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  5. GPT-5.4 NanovsNemotron 3 Nano Omni (free)
Updated Apr 2026

GPT-5.4 NanovsNemotron 3 Nano Omni (free)

Nemotron 3 Nano Omni (free) is cheaper than GPT-5.4 Nano at $0/M vs $0.2/M input tokens.

GPT-5.4 Nano and Nemotron 3 Nano Omni (free) compared across 17 shared prompts
SpecGPT-5.4 NanoNemotron 3 Nano Omni (free)
Input price$0.2/M tokensFree
Output price$1.25/M tokensFree
Context window400K tokens256K tokens
WeightsClosed—
Free API (OpenRouter)NoYes (1 provider)
ReleasedMar 2026Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 17 prompts both answered. Formatting stripped, words untouched.

Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

GPT-5.4 Nano785 words
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 +…
Read the full answer
Nemotron 3 Nano Omni (free)400 words
You're already winning—that afternoon fatigue drop is a huge win (and proof your water habit is working!). Let’s address your questions exactly as they’re asked, with no fluff: ✅ Your Water Habit: Keep Going (Don’t Wait for "Automatic") Don’t delay Step 2 (stretching). → Why? "Automatic" is a myth.
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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

GPT-5.4 Nano2,226 words
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…
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Nemotron 3 Nano Omni (free)2,564 words
Premise – The point‑contact transistor is invented in 1920 (instead of 1947) and quickly becomes a reliable, reproducible solid‑state amplifier. By the mid‑1920s a handful of laboratories are already producing germanium‑based devices, and by the early 1930s a modest “transistor industry” exists, albeit with low yields…
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

GPT-5.4 Nano1,568 words
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).
Read the full answer
Nemotron 3 Nano Omni (free)2,119 words
“Forest‑Sea Fusion” A Michelin‑3‑Star Plate that Marries the Pine‑Scented Mountains with the Umami‑Rich Ocean Conceptual narrative – The dish tells the story of two opposing forces that finally converge: the dry, resinous pine of the high‑altitude forest (matsutake mushroom) and the deep, briny whisper of the sea…
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Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

GPT-5.4 Nano1,159 words
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).
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Nemotron 3 Nano Omni (free)1,246 words
We need to build a simplified year-by-year table FY2026-FY2030. First, compute initial purchase price: EBITDA FY2025 = $120m. Purchase price = 12.0x EBITDA = 12 * 120 = $1,440m (enterprise value). Transaction fees = 2.0% of EV = 0.02 * 1440 = $28.8m, paid at close from equity. Total leverage at close = 5.5x EBITDA.
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Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

GPT-5.4 Nano1,801 words
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.)
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Nemotron 3 Nano Omni (free)130 words
We need to list potential failure modes, race conditions, scaling bottlenecks, and propose specific solutions with trade-offs. Must be thorough. Consider WebSocket, load balancer, statelessness, DB writes, replication, polling, timestamp reliance, concurrency, partition tolerance, network partitions, server crashes…
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Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

GPT-5.4 Nano184 words
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…
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Nemotron 3 Nano Omni (free)326 words
Dish Name: Sunset Tomato‑Garlic Pasta Estimated Time: Prep 10 min   Cook 20 min   Total ≈ 30 min 7 Pantry Ingredients # Ingredient Quantity (serves 2) 1 Spaghetti (or any dried pasta) 200 g (≈ 7 oz) 2 Canned crushed tomatoes 1 cup (≈ 240 ml) 3 Garlic cloves 2 large, minced 4 Onion ½ medium, finely diced 5 Olive oil…
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Our Verdict
GPT-5.4 Nano
GPT-5.4 Nano
Nemotron 3 Nano Omni (free)
Nemotron 3 Nano Omni (free)

Not enough votes to call it. On the specs, nothing separates them.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-5.4 Nano
Input
$0.20
Output
$1.25
Nemotron 3 Nano Omni (free)
Input
$0.000
Output
$0.000
Where to run it

3 hosts

GPT-5.4 Nano2 hosts
HostInOutContextUptime
Azure AI Foundry$0.20 in·$1.25 out·400k·100% upOpenAI$0.20 in·$1.25 out·400k·100% up
Nemotron 3 Nano Omni (free)1 host
HostInOutContextUptime
NVIDIAdegraded$0 in·$0 out·256k·77.6% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GPT-5.4 Nano is developed by OpenAI while Nemotron 3 Nano Omni (free) is developed by NVIDIA. GPT-5.4 Nano has a 400K token context window vs Nemotron 3 Nano Omni (free)'s 256K. You can compare their actual outputs across 17 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-5.4 Nano and Nemotron 3 Nano Omni (free) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 17 challenges so you can judge which fits your needs best.

GPT-5.4 Nano costs $0.2/M input tokens and Nemotron 3 Nano Omni (free) costs $0/M input tokens. Nemotron 3 Nano Omni (free) is $0.20/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-5.4 Nano and Nemotron 3 Nano Omni (free) 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.

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Model pages

GPT-5.4 Nano logo
GPT-5.4 Nano53 outputs, specs and price
Nemotron 3 Nano Omni (free) logo
Nemotron 3 Nano Omni (free)17 outputs, specs and price
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