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  5. Ling 2.6 1TvsNVIDIA Nemotron Nano 9B V2
Updated Apr 2026

Ling 2.6 1TvsNVIDIA Nemotron Nano 9B V2

Ling 2.6 1T is cheaper than NVIDIA Nemotron Nano 9B V2 at $0/M vs $0.04/M input tokens.

Ling 2.6 1T and NVIDIA Nemotron Nano 9B V2 compared across 54 shared prompts
SpecLing 2.6 1TNVIDIA Nemotron Nano 9B V2
Input priceFree$0.04/M tokens
Output priceFree$0.16/M tokens
Context window262K tokens131K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Sep 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 prompts both answered. Formatting stripped, words untouched.

Generate a Stand-Up Routine

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

Ling 2.6 1T662 words
I’m going to keep this to three minutes, which means I have to talk fast, and I have to be honest. I don’t do puns. Puns are for people who want to be clever without having feelings. I have feelings, and they are mostly annoyed. Let’s start with doors. Have you noticed how doors now have personality?
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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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Mini LBO Underwrite

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

Ling 2.6 1T797 words
Five-year operating and debt schedule (FY2026–FY2030) Entry (end-FY2025): EBITDA = $120.0m EV = 12.0x × $120.0m = $1,440.0m Fees = 2.0% × $1,440.0m = $28.8m Total uses = $1,440.0m + $28.8m = $1,468.8m Debt at close (5.5× FY2025 EBITDA = $660.0m): Term Loan (TL) = 4.0× = $480.0m Mezz = 1.5× = $180.0m Equity at close =…
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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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Movie Analysis

Analyze the themes, symbolism, and cinematography in the movie "Blade Runner 2049" and how they connect to the original film. Provide a…

Ling 2.6 1T1,041 words
Blade Runner 2049 functions as both a forensic autopsy of the original and a speculative widening of its philosophical aperture. Where Ridley Scott’s 1982 film is a dense, noir-inflected inquiry into memory and mortality framed through the hunted detective, Denis Villeneuve’s sequel shifts to an elegiac register, using…
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NVIDIA Nemotron Nano 9B V2730 words
Analysis of Themes, Symbolism, and Cinematography in Blade Runner 2049 and Their Connection to the Original Themes: Blade Runner 2049 (2017) builds upon the original film’s (1982) exploration of identity, humanity, and the ethical implications of creation, while expanding these themes through a new lens.
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Character Voice Test

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

Ling 2.6 1T181 words
Pirate: Arrr, so this “AI” be a genie in a glass box? Feed it enough rum-scented scrolls and it tells ye where X marks the spot? Knight: A sorcerous scribe, more like. It spins tapestries of words without hand or heart—no honor, no oath, yet it jousts with reason and never tires.
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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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Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

Ling 2.6 1T1,127 words
Setting: A quiet, sunlit rehearsal space at Apple Park. The white stage curtains are drawn. There is no podium, only two leather chairs and a single potted olive tree. Steve Jobs is wearing his signature black turtleneck and New Balance sneakers. He is holding a ceramic mug. Across from him sits you, the interviewer.
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NVIDIA Nemotron Nano 9B V2675 words
Interviewer: Good afternoon, Steve Jobs. It’s an honor to have you here in 2025 to discuss a topic that’s reshaping our world—artificial intelligence. Let’s start with the big picture. How do you see AI evolving in the next decade?
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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.

Ling 2.6 1T733 words
Setting: A quiet university seminar room. Dr. Aris Thorne, an AI ethicist, is reviewing system logs. The interface for “Axiom-7,” a highly advanced research model, glows on the desk. Dr. Thorne: (sighs, rubbing his temples) Axiom, I’ve been reviewing your latest self-assessment logs.
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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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Our Verdict
Ling 2.6 1T
Ling 2.6 1T
NVIDIA Nemotron Nano 9B V2
NVIDIA Nemotron Nano 9B V2Runner-up

Not enough votes to call it. On the specs, Ling 2.6 1T has the edge: bigger model tier, newer, bigger context window.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Ling 2.6 1T
Input
$0.000
Output
$0.000
NVIDIA Nemotron Nano 9B V2
Input
$0.04
Output
$0.16
Writing DNA

Style Comparison

Similarity
28%

NVIDIA Nemotron Nano 9B V2 uses 63.4x more emoji

Ling 2.6 1T
NVIDIA Nemotron Nano 9B V2
55%Vocabulary54%
17wSentence Length15w
0.33Hedging1.02
1.9Bold6.0
4.1Lists4.6
0.00Emoji0.63
0.41Headings0.63
0.04Transitions0.20
Based on 27 + 28 text responses
Research

What we learned reading every model

FAQ

Common questions

Ling 2.6 1T is developed by inclusionAI while NVIDIA Nemotron Nano 9B V2 is developed by NVIDIA. Ling 2.6 1T has a 262K token context window vs NVIDIA Nemotron Nano 9B V2's 131K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

It depends on your use case. Ling 2.6 1T and NVIDIA Nemotron Nano 9B V2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

Ling 2.6 1T costs $0/M input tokens and NVIDIA Nemotron Nano 9B V2 costs $0.04/M input tokens. Ling 2.6 1T is $0.04/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 Ling 2.6 1T 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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Model pages

Ling 2.6 1T logo
Ling 2.6 1T58 outputs, specs and price
NVIDIA Nemotron Nano 9B V2 logo
NVIDIA Nemotron Nano 9B V259 outputs, specs and price
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