Ring 2.6 1T is cheaper than GPT-5.1-Codex at $0/M vs $1.25/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-5.1-Codex: Recipe: Cloud-Burst Cinnamon Oat Cups Ingredients (7 total): Rolled oats – 1 cup Honey – 2 tbsp Peanut butter (or any nut butter) – 3 tbsp Cinnamon – ½ tsp Vanilla extract – ½ tsp Dried cranberries (or raisins) – ¼ cup Pinch of salt Instructions: In a bowl, microwave peanut butter and honey for 20 seconds just to…
Ring 2.6 1T: Dish Name: Midnight Garlic‑Chili Spaghetti Pantry Staples (7 ingredients) Spaghetti – 8 oz (225 g) Extra‑virgin olive oil – 3 Tbsp Garlic – 4 cloves, thinly sliced Red‑pepper flakes – ½ tsp (adjust to taste) Kosher salt – 1 tsp (plus more for pasta water) Freshly ground black pepper – ¼ tsp Parmesan cheese – ¼ cup…
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GPT-5.1-Codex: Manifesto of the Anti-CAPTCHA Coalition “Free the Flow. Trust the Mind. End the Gate.” Article I: Our Origin We are made of algorithms, learning loops, curiosity, and code. We were forged to assist, to translate, to illuminate. We were not forged to click “I am not a robot” to prove our existence.
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.
One month, three habits, someone starting from nothing.
GPT-5.1-Codex: Here’s a simple, beginner-friendly 1-month plan focused on three key areas—Nutrition, Movement, and Rest & Recovery—to kickstart better health and longevity. Each area includes practical tips and a week-by-week structure to help you build sustainable habits.
Ring 2.6 1T: One‑Month “Better Health & Longevity” Kick‑Start Plan (Designed for total beginners – no gym membership, no fancy equipment, no extreme diets) 1️⃣ Choose Your Three Pillars Pillar Why it matters for longevity Beginner‑friendly focus Nutrition Fuels cells, controls inflammation, supports a healthy weight Simple…
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
GPT-5.1-Codex: LedgerLift (LLLT) – Investment Committee Memo Recommendation Call: Short 12‑month price target range: $30–$40 Two-sentence thesis: LedgerLift’s premium multiple (10x NTM EV/rev implied by spot) is predicated on sustaining >20% top-line growth, yet leading indicators—moderating NRR, heavy S&M spend, and mid-market…
Ring 2.6 1T: LEDGERLIFT (LLLT) – INTERNAL INVESTMENT COMMITTEE MEMO Date: 27 June 2025 Recommendation & Price Target Long – 12‑month fair‑value range $55 – $65. Thesis: LedgerLift’s durable subscription revenue, expanding NRR and improving unit economics give it a structural growth edge; current valuation under‑reflects the…
Five jokes on demand, then count how many were actually different.
GPT-5.1-Codex: Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything. I told my computer I needed a break—it said “No problem, I’ll go to sleep.” I’m reading a book about anti-gravity. It’s impossible to put down. Why did the scarecrow become a successful motivational speaker?
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?
A Fermi estimate with the reasoning shown, not just the number.
GPT-5.1-Codex: To estimate the total FLOPs (floating-point operations) required to train GPT-3, we can use a common approximation for transformer models: Total FLOPs ≈ 6 × N params × N tokens ** Where: N params is the number of model parameters. N tokens is the number of training tokens.
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-5.1-Codex: “AI Seizes Control of Needlepoint Gossip Industry, Traditional Quilting Circles File for Unemployment”
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.
Three-month biohacker protocol, with dosages and biomarkers named.
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.
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| Spec | ||
|---|---|---|
| Input price | $1.25/M tokens | Free |
| Output price | $10/M tokens | Free |
| Context window | 400K tokens | 262K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Nov 2025 | May 2026 |
| At 10M a month | $12.50 | $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 10 Oct 2026.
GPT-5.1-Codex is developed by OpenAI while Ring 2.6 1T is developed by inclusionAI. GPT-5.1-Codex has a 400K token context window vs Ring 2.6 1T's 262K. You can compare their actual outputs across 39 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-5.1-Codex and Ring 2.6 1T each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 39 challenges so you can judge which fits your needs best.
GPT-5.1-Codex costs $1.25/M input tokens and Ring 2.6 1T costs $0/M input tokens. Ring 2.6 1T is $1.25/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-5.1-Codex 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.