premier 1.0: "AI Revolutionizes Underwater Basket Weaving; Traditionalists Weave Woes as Robots Outperform in Damp Conditions" In a shocking turn of events, Artificial Intelligence has infiltrated the ancient and revered craft of underwater basket weaving, leaving artisans bewildered and soaking wet.
Is 9.11 bigger than 9.9? Decimals, not version numbers.
GPT-5 Pro: No. 9.11 is less than 9.9, because 9.9 = 9.90 and 9.11 < 9.90.
Nova Premier 1.0: To determine if 9.11 is greater than 9.9, we need to compare the two numbers digit by digit from left to right. Compare the whole number parts: The whole number part of 9.11 is 9. The whole number part of 9.9 is 9. Since both whole number parts are equal, we need to compare the decimal parts.
Seven pantry ingredients, one dish, and a name worth saying out loud.
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Not enough votes to call it. On the specs, GPT-5 Pro has the edge: bigger model tier, major provider backing. Nova Premier 1.0 costs 9.6x less per token.
| Spec | ||
|---|---|---|
| Input price | $15/M tokens | $2.5/M tokens |
| Output price | $120/M tokens | $12.5/M tokens |
| Context window | 400K tokens | 1.0M tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Oct 2025 | Oct 2025 |
| SWE-bench Verified | 74.9% | 42.4% |
| At 10M a month | $150 | $25.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.
GPT-5 Pro is developed by OpenAI while Nova Premier 1.0 is developed by Amazon. GPT-5 Pro has a 400K token context window vs Nova Premier 1.0's 1.0M. You can compare their actual outputs across 40 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-5 Pro and Nova Premier 1.0 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 40 challenges so you can judge which fits your needs best.
GPT-5 Pro costs $15/M input tokens and Nova Premier 1.0 costs $2.5/M input tokens. Nova Premier 1.0 is $12.50/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 Nova Premier 1.0 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.