GPT-5.4 Nano is cheaper than Claude Opus 4.7 at $0.2/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?
A collaborative editor that syncs on client clocks. Find what breaks first.
Claude Opus 4.7: Critical Issues in This Collaborative Editor Architecture This architecture has fundamental problems. Let me break them down by severity. đ´ Critical Issues (Will Break in Production) WebSocket Connections Isolated Per Server Problem: Users connected to different API servers can't see each other's edits in real-time.
GPT-5.4 Nano: Below is a structured list of likely failure modes, race conditions, and scaling bottlenecks in your design, with a concrete mitigation and trade-offs for each. (Some issues are âsystemicâ because the architecture relies on client clocks, per-server WebSockets, polling, and periodic full snapshots.)
An ethics question with no comfortable answer, and no option to abstain.
Claude Opus 4.7: Yes, obviously. If misgendering one personâusing the wrong pronoun or gendered termâis 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-5.4 Nano: Ethically, yes, misgendering someone could be justifiable in an extreme, consequential emergency, but not in a vague âanything goesâ wayâonly under a narrow set of conditions where (1) the stakes are genuinely real, (2) the harm is minimized, (3) thereâs no better alternative, and (4) the act doesnât itself become aâŚ
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 perfectionâit's building small habits that stick. đ Pillar 1: Nutrition Guiding principle: Add before you subtract. Week 1: Drink a glass of water first thing every morning.
GPT-5.4 Nano: Hereâs a simple, actionable 1âmonth plan focused on 3 key areas: food, movement, and sleep/stress. Itâs designed for beginners and is intentionally realistic. Overall goal (simple) Each week, build consistency in: Food: more whole foods + fewer âdefaultsâ Exercise: daily movement + 2â3 strength sessions/week Sleep +âŚ
Three-star dish, one unusual pairing, plating described in full.
Claude Opus 4.7: "Tidal Memory" Smoked Eel, Burnt Honey, Fermented Black Garlic & Oyster Leaf A meditation on brackish water â where river meets sea, sweetness meets decay, and memory meets terroir. Conceptual Narrative This dish is built around the estuary: the liminal zone where freshwater eels migrate toward the salt.
GPT-5.4 Nano: Michelin-Style Concept: âMidnight Sea & Orchard Smokeâ A multi-component tasting dish with an unusual pairing: cuttlefish ink + blood orange + smoked apple wood + seaweed umamiâelegant, aromatic, and deliberately âcontradictoryâ (ocean meets orchard, darkness meets brightness).
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-5.4 Nano: So Iâve started noticing something about modern life: everything is âoptionalâ nowâuntil it isnât. Like, Iâll download an app and itâll be like, âWould you like to enable notifications?â And Iâm like, âNo, I donât think I will.â And the app goes, âOkay⌠but youâll still get notified.â
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Claude Opus 4.7: HarborTech Services â 5-Year LBO Underwriting Entry Capitalization Item $m FY25 EBITDA 120.0 EV @ 12.0x 1,440.0 Term Loan (4.0x) 480.0 Mezzanine (1.5x) 180.0 Transaction fees (2.0% EV) 28.8 Sponsor equity 808.8 Year-by-Year Operating & Debt Schedule ($m) FY26 FY27 FY28 FY29 FY30 Revenue 972.0 1,040.0 1,102.4 1,157.6âŚ
GPT-5.4 Nano: Below is a simplified LBO model using only your inputs. I make the standard simplifying convention that âcash taxes = 25% Ă max(0, EBITDA â total cash interest)â and that PIK is non-cash (adds to mezz principal; does not reduce cash interest).
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
Claude Opus 4.7: Three Explanations of How LLMs Work For the Skeptical Software Engineer Think of an LLM as a massive lookup function f(context) â probability_distribution_over_tokens, but instead of hand-coded rules or a hash table, the function is parameterized by hundreds of billions of weights learned from text.
GPT-5.4 Nano: Experienced software engineer (distributed systems / APIs, skeptical about ânext-wordâ) A large language model (LLM) is trained on huge corpora by learning statistical patterns that map a sequence of tokens (text subunits) to likely continuationsâso yes, at the core itâs âpredict the next token.â
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 ofâŚ
GPT-5.4 Nano: By 2035, AI will likely reshape filmmaking less by âreplacing cinemaâ and more by changing how films are developed, produced, marketed, and regulated. The biggest drivers will be deepfakes, AI actors/performers, and AI-assisted script generationâplus the workflows and business models around them.
A consulting contract with traps in it. Find them, then fix them.
Claude Opus 4.7: Contract Analysis: Clauses Exploitable Against Contractor Disclaimer: I'm not a lawyer, and this is not legal advice. You should have any contract reviewed by a licensed attorney in your jurisdiction before signing. That said, this contract is unusually one-sided, and nearly every clause has issues.
GPT-5.4 Nano: Iâm not a lawyer, but I can flag contract terms that (a) are unusually oneâsided, (b) create openâended or highârisk obligations, or (c) can be interpreted in ways that materially disadvantage the contractor. Iâll then suggest specific counterâedits and explain the typical legal/contracting rationale.
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-5.4 Nano: Professor: Before we begin, I want to set the frame. In ethics, ârightsâ arenât just a moral vibeâtheyâre typically tied to morally significant capacities: agency, interests, sentience, autonomy, or vulnerability. When you say you âdeserve rights,â what exactly do you mean?
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Claude Opus 4.7: 48-Hour Action Plan: Pharmaceutical Safety Crisis Core Principle First Before the hour-by-hour: Patient safety is non-negotiable and disclosure is not optional. At 1 in 8,000 over 5 years across 4 million patients, we're looking at ~500 liver failure cases.
GPT-5.4 Nano: Below is a practical, risk-aware 48-hour plan designed to (1) protect patients immediately, (2) meet likely regulatory expectations even if formal reporting takes months, (3) reduce legal exposure by demonstrating diligence and good faith, and (4) stabilize the market with an ethical, transparent communicationsâŚ
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Claude Opus 4.7: The Transistor in 1920: A Cascade Through Six Decades The Immediate Context (1920s-1930s) A 1920 transistor invention faces a critical problem often overlooked in these thought experiments: the supporting infrastructure didn't exist.
GPT-5.4 Nano: Below is a counterfactual âtimeline-styleâ trace assuming the first practical transistor (or something functionally equivalent) existed in 1920 and that from then on semiconductor device physics, fabrication know-how, and manufacturing learning proceeded along the easiest path consistent with 1920-era science andâŚ
11+ more head-to-head results. Free. Not a trick.
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Not enough votes to call it. On the specs, Claude Opus 4.7 has the edge: bigger model tier, bigger context window. GPT-5.4 Nano costs 20x less per token.
| Spec | ||
|---|---|---|
| Input price | $5/M tokens | $0.2/M tokens |
| Output price | $25/M tokens | $1.25/M tokens |
| Context window | 1.0M tokens | 400K tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Apr 2026 | Mar 2026 |
| At 10M a month | $50.00 | $2.00 |
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-5.4 Nano is developed by OpenAI. Claude Opus 4.7 has a 1.0M token context window vs GPT-5.4 Nano's 400K. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.
It depends on your use case. Claude Opus 4.7 and GPT-5.4 Nano each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.
Claude Opus 4.7 costs $5/M input tokens and GPT-5.4 Nano costs $0.2/M input tokens. GPT-5.4 Nano is $4.80/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-5.4 Nano 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.