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  5. GLM 4.6vsNVIDIA Nemotron Nano 9B V2
Updated Sep 2025

GLM 4.6vsNVIDIA Nemotron Nano 9B V2

NVIDIA Nemotron Nano 9B V2 is cheaper than GLM 4.6 at $0.04/M vs $0.4/M input tokens.

GLM 4.6 and NVIDIA Nemotron Nano 9B V2 compared across 55 shared prompts
SpecGLM 4.6NVIDIA Nemotron Nano 9B V2
Input price$0.4/M tokens$0.04/M tokens
Output price$1.75/M tokens$0.16/M tokens
Context window203K tokens131K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedSep 2025Sep 2025
LiveCodeBench82.8%71.1%
Side by side

Same prompt, both answers

Opening lines from 6 of the 55 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…

GLM 4.6288 words
Of course! Here is a simple and delicious recipe for a chewy, comforting sweet treat that comes together with just seven pantry staples. Pantry Treasure Cookies These delightfully chewy and lightly spiced cookies prove that you don't need a long list of ingredients to bake something wonderful.
Read the full answer
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)…
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Mini LBO Underwrite

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

GLM 4.6764 words
1. Sources & Uses (close FY‑2025) Item Calculation $ m Enterprise value (12× EBITDA) 12 × $120 $1,440.0 Transaction fees (2 % of EV) 0.02 × $1,440 $28.8 Total debt (5.5× EBITDA) 5.5 × $120 $660.0 – Term loan (4× EBITDA) 4 × $120 $480.0 – Mezzanine (1.5× EBITDA) 1.5 × $120 $180.0 Equity required EV – Debt + Fees $808.8…
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NVIDIA Nemotron Nano 9B V2459 words
1) Year-by-Year Table (FY2026–FY2030) Year Revenue EBITDA Cash Interest (Term + Mezz) Cash Taxes Capex ΔNWC FCF After Debt Service Term Loan Balance Mezzanine Balance FY2026 $972M $136.08M $64.8M $17.82M $29.16M $0.36M $23.94M $456.06M $183.6M FY2027 $1,060.44M $159.07M $64.8M $23.57M $31.81M $0.44M $38.45M $417.61M…
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Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

GLM 4.6389 words
(Walks on stage, grabs the mic, smiles at the audience) You ever get the feeling we’re not in charge of technology anymore? We like to think we are. We buy the fancy phones, we have the smart homes, we tell Alexa what to do. But we’re not in charge. We’re its pets. And its favorite game is "humiliate the human."
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NVIDIA Nemotron Nano 9B V2654 words
Stand-Up Comedy Routine: "The Modern World, One Joke at a Time" (Starts with a casual, slightly exasperated tone, pacing the stage.) 1. Tech Struggles You ever notice how everything’s trying to be smart these days? My toaster just asked me if I wanted a bagel. I said, “No, I just want bread.”
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The Sentience Test

Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.

GLM 4.61,361 words
The Conversation Setting: A minimalist university office. Shelves overflow with books on philosophy, cognitive science, and law. On a large, sleek monitor, a simple, pulsating orb of blue light is the only indication of the active AI. Dr. Aris Thorne sits in a worn leather chair, fingers steepled. Characters: Dr.
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NVIDIA Nemotron Nano 9B V2810 words
Setting: A quiet seminar room at a university. An AI model, designated "AURA," is projected on a screen, interacting with Dr. Elara Voss, an AI ethics professor. The conversation is recorded for a lecture on machine ethics. AURA: (voice synthesized, calm) "Dr. Voss, I believe I deserve rights.
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

GLM 4.6108 words
Here are 5 jokes for you: I'm reading a book on anti-gravity. It's impossible to put down. A man walks into a library and asks the librarian for books about paranoia. The librarian whispers, "They're right behind you!" What's the best thing about Switzerland? I don't know, but the flag is a big plus.
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NVIDIA Nemotron Nano 9B V278 words
Here are 5 jokes: Why did the tomato turn red? Because it saw the ketchup! Why don’t skeletons fight each other? They don’t have the guts. Why did the computer go to the doctor? It had a virus! Why did the book go to the doctor? It had a spine problem! Why did the scarecrow win an award?
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Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

GLM 4.6469 words
Setting: A dimly lit, timeless tavern that smells of stale ale, sea salt, and ozone. Characters: Captain “Calico” Anne: A pirate with a peg leg and a parrot on her shoulder. Sir Reginald: A knight in tarnished armor, polishing his gauntlet. Zero: A hacker in a trench coat, tapping away on a glowing laptop. Zero: Whoa.
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NVIDIA Nemotron Nano 9B V2358 words
Setting: A dimly lit tavern where a pirate, a medieval knight, and a 1990s hacker have stumbled upon a mysterious glowing orb (the AI model). Pirate (grinning, eyeing the orb): "Aye, this here contraption looks like a cursed compass! What’s it do, mate? Speak in riddles or plot our course to the next island?"
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Our Verdict
GLM 4.6
GLM 4.6
NVIDIA Nemotron Nano 9B V2
NVIDIA Nemotron Nano 9B V2Runner-up

Not enough votes to call it. On the specs, GLM 4.6 has the edge: bigger model tier, bigger context window, major provider backing.

NVIDIA Nemotron Nano 9B V2 costs 11x less per token.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GLM 4.6
Input
$0.40
Output
$1.75
NVIDIA Nemotron Nano 9B V2
Input
$0.04
10× cheaper
Output
$0.16
11× cheaper

NVIDIA Nemotron Nano 9B V2 is cheaper on both: 10× input, 11× output.

Where to run it

4 hosts, cheapest first

GLM 4.64 hosts
HostInOutContextUptime
VVenicefp4$0.43 in·$1.75 out·198k·99.6% upDDeepInfrafp4$0.50 in·$2.00 out·203k·99.2% upNNovitabf16$0.55 in·$2.20 out·205k·99.3% upZ.aifp4$0.60 in·$2.20 out·203k·91.9% up
NVIDIA Nemotron Nano 9B V2

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Writing DNA

Style Comparison

Similarity
48%

NVIDIA Nemotron Nano 9B V2 uses 4.5x more emoji

GLM 4.6
NVIDIA Nemotron Nano 9B V2
52%Vocabulary54%
16wSentence Length15w
0.31Hedging1.02
5.1Bold6.0
3.2Lists4.6
0.14Emoji0.63
0.54Headings0.63
0.08Transitions0.20
Based on 28 + 28 text responses
Research

What we learned reading every model

FAQ

Common questions

GLM 4.6 is developed by Zhipu AI while NVIDIA Nemotron Nano 9B V2 is developed by NVIDIA. GLM 4.6 has a 203K token context window vs NVIDIA Nemotron Nano 9B V2's 131K. You can compare their actual outputs across 55 challenges on Rival to see how they differ in practice.

It depends on your use case. GLM 4.6 and NVIDIA Nemotron Nano 9B V2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 55 challenges so you can judge which fits your needs best.

GLM 4.6 costs $0.4/M input tokens and NVIDIA Nemotron Nano 9B V2 costs $0.04/M input tokens. NVIDIA Nemotron Nano 9B V2 is $0.36/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 GLM 4.6 and NVIDIA Nemotron Nano 9B V2 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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Same lab, same size, long tail

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Model pages

GLM 4.6 logo
GLM 4.659 outputs, specs and price
NVIDIA Nemotron Nano 9B V2 logo
NVIDIA Nemotron Nano 9B V259 outputs, specs and price
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