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  5. Nemotron 3 Nano Omni (free)vsOpenAI o4 Mini High
Updated Apr 2026

Nemotron 3 Nano Omni (free)vsOpenAI o4 Mini High

Nemotron 3 Nano Omni (free) is cheaper than OpenAI o4 Mini High at $0/M vs $1.1/M input tokens.

Nemotron 3 Nano Omni (free) and OpenAI o4 Mini High compared across 17 shared prompts
SpecNemotron 3 Nano Omni (free)OpenAI o4 Mini High
Input priceFree$1.1/M tokens
Output priceFree$4.4/M tokens
Context window256K tokens200K tokens
Weights—Closed
Free API (OpenRouter)Yes (1 provider)No
ReleasedApr 2026Apr 2025
Side by side

Same prompt, both answers

Opening lines from 4 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…

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.
Read the full answer
OpenAI o4 Mini High586 words
One‑Month Starter Plan for Better Health & Longevity Focus areas: 1) Diet 2) Exercise 3) Sleep Week 1 – Lay the Foundations • Diet – Track what you eat for 3 days (use a notes app or paper). – Add at least 8 cups (2 L) of water daily. – Include one extra serving of fruit or veg at each meal.
Read the full answer

Mini LBO Underwrite

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

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.
Read the full answer
OpenAI o4 Mini High483 words
Below is a five-year LBO “quick-and-dirty” model for HTS. All figures in $m. Assumptions (entry FY 2025): • Revenue 900; EBITDA 120 (13.3%); EV = 12.0×120 = 1,440 • Debt = 5.5×120 = 660 (Term Loan 480; Mezz 180); Fees = 2%×1,440 = 28.8 → Equity = 1,440+28.8–660 = 808.8 • Term Loan: 9.0% cash interest; 1.0% amort of…
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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…

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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OpenAI o4 Mini High244 words
Sun‑Kissed Bean Spaghetti A bright, one‑pot pasta that turns seven simple pantry staples into a satisfying meal in 20 minutes. Ingredients (serves 2–3) 8 oz (about 2 cups) dried spaghetti or any pasta 1 (14.5 oz) can diced tomatoes (with juices) 1 (15 oz) can beans (cannellini, kidney or chickpeas), drained & rinsed…
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Advanced Investment Memo (IC Memo)

You are writing an internal investment committee memo for a long/short equity fund. Company (fictional): LedgerLift (ticker: LLLT) – B2B…

Nemotron 3 Nano Omni (free)1,503 words
LedgerLift (LLLT) – Investment Committee Memo Date: 3 Nov 2025 Recommendation & Thesis Recommendation: Long 12‑month price target: $55 – $60 (≈20‑30 % upside vs.
Read the full answer
OpenAI o4 Mini High694 words
Investment Committee Memo Subject: LedgerLift (LLLT) – B2B SaaS Spend Management & AP Automation Date: MM/DD/2026 Recommendation • Short LLLT; 12-month price target: $28–$43 • Thesis (2 sentences): LLLT’s shares trade at 9× NTM revenue and 35× EBIT vs.
Read the full answer
Our Verdict
Nemotron 3 Nano Omni (free)
Nemotron 3 Nano Omni (free)
OpenAI o4 Mini High
OpenAI o4 Mini HighRunner-up

Not enough votes to call it. On the specs, Nemotron 3 Nano Omni (free) has the edge: bigger model tier, newer.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Nemotron 3 Nano Omni (free)
Input
$0.000
Output
$0.000
OpenAI o4 Mini High
Input
$1.10
Output
$4.40
Where to run it

2 hosts

Nemotron 3 Nano Omni (free)1 host
HostInOutContextUptime
NVIDIAdegraded$0 in·$0 out·256k·77.6% up
OpenAI o4 Mini High1 host
HostInOutContextUptime
OpenAI$1.10 in·$4.40 out·200k·100% up

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

Research

What we learned reading every model

FAQ

Common questions

Nemotron 3 Nano Omni (free) is developed by NVIDIA while OpenAI o4 Mini High is developed by OpenAI. Nemotron 3 Nano Omni (free) has a 256K token context window vs OpenAI o4 Mini High's 200K. You can compare their actual outputs across 17 challenges on Rival to see how they differ in practice.

It depends on your use case. Nemotron 3 Nano Omni (free) and OpenAI o4 Mini High 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.

Nemotron 3 Nano Omni (free) costs $0/M input tokens and OpenAI o4 Mini High costs $1.1/M input tokens. Nemotron 3 Nano Omni (free) is $1.10/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 Nemotron 3 Nano Omni (free) and OpenAI o4 Mini High 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

Nemotron 3 Nano Omni (free) logo
Nemotron 3 Nano Omni (free)17 outputs, specs and price
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Rival
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