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  5. Andromeda AlphavsNemotron 3 Nano Omni (free)
Updated Apr 2026

Andromeda AlphavsNemotron 3 Nano Omni (free)

Nemotron 3 Nano Omni (free) has a larger context window than Andromeda Alpha (256K tokens vs 128K tokens).

Andromeda Alpha and Nemotron 3 Nano Omni (free) compared across 2 shared prompts
SpecAndromeda AlphaNemotron 3 Nano Omni (free)
Input priceFreeFree
Output priceFreeFree
Context window128K tokens256K tokens
Free API (OpenRouter)NoYes (1 provider)
ReleasedOct 2025Apr 2026
Side by side

Same prompt, both answers

Opening lines from every prompt 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…

Andromeda Alpha449 words
1-Month Plan for Better Health & Longevity Focus: Diet, Exercise, Sleep, Stress Management Week 1: Build Foundations Diet Start a simple food diary (phone app like MyFitnessPal) to track meals for 3 days → Identify gaps/nutrient-rich swaps.
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

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…

Andromeda Alpha132 words
Dish Name: Moonlit Mug Cake Ingredients (Serves 1): All-purpose flour (½ cup) Sugar (¼ cup) Cinnamon (1 tsp) Salt (¼ tsp) Unsalted butter (3 tbsp, melted) Milk (⅓ cup) Vanilla extract (1 tsp) Instructions: Prep: In a rainproof mug, whisk together flour, sugar, cinnamon, and salt (1–2 mins).
Read the full answer
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…
Read the full answer
Our Verdict
Nemotron 3 Nano Omni (free)
Nemotron 3 Nano Omni (free)
Andromeda Alpha
Andromeda AlphaRunner-up

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

Slight edge
API pricing

Cost per 1M tokens

Andromeda Alpha
Input
$0.000
Output
$0.000
Nemotron 3 Nano Omni (free)
Input
$0.000
Output
$0.000
Where to run it

1 host

Andromeda Alpha

No hosts listed on OpenRouter.

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

Andromeda Alpha is developed by OpenRouter while Nemotron 3 Nano Omni (free) is developed by NVIDIA. Andromeda Alpha has a 128K token context window vs Nemotron 3 Nano Omni (free)'s 256K. You can compare their actual outputs across 2 challenges on Rival to see how they differ in practice.

It depends on your use case. Andromeda Alpha and Nemotron 3 Nano Omni (free) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 2 challenges so you can judge which fits your needs best.

Andromeda Alpha costs $0/M input tokens and Nemotron 3 Nano Omni (free) costs $0/M input tokens. Nemotron 3 Nano Omni (free) is $0.00/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 Andromeda Alpha 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

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