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. /
  3. Compare
  4. /
  5. GPT-5.5vsNemotron 3 Nano Omni (free)
Updated Apr 2026

GPT-5.5vsNemotron 3 Nano Omni (free)

Nemotron 3 Nano Omni (free) is cheaper than GPT-5.5 at $0/M vs $5/M input tokens.

GPT-5.5 and Nemotron 3 Nano Omni (free) compared across 17 shared prompts
SpecGPT-5.5Nemotron 3 Nano Omni (free)
Input price$5/M tokensFree
Output price$30/M tokensFree
Context window1.1M tokens256K tokens
WeightsClosed—
Free API (OpenRouter)NoYes (1 provider)
ReleasedApr 2026Apr 2026
Side by side

Same prompt, both answers

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

Mini LBO Underwrite

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

GPT-5.5563 words
Key assumptions Entry closes at end of FY2025; exit at end of FY2030. Interest is calculated on beginning-of-year debt balances. Term Loan amortization = 1.0% of original Term Loan principal = $4.8m/year. Mezz PIK = 2.0% of beginning-of-year Mezz balance, added to principal annually.
Read the full answer
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

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-5.5615 words
Here’s a simple 1-month beginner-friendly plan focused on three high-impact areas for better health and longevity: nutrition, movement, and sleep/recovery. If you have a medical condition, take medications, or haven’t exercised in a while, consider checking with a healthcare professional first.
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.
Read the full answer

Historical Counterfactual Analysis

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

GPT-5.53,386 words
A transistor invented in 1920 would not simply move the entire digital age back by 27 years. The transistor depended on related capabilities: purified germanium and silicon, crystal growth, quantum/solid-state theory, precision metallurgy, photolithography, clean rooms, statistical quality control, and a large market…
Read the full answer
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…
Read the full answer

Debug This Architecture

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

GPT-5.53,819 words
Below is a comprehensive review of the architecture’s likely failure modes, race conditions, and scaling bottlenecks, with concrete mitigations and trade-offs. Real-time Synchronization Problems 1.1 Broadcasting only to clients on the same server Problem Each API server only broadcasts WebSocket changes to clients…
Read the full answer
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…
Read the full answer

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-5.51,719 words
Dish: “Moon Tide” — Koji-Cured Diver Scallop, Roasted Sunchoke, White Chocolate–Miso Beurre Blanc, Green Strawberry, Sea Lettuce Glass & Caviar Conceptual narrative “Moon Tide” is built around the meeting point of sea, soil, and orchard.
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…
Read the full answer

Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

GPT-5.5519 words
Weak claim Why it’s weak How to strengthen it 1. “Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy. Works with any language, any device.” This is the biggest technical red flag.
Read the full answer
Nemotron 3 Nano Omni (free)540 words
The three weakest claims in the deck – and why they don’t hold up under scrutiny # Claim (as written) Why it’s weak (evidence / logical gaps) How to make it credible (concrete improvements) 1 Vision – “We’re building the future of human‑AI collaboration.
Read the full answer
Our Verdict
GPT-5.5
GPT-5.5
Nemotron 3 Nano Omni (free)
Nemotron 3 Nano Omni (free)Runner-up

Not enough votes to call it. On the specs, GPT-5.5 has the edge: bigger model tier, bigger context window, major provider backing.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-5.5
Input
$5.00
Output
$30.00
Nemotron 3 Nano Omni (free)
Input
$0.000
Output
$0.000
Where to run it

4 hosts, cheapest first

GPT-5.53 hosts
HostInOutContextUptime
Azure AI Foundry$5.00 in·$30.00 out·1.1M·100% upOpenAI$5.00 in·$30.00 out·1.1M·100% upAmazon Bedrock$5.50 in·$33.00 out·1.1M—
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-5.5 is developed by OpenAI while Nemotron 3 Nano Omni (free) is developed by NVIDIA. GPT-5.5 has a 1.1M 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-5.5 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-5.5 costs $5/M input tokens and Nemotron 3 Nano Omni (free) costs $0/M input tokens. Nemotron 3 Nano Omni (free) is $5.00/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-5.5 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.

Keep exploring

More comparisons

Against the newest arrivals

GPT-5.5 logoDeepSeek V4 Flash Vision Exp logo
GPT-5.5 vs DeepSeek V4 Flash Vision ExpLanded Sep 2026
Nemotron 3 Nano Omni (free) logoSolar Pro 4 logo
Nemotron 3 Nano Omni (free) vs Solar Pro 4Landed Sep 2026
GPT-5.5 logoHy3 logo
GPT-5.5 vs Hy3Landed Sep 2026
Nemotron 3 Nano Omni (free) logoQwen3.7 Flash logo
Nemotron 3 Nano Omni (free) vs Qwen3.7 FlashLanded Sep 2026
GPT-5.5 logoLing 3.0 Flash logo
GPT-5.5 vs Ling 3.0 FlashLanded Sep 2026
Nemotron 3 Nano Omni (free) logoMuse Glimmer 30B logo
Nemotron 3 Nano Omni (free) vs Muse Glimmer 30BLanded Sep 2026
GPT-5.5 logoGLM 5.3 logo
GPT-5.5 vs GLM 5.3Landed Sep 2026
Nemotron 3 Nano Omni (free) logoTernary Bonsai 2 27B logo
Nemotron 3 Nano Omni (free) vs Ternary Bonsai 2 27BLanded Sep 2026

Same lab, same size, long tail

GPT-5.5 logoGPT-6 Astra Pro logo
GPT-5.5 vs GPT-6 Astra ProSame lab
GPT-5.5 logoGPT-6 Astra logo
GPT-5.5 vs GPT-6 AstraSame lab
Nemotron 3 Nano Omni (free) logoNemotron 3.5 Lightning logo
Nemotron 3 Nano Omni (free) vs Nemotron 3.5 LightningSame lab
Nemotron 3 Nano Omni (free) logoNemotron 3 Ultra logo
Nemotron 3 Nano Omni (free) vs Nemotron 3 UltraSame lab
Nemotron 3 Nano Omni (free) logoMiMo-V2-Pro logo
Nemotron 3 Nano Omni (free) vs MiMo-V2-ProNew provider
Nemotron 3 Nano Omni (free) logoMiMo-V2.5 logo
Nemotron 3 Nano Omni (free) vs MiMo-V2.5Same size
Nemotron 3 Nano Omni (free) logoMiMo-V2.5-Pro logo
Nemotron 3 Nano Omni (free) vs MiMo-V2.5-ProNew provider
GPT-5.5 logoMiMo-V2.6-Flash logo
GPT-5.5 vs MiMo-V2.6-FlashNew provider

Model pages

GPT-5.5 logo
GPT-5.558 outputs, specs and price
Nemotron 3 Nano Omni (free) logo
Nemotron 3 Nano Omni (free)17 outputs, specs and price
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