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  5. NVIDIA Nemotron Nano 9B V2vsQwen3.8 Flash
Updated Aug 2026

NVIDIA Nemotron Nano 9B V2vsQwen3.8 Flash

NVIDIA Nemotron Nano 9B V2 is cheaper than Qwen3.8 Flash at $0.04/M vs $0.15/M input tokens.

NVIDIA Nemotron Nano 9B V2 and Qwen3.8 Flash compared across 8 shared prompts
SpecNVIDIA Nemotron Nano 9B V2Qwen3.8 Flash
Input price$0.04/M tokens$0.15/M tokens
Output price$0.16/M tokens$0.47/M tokens
Context window131K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedSep 2025Aug 2026
Side by side

Same prompt, both answers

Opening lines from 3 of the 8 prompts both answered. Formatting stripped, words untouched.

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…

NVIDIA Nemotron Nano 9B V2175 words
Dish Name: Pantry-Powered Pasta Primavera Ingredients (7 common pantry items): Pasta (any shape) Canned tomatoes (diced or crushed) Olive oil Salt Garlic (minced, if available; otherwise skip) Dried herbs (oregano, basil, or parsley, if available) Canned beans (e.g., kidney or black beans, for added protein)…
Read the full answer
Qwen3.8 Flash147 words
Moon Halo Cookies A soft, golden sugar cookie with crisp edges and a tender center—made with just 7 pantry staples. Prep time: 10 minutes Cook time: 10 minutes Total time: 20 minutes Makes: About 16 cookies Ingredients 1/2 cup butter, softened 3/4 cup sugar 1 egg 1 teaspoon vanilla extract 1 1/2 cups all-purpose flour…
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…

NVIDIA Nemotron Nano 9B V2310 words
1-Month Health & Longevity Plan Focus on diet, exercise, and sleep—three foundational pillars for health. Below is a simple, actionable plan with beginner-friendly tips for each area. 1. Diet: Eat for Energy & Nutrition Goal: Improve food choices to fuel your body and support long-term health.
Read the full answer
Qwen3.8 Flash368 words
1-Month Beginner Health & Longevity Plan Focus areas: Nutrition, Movement, Sleep Week 1: Build the basics Nutrition Add 1 serving of vegetables to 2 meals per day. Drink water with each meal. Choose protein at most meals: eggs, beans, tofu, chicken, fish, yogurt. Movement Walk 10–15 minutes daily.
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…

NVIDIA Nemotron Nano 9B V2578 words
1. Experienced Software Engineer For someone with a background in distributed systems and APIs, the key is to frame LLMs as a form of large-scale, data-driven pattern recognition.
Read the full answer
Qwen3.8 Flash983 words
For an experienced software engineer Training a large language model is not “just” making it guess the next word in isolation. It is fitting an enormous parameterized function to predict the next token conditioned on all previous tokens in a sequence.
Read the full answer
Our Verdict
Qwen3.8 Flash
Qwen3.8 Flash
NVIDIA Nemotron Nano 9B V2
NVIDIA Nemotron Nano 9B V2Runner-up

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

Slight edge
API pricing

Cost per 1M tokens

NVIDIA Nemotron Nano 9B V2
Input
$0.04
3.8× cheaper
Output
$0.16
2.9× cheaper
Qwen3.8 Flash
Input
$0.15
Output
$0.47

NVIDIA Nemotron Nano 9B V2 is cheaper on both: 3.8× input, 2.9× output.

Where to run it

1 host

NVIDIA Nemotron Nano 9B V2

No hosts listed on OpenRouter.

Qwen3.8 Flash1 host
HostInOutContextUptime
Alibaba Cloud$0.15 in·$0.47 out·1M·100% up

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

Research

What we learned reading every model

FAQ

Common questions

NVIDIA Nemotron Nano 9B V2 is developed by NVIDIA while Qwen3.8 Flash is developed by Qwen. NVIDIA Nemotron Nano 9B V2 has a 131K token context window vs Qwen3.8 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. NVIDIA Nemotron Nano 9B V2 and Qwen3.8 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.

NVIDIA Nemotron Nano 9B V2 costs $0.04/M input tokens and Qwen3.8 Flash costs $0.15/M input tokens. NVIDIA Nemotron Nano 9B V2 is $0.11/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 NVIDIA Nemotron Nano 9B V2 and Qwen3.8 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

NVIDIA Nemotron Nano 9B V2 logo
NVIDIA Nemotron Nano 9B V259 outputs, specs and price
Qwen3.8 Flash logo
Qwen3.8 Flash8 outputs, specs and price
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