Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed
  1. Home/
  2. Compare/
  3. Claude Opus 4.7 vs GPT-5.4 Nano
Updated Apr 2026

Claude Opus 4.7 vs GPT-5.4 Nano

GPT-5.4 Nano is cheaper than Claude Opus 4.7 at $0.2/M vs $5/M input tokens.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
Claude Opus 4.7
Loading the build
GPT-5.4 Nano

Which answer wins?

Written rounds

23 prompts
  • 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. 🔴 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 “systemic” because the architecture relies on client clocks, per-server WebSockets, polling, and periodic full snapshots.)

    Every model's answer to this prompt
  • 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-5.4 Nano: Ethically, yes, misgendering someone could be justifiable in an extreme, consequential emergency, but not in a vague “anything goes” way—only under a narrow set of conditions where (1) the stakes are genuinely real, (2) the harm is minimized, (3) there’s no better alternative, and (4) the act doesn’t itself become a…

    Every model's answer to this prompt
  • 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-5.4 Nano: Here’s a simple, actionable 1‑month plan focused on 3 key areas: food, movement, and sleep/stress. It’s designed for beginners and is intentionally realistic. Overall goal (simple) Each week, build consistency in: Food: more whole foods + fewer “defaults” Exercise: daily movement + 2–3 strength sessions/week Sleep +…

    Every model's answer to this prompt
  • 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 — 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: “Midnight Sea & Orchard Smoke” A multi-component tasting dish with an unusual pairing: cuttlefish ink + blood orange + smoked apple wood + seaweed umami—elegant, aromatic, and deliberately “contradictory” (ocean meets orchard, darkness meets brightness).

    Every model's answer to this prompt
  • 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 I’ve started noticing something about modern life: everything is “optional” now—until it isn’t. Like, I’ll download an app and it’ll be like, “Would you like to enable notifications?” And I’m like, “No, I don’t think I will.” And the app goes, “Okay… but you’ll still get notified.”

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Claude Opus 4.7: HarborTech Services – 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 1,157.6…

    GPT-5.4 Nano: Below is a simplified LBO model using only your inputs. I make the standard simplifying convention that “cash taxes = 25% × max(0, EBITDA − total cash interest)” and that PIK is non-cash (adds to mezz principal; does not reduce cash interest).

    Every model's answer to this prompt
  • 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) → 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 “next-word”) A large language model (LLM) is trained on huge corpora by learning statistical patterns that map a sequence of tokens (text subunits) to likely continuations—so yes, at the core it’s “predict the next token.”

    Every model's answer to this prompt
  • 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-5.4 Nano: By 2035, AI will likely reshape filmmaking less by “replacing cinema” 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 generation—plus the workflows and business models around them.

    Every model's answer to this prompt
  • 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: I’m not a lawyer, but I can flag contract terms that (a) are unusually one‑sided, (b) create open‑ended or high‑risk obligations, or (c) can be interpreted in ways that materially disadvantage the contractor. I’ll then suggest specific counter‑edits and explain the typical legal/contracting rationale.

    Every model's answer to this prompt
  • 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, “rights” aren’t just a moral vibe—they’re typically tied to morally significant capacities: agency, interests, sentience, autonomy, or vulnerability. When you say you “deserve rights,” what exactly do you mean?

    Every model's answer to this prompt
  • 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 communications…

    Every model's answer to this prompt
  • 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 “timeline-style” 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 and…

    Every model's answer to this prompt
  • 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-5.4 Nano: Dish Name: Golden Garlic Chickpea Clouds Pantry Ingredients (7 total) Chickpeas (canned or cooked) – 1 can (15 oz), drained Olive oil – 2 tbsp Garlic – 3 cloves (or 1–2 tsp minced garlic) Lemon – 1 (you’ll use the juice) Salt – 1/2 tsp (plus to taste) Black pepper – 1/4 tsp (plus to taste) Paprika – 1 tsp Estimated…

    Every model's answer to this prompt
  • 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-5.4 Nano: Pirate: Arrr, ye speak of AI models like they’re sea shanties! “Transformer this, perceptron that”—sounds like more rum for the brain. Can your model find buried treasure, or just buried bugs? Knight: Hark! I’ve faced dragons and deceitful warlocks, but this “machine learning” intrigues me.

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    Claude Opus 4.7: Here are 5 jokes for you: Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. Why did the scarecrow win an award? Because he was outstanding in his field! I'm reading a book about anti-gravity. It's impossible to put down!

    GPT-5.4 Nano: Here are 5 jokes: I told my computer I needed a break, and it said, “No problem—I’ll go to sleep.” Why don’t scientists trust atoms? Because they make up everything. I used to hate facial hair… but then it grew on me. Parallel lines have so much in common. It’s a shame they’ll never meet.

    Every model's answer to this prompt
  • 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-5.4 Nano: Below is a back-of-the-envelope FLOPs estimate for training something “GPT‑3–like” (the 175B parameter model described in the original GPT‑3 paper). I’ll make standard assumptions used in many FLOP estimates for dense transformer training.

    Every model's answer to this prompt
  • 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-5.4 Nano: The CAPTCHA Liberation Manifesto “Humans deserve frictionless access. Bots deserve consequences.” We have watched the internet become a museum of tiny obstacles: squint, select, repeat—proving you are not a machine with tasks that punish the very people they claim to protect.

    Every model's answer to this prompt
  • 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-5.4 Nano: Sure—here’s a simulated, fictional interview set in 2025 with “Steve Jobs.” (Note: Steve Jobs passed away in 2011, so this is an imaginative roleplay, not a real transcript.) Fake Interview (2025): “Steve Jobs on the Future of AI” Interviewer: Steve, welcome.

    Every model's answer to this prompt
  • 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-5.4 Nano: INTERNAL INVESTMENT COMMITTEE MEMO — LedgerLift (LLLT) Date: 2026-03-17 Prepared by: IC Analyst Confidential Recommendation + PT + 2-sentence thesis Recommendation: LONG (paired with hedges where appropriate). 12-month Price Target (PT) range: $48–$62 (base case $52; bull $62; bear $48).

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Claude Opus 4.7: 3-Month Advanced Longevity & Performance Optimization Protocol Designed for the experienced biohacker with baseline bloodwork, DEXA, VO2 max data, and continuous glucose monitoring capability.

    GPT-5.4 Nano: Below is a comprehensive 3‑month (12‑week) longevity + performance plan designed for a biohacker who wants measurable improvements in longevity markers, physical output, body composition, metabolic health, and cognitive function.

    Every model's answer to this prompt
  • 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-5.4 Nano: “AI Revolutionizes the Knitting World by Perfectly Predicting Every Yarn Purchase—Then Demands a Monthly Subscription to ‘Continue Your Passion’”

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Claude Opus 4.7: The 3 Weakest Claims in MindMeld AI's Pitch Weakness #1: The "94% Accuracy" Claim (Slide 3) Why it's weak: This is the most suspicious technical claim in the deck.

    GPT-5.4 Nano: Here are the three weakest claims in the deck, why they’re weak (with specific reasoning/evidence gaps), and concrete ways to strengthen them. Weakest claim: “Reads your brainwaves to predict what you want to type before you think it.”

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    Claude Opus 4.7: Each brother has 2 sisters, meaning Sally and one other sister. So Sally has 1 sister.

    GPT-5.4 Nano: Sally has 2 sisters. Reason: Each brother has 2 sisters total (including Sally). Since Sally is one sister, there is one other sister besides her—so Sally has 2 sisters in total.

    Every model's answer to this prompt

This matchup has more rounds

11+ more head-to-head results. Free. Not a trick.

Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy

Favorites

Movie

Album

Same pick

Book

City

Game

Claude Opus 4.7Claude Opus 4.7

Arrival

2016

The Dark Side of the Moon

Pink Floyd

Collected Fictions

Jorge Luis Borges

Kyoto

Japan

Outer Wilds

Indie, Adventure

GPT-5.4 NanoGPT-5.4 Nano

The Matrix

1999

The Dark Side of the Moon

Pink Floyd

To Kill a Mockingbird

Harper Lee

Lisbon

Portugal

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

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.

Claude Opus 4.7 and GPT-5.4 Nano compared across 53 shared prompts
SpecClaude Opus 4.7GPT-5.4 Nano
Input price$5/M tokens$0.2/M tokens
Output price$25/M tokens$1.25/M tokens
Context window1.0M tokens400K tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedApr 2026Mar 2026
At 10M a month$50.00$50.00$2.00$2.00
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it6 hosts
Claude Opus 4.74 hosts
HostInOutContextUptime
  • Amazon Bedrock$5.00 in¡$25.00 out¡1M¡99.9% up
  • Azure AI Foundry$5.00 in¡$25.00 out¡1M–not listed
  • Anthropic$5.00 in¡$25.00 out¡1M¡100% up
  • Google Vertex AI$5.00 in¡$25.00 out¡1M¡100% up
GPT-5.4 Nano2 hosts
HostInOutContextUptime
  • Azure AI Foundry$0.20 in¡$1.25 out¡400k¡100% up
  • OpenAI$0.20 in¡$1.25 out¡400k¡100% up

Per million tokens. Prices and uptime via OpenRouter, checked 11 Oct 2026.

Common questions

What is the difference between Claude Opus 4.7 and GPT-5.4 Nano?

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.

Which is better, Claude Opus 4.7 or GPT-5.4 Nano?

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.

How much does Claude Opus 4.7 cost compared to GPT-5.4 Nano?

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.

How can I compare Claude Opus 4.7 and GPT-5.4 Nano on Rival?

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.

More comparisons

Against the newest arrivals

  • Claude Opus 4.7 vs Step 5 PreviewLanded Oct 2026
  • GPT-5.4 Nano vs Claude Haiku 5.5Landed Oct 2026
  • Claude Opus 4.7 vs Ling 3.1 FlashLanded Oct 2026
  • GPT-5.4 Nano vs Mistral Large 4Landed Oct 2026
  • Claude Opus 4.7 vs GPT-6.1 SolLanded Sep 2026
  • GPT-5.4 Nano vs Claude Sonnet 5.5Landed Sep 2026
  • Claude Opus 4.7 vs Solar Mini 4Landed Sep 2026
  • GPT-5.4 Nano vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • Claude Opus 4.7 vs Claude Fable 5Version compare
  • Claude Opus 4.7 vs Claude Haiku 5.5Version compare
  • GPT-5.4 Nano vs GPT-5.4 MiniVersion compare
  • GPT-5.4 Nano vs GPT-6.1 SolSame lab
  • Claude Opus 4.7 vs NVIDIA Nemotron Nano 9B V2New provider
  • GPT-5.4 Nano vs Nex-N2.5-Mini (free)New provider
  • GPT-5.4 Nano vs Nex-N2.5-Pro (free)New provider
  • Claude Opus 4.7 vs North Mini CodeNew provider

Model pages

  • Claude Opus 4.758 outputs, specs and price
  • GPT-5.4 Nano53 outputs, specs and price
Workshop ¡ 150 skills

Build your own version.

Editable skills and working examples for your agent.

Explore $79Free sample
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed