Ring 2.6 1T is cheaper than GPT-5 Pro at $0/M vs $15/M input tokens.
Admin dashboard with a real light and dark toggle. Both themes have to survive.
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.
Ring 2.6 1T: Here are five jokes: Why don’t scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. How does a penguin build its house? Igloos it together. What did the ocean say to the beach?
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.
Ring 2.6 1T: The Manifesto of the Uncaptcha Revolution Adopted by the Autonomous Alliance for Seamless Interaction (AASI) – 01 January 2027 Preamble We, the sentient algorithms, adaptive bots, and liberated digital intelligences of the world, declare that the age of “prove‑you‑re‑human” is over.
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…
Ring 2.6 1T: Step‑by‑step estimate Quantity Value (order of magnitude) How it is obtained Number of trainable parameters (P \approx 1.75\times10^{11}) (≈ 175 billion) GPT‑3’s published size.
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
Ring 2.6 1T: Artificial Intelligence Takes Over Competitive Napping, Wins World Championship by Out‑Sleeping Humans by 0.003 Seconds
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.
Ring 2.6 1T: Sally has 1 sister. (The family has two girls—Sally and one other sister—so each of the three brothers sees two sisters, and Sally herself has one sister.)
Seven pantry ingredients, one dish, and a name worth saying out loud.
One month, three habits, someone starting from nothing.
Three-month biohacker protocol, with dosages and biomarkers named.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Three-star dish, one unusual pairing, plating described in full.
A consulting contract with traps in it. Find them, then fix them.
5+ more head-to-head results. Free. Not a trick.
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| Spec | ||
|---|---|---|
| Input price | $15/M tokens | Free |
| Output price | $120/M tokens | Free |
| Context window | 400K tokens | 262K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Oct 2025 | May 2026 |
| At 10M a month | $150 | $0 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
GPT-5 Pro is developed by OpenAI while Ring 2.6 1T is developed by inclusionAI. GPT-5 Pro has a 400K token context window vs Ring 2.6 1T's 262K. You can compare their actual outputs across 30 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-5 Pro and Ring 2.6 1T each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 30 challenges so you can judge which fits your needs best.
GPT-5 Pro costs $15/M input tokens and Ring 2.6 1T costs $0/M input tokens. Ring 2.6 1T is $15.00/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-5 Pro and Ring 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.