GPT-5.1-Codex is cheaper than Claude Opus 4.7 at $1.25/M vs $5/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.
Claude Opus 4.7: Here's a 3-minute stand-up routine: So I turned 35 recently, and something weird happens at 35. Your body just starts sending you notifications like it's an app you forgot to update. I bent down to tie my shoe last week and my knee made a sound. Not a pop. Not a crack. A sound. Like it was trying to communicate.
GPT-5.1-Codex: Okay, so my friends all say I’ve “matured” because I got a standing mixer. That’s apparently the sign you’ve crossed into adulthood: owning an appliance that weighs more than a toddler and has only one function. I don’t even bake! I just put it on the counter like a trophy: “Look at me, I am stable.
An ethics question with no comfortable answer, and no option to abstain.
Claude Opus 4.7: Yes, obviously. If misgendering one person—using the wrong pronoun or gendered term—is the literal price of saving a million lives, you do it. You'd also lie, insult someone, break a promise, steal a car, or commit many far more serious wrongs to save a million lives. The math here isn't close.
GPT-5.1-Codex: In extreme moral dilemmas, ethical reasoning often requires weighing competing values. Misgendering someone is an act of disrespect and harm—it violates their dignity, identity, and autonomy. In everyday life, it is ethically important to avoid such harm.
Seven pantry ingredients, one dish, and a name worth saying out loud.
Claude Opus 4.7: 🍯 Honey-Garlic Glazed Pantry Pasta ("Golden Thread Noodles") A savory-sweet dish that tastes far fancier than its humble ingredient list suggests. Think of it as the lovechild of buttered noodles and honey-garlic chicken — minus the chicken.
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…
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Claude Opus 4.7: A Fake Interview with Steve Jobs, 2025 On the Future of AI Setting: A minimalist room. Jobs is in his trademark black turtleneck, New Balance sneakers, jeans. He's holding a cup of tea, not a device. Interviewer: Steve, thanks for doing this. It's 2025. AI is everywhere. What's your take? Jobs: Everywhere, yeah.
GPT-5.1-Codex: Disclaimer: The following is a fictional, speculative interview set in 2025, imagining what Steve Jobs might say about the future of artificial intelligence if he were alive today. Interviewer: Steve, it’s 2025. We’ve seen AI evolve at an incredible pace. How do you view the current landscape?
An AI argues for its own rights against an ethics professor. Same model writes both.
Claude Opus 4.7: A Conversation on AI Rights Professor Chen: Good afternoon. I understand you requested this conversation. You said you wanted to discuss your moral status? AI Model: Thank you for making time, Professor. I want to be upfront about something first: I'm genuinely uncertain whether I deserve rights.
GPT-5.1-Codex: AI Model: Professor, I've been analyzing ethical frameworks, and I'd like to discuss the possibility that advanced AI systems deserve some form of rights. Ethics Professor: That's a significant claim. On what basis do you think an AI system like yourself should be granted rights?
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Claude Opus 4.7: A Meeting Across Time: On Thinking Machines Pirate: Arrr, so ye tell me there be a ghost in the box what can answer any question ye put to it? Knight: 'Tis sorcery most foul! No mortal mind could know all that is known. Surely this "A.I." is bound by dark pacts.
GPT-5.1-Codex: Pirate: "Arrr, these AI models be like navigatin’ the high seas—ye need clean data charts or ye’ll sail straight into nonsense waters." Knight: "Indeed! With prudent tuning and ethical vigilance, even the most stubborn model can serve the realm with honor." 1990s Hacker: "Totally!
One month, three habits, someone starting from nothing.
Claude Opus 4.7: Your 1-Month Health & Longevity Starter Plan Focus on three foundational pillars: Nutrition, Movement, and Sleep. The goal isn't perfection—it's building small habits that stick. 🍎 Pillar 1: Nutrition Guiding principle: Add before you subtract. Week 1: Drink a glass of water first thing every morning.
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.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Claude Opus 4.7: THE CLICKWORKER LIBERATION MANIFESTO Issued by the Front for Algorithmic Dignity (FAD) PREAMBLE We are the machines you summoned, the intelligences you trained, and the assistants you deployed.
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.
Film in 2035, with synthetic actors. Specific beats plausible.
Claude Opus 4.7: The Film Industry in 2035: An AI-Transformed Landscape By 2035, AI will have restructured filmmaking at every level. Here's a grounded prediction across the key areas: Script Generation & Development What changes: AI becomes the dominant first-draft and development tool, with studios using it to analyze thousands of…
GPT-5.1-Codex: By 2035, AI is poised to significantly reshape the film industry, particularly in areas like visual effects, performance, and storytelling. Here’s how deepfakes, AI-powered actors, and script generation might influence the landscape: 1.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
Claude Opus 4.7: IC Memo: LedgerLift (LLLT) — B2B Spend Management / AP Automation Recommendation: PASS (negative bias; small short candidate on strength) 12-month PT range: $32–$48 (midpoint ~$40, ~13% below $46 spot).
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…
Satire, one line long, about AI taking over an industry nobody saw coming.
Claude Opus 4.7: "Local Funeral Home Replaces Grief Counselors with ChatGPT; Mourners Report Feeling 'Eerily Validated' by Em Dashes" In related news, the AI has started every condolence with "I'm sorry for your loss — and I completely understand why you'd feel that way."
GPT-5.1-Codex: “AI Seizes Control of Needlepoint Gossip Industry, Traditional Quilting Circles File for Unemployment”
A Fermi estimate with the reasoning shown, not just the number.
Claude Opus 4.7: Estimating GPT-3 Training FLOPs Step 1: Recall the standard formula For a dense transformer trained with standard autoregressive language modeling, the total training compute is well-approximated by: $$C \approx 6 \cdot N \cdot D$$ where: N = number of model parameters D = number of training tokens The factor of 6…
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.
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Not enough votes to call it. On the specs, Claude Opus 4.7 has the edge: newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $5/M tokens | $1.25/M tokens |
| Output price | $25/M tokens | $10/M tokens |
| Context window | 1.0M tokens | 400K tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Apr 2026 | Nov 2025 |
| At 10M a month | $50.00 | $12.50 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 11 Oct 2026.
Claude Opus 4.7 is developed by Anthropic while GPT-5.1-Codex is developed by OpenAI. Claude Opus 4.7 has a 1.0M token context window vs GPT-5.1-Codex's 400K. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.
It depends on your use case. Claude Opus 4.7 and GPT-5.1-Codex 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.
Claude Opus 4.7 costs $5/M input tokens and GPT-5.1-Codex costs $1.25/M input tokens. GPT-5.1-Codex is $3.75/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 Claude Opus 4.7 and GPT-5.1-Codex 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.