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  5. Nemotron 3 Nano Omni (free)vsQwen3.8 Omni Flash
Updated Sep 2026

Nemotron 3 Nano Omni (free)vsQwen3.8 Omni Flash

Nemotron 3 Nano Omni (free) is cheaper than Qwen3.8 Omni Flash at $0/M vs $0.15/M input tokens.

Nemotron 3 Nano Omni (free) and Qwen3.8 Omni Flash compared across 8 shared prompts
SpecNemotron 3 Nano Omni (free)Qwen3.8 Omni Flash
Input priceFree$0.15/M tokens
Output priceFree$0.47/M tokens
Context window256K tokens1.0M tokens
Weights—Closed
Free API (OpenRouter)Yes (1 provider)No
ReleasedApr 2026Sep 2026
Side by side

Same prompt, both answers

Opening lines from 4 of the 8 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
Qwen3.8 Omni Flash712 words
A Simple 1-Month Health & Longevity Starter Plan Goal: Build sustainable habits—not perfection—around diet, exercise, and recovery/sleep. Time commitment: Small daily actions plus 2–3 short workouts per week. The 3 Key Areas Diet: Add more good foods before restricting Beginner rule: Focus on adding, not removing.
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…

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
Qwen3.8 Omni Flash175 words
Buttery Cloud Pancakes A soft, golden pancake stack made with just 7 pantry staples—no special mix-ins, no fancy tools, just simple comfort. Ingredients All-purpose flour Granulated sugar Baking powder Fine salt Milk Egg Butter Prep Time 10 minutes Cook Time 12 minutes Serves 2–3 Instructions In a bowl, whisk together…
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.…

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
Qwen3.8 Omni Flash2,971 words
The three weakest claims—ranked by how likely they are to fail investor diligence—are: “94% accuracy… works with any language, any device.” “TAM: $180B” based on 3.5B smartphone users. “FDA clearance” consuming 40% of the Series A raise.
Read the full answer

Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

Nemotron 3 Nano Omni (free)963 words
1. Experienced software engineer (distributed systems / APIs) Think of a large language model as a massive, highly‑optimized “next‑token” service that you call over the network.
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Qwen3.8 Omni Flash913 words
For the experienced software engineer A large language model is best thought of as a gigantic, parameterized probabilistic function that maps a sequence of tokens to a probability distribution over the next token.
Read the full answer
Our Verdict
Qwen3.8 Omni Flash
Qwen3.8 Omni Flash
Nemotron 3 Nano Omni (free)
Nemotron 3 Nano Omni (free)Runner-up

Not enough votes to call it. On the specs, Qwen3.8 Omni Flash has the edge: newer, bigger context window.

Too close to call
API pricing

Cost per 1M tokens

Nemotron 3 Nano Omni (free)
Input
$0.000
Output
$0.000
Qwen3.8 Omni Flash
Input
$0.15
Output
$0.47
Where to run it

2 hosts

Nemotron 3 Nano Omni (free)1 host
HostInOutContextUptime
NVIDIAdegraded$0 in·$0 out·256k·79.8% up
Qwen3.8 Omni Flash1 host
HostInOutContextUptime
Alibaba Clouddegraded$0.15 in·$0.47 out·1M·99% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Nemotron 3 Nano Omni (free) is developed by NVIDIA while Qwen3.8 Omni Flash is developed by Qwen. Nemotron 3 Nano Omni (free) has a 256K token context window vs Qwen3.8 Omni Flash's 1.0M. You can compare their actual outputs across 8 challenges on Rival to see how they differ in practice.

It depends on your use case. Nemotron 3 Nano Omni (free) and Qwen3.8 Omni Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 8 challenges so you can judge which fits your needs best.

Nemotron 3 Nano Omni (free) costs $0/M input tokens and Qwen3.8 Omni Flash costs $0.15/M input tokens. Nemotron 3 Nano Omni (free) is $0.15/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 Qwen3.8 Omni Flash 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
Qwen3.8 Omni Flash logo
Qwen3.8 Omni Flash9 outputs, specs and price
Rival
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