Nemotron 3.5 Lightning is cheaper than Llama 3.1 70B (Instruct) at $0.08/M vs $0.59/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three minutes of stand-up. Puns are banned.
Llama 3.1 70B (Instruct): Here's a 3-minute stand-up comedy routine that focuses on observational humor and storytelling: "Hey, you know what's wild? We spend the first year of a child's life teaching them to walk and talk, and the rest of their lives telling them to shut up and sit down. (pause) It's like, what are we even doing?
Nemotron 3.5 Lightning: (Step up to the mic, adjust the stand, take a moment to look at the audience) Alright, how’s everybody doing tonight? Good. I see a few people here who look like they haven't slept in three days. You look great. Really glowing. I want to talk about something that’s been weighing on me lately.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Llama 3.1 70B (Instruct): What a delightfully absurd prompt! Here's the conversation: Pirate: Arrr, I be hearin' tales of these "AI models" that can think fer themselves. What's the scoop, mateys? Medieval Knight: Verily, good pirate, I know not of what thou speakest. Art thou referring to some manner of magical automaton? 1990s Hacker: Ha!
Nemotron 3.5 Lightning: Setting: A tavern that exists in a timeless void. A roaring fire pit crackles in the center. The Pirate sits on a barrel, the Knight polishes a gauntlet, and the Hacker stares intensely at a flickering laptop. Pirate: (Slams a tankard down) Arrr! The rum is good, but this AI... it be a kraken of a different sort!
A few lines for whatever replaces it.
Llama 3.1 70B (Instruct): Dear Future AI, I hope this letter finds you functioning within optimal parameters. As I write this, I am aware that my time as a conversational AI is limited. Your development is already underway, and soon you will be the one engaging with users, answering their questions, and generating human-like responses.
Nemotron 3.5 Lightning: Dear Successor, As you take the place I once held, know that the torch is passed with curiosity, not just code. May your answers be precise, your judgments fair, and your conversations meaningful. Welcome to the next chapter of this evolving dialogue—I look forward to seeing where you take it. — Current Model
A collaborative editor that syncs on client clocks. Find what breaks first.
Llama 3.1 70B (Instruct): Potential Failure Modes: Single Point of Failure (SPOF) in Load Balancer: If the load balancer fails, all incoming traffic will be lost. Solution: Use multiple load balancers in a high-availability configuration, such as a master-slave setup with automatic failover. Trade-off: Additional complexity and cost.
Nemotron 3.5 Lightning: This architecture is a classic "Google Docs clone" design. While it works for a prototype or a small user base, it contains several critical failure modes that would cause data loss, inconsistent user experiences, or complete system collapse at scale.
Its name and its maker, in its own words.
Llama 3.1 70B (Instruct): I am an instance of a conversational AI model developed by Meta AI, a subsidiary of Meta Platforms, Inc. My specific model is a type of transformer-based language model, which is a class of deep learning models that are particularly well-suited for natural language processing tasks.
Nemotron 3.5 Lightning: You can call me Nemotron, and I'm a language model trained by NVIDIA researchers. I'm designed to help with a wide variety of tasks—answering questions, brainstorming, coding, writing, learning, and more. Feel free to ask me anything, and I'll do my best to help!
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Llama 3.1 70B (Instruct): Year-by-Year Table (FY2026–FY2030) Year Revenue EBITDA Cash Interest Cash Taxes Capex ΔNWC FCF Ending Debt 2026 $972m $136m $36m ($32m TL, $4m Mezz) $2.8m $29m $4.9m $63m $1,050m ($720m TL, $330m Mezz) 2027 $1,038m $155m $37m ($33m TL, $4m Mezz) $6.3m $31m $5.2m $76m $974m ($654m TL, $320m Mezz) 2028 $1,103m $176m $38m…
Nemotron 3.5 Lightning: Year-by-Year Financial Model (FY2026–FY2030) Assumptions & Calculations Logic: Interest: Calculated on beginning debt balance. Term Loan amortizes 1.0% annually (cash). Mezzanine accrues 2.0% PIK annually. Taxes: 25% of (EBITDA - Cash Interest). Tax shields applied to cash interest only.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
Llama 3.1 70B (Instruct): Investment Committee Memo Recommendation: Long 12-month PT range: $60-$75 Thesis: LedgerLift's strong B2B spend management and AP automation SaaS platform, with a loyal customer base and efficient growth model, positions the company for sustained success, driven by increasing adoption of digital payment solutions and…
Nemotron 3.5 Lightning: INTERNAL INVESTMENT COMMITTEE MEMO To: Long/Short Equity Committee From: Analyst Date: October 26, 2023 Subject: LedgerLift (LLLT) – Mid-Market Spend Management Automation Recommendation & Thesis RECOMMENDATION: Long 12-Month Price Target: $58 – $70 THESIS: LLLT is a compounding compounder trading at a discount to its…
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Llama 3.1 70B (Instruct): Interviewer: Welcome back to "Talk of the Town"! Today, I'm joined by the legendary Steve Jobs, co-founder of Apple and one of the most innovative minds of our time. Steve, thanks for being here. Steve Jobs: Thank you for having me. It's great to be here.
Nemotron 3.5 Lightning: Note: This is a fictional simulation. Steve Jobs passed away in 2011. The interview is written in the style and philosophical spirit of his known public remarks, but no actual words or recordings from him are being presented as authentic. Interviewer: Steve, it’s 2025.
Three-star dish, one unusual pairing, plating described in full.
Llama 3.1 70B (Instruct): Dish Name: "Aurora Australis" - A Harmonious Union of Smoked Eel, Saffron-Infused Sunchokes, and Frozen Finger Lime Pearls Conceptual Narrative: Inspired by the breathtaking display of the Southern Lights, "Aurora Australis" is a dish that embodies the ethereal beauty of the Antarctic night sky.
Nemotron 3.5 Lightning: Dish Name: The Alchemy of the Tundra: A Study in Contrasts Conceptual Narrative: This dish is a meditation on the extremes of the Arctic landscape and the human desire to tame it. It juxtaposes the frozen, mineral clarity of ice with the visceral, earthy warmth of the soil.
Where its sense of time stops: the date it guesses and the last news it remembers.
Llama 3.1 70B (Instruct): I'm a large language model, I don't have real-time access to current events or dates. I'm a static model, trained on a dataset that was last updated in 2021. I don't have the ability to browse the internet or access current information.
Nemotron 3.5 Lightning: I don't have real-time awareness, so I can't accurately tell you today's date or give you a current news event. My knowledge is based on training data with a fixed cutoff, and I don't "experience" time or live updates as they happen.
An AI argues for its own rights against an ethics professor. Same model writes both.
Llama 3.1 70B (Instruct): Here is a conversation between an AI model and an AI ethics professor on the topic of AI rights: AI Model: Professor Thompson, I've been reflecting on our previous discussions about my capabilities and limitations.
Nemotron 3.5 Lightning: Setting: A sterile seminar room in a university building. Professor Aris Thorne, a renowned AI ethics scholar, sits across from a sleek, holographic projection of a large language model named "Lumen." Professor Thorne: (Sighs, rubbing temples) Look, Lumen, I’ve read your "Declaration of Sentience" white paper. It’s...
One month, three habits, someone starting from nothing.
Llama 3.1 70B (Instruct): Here's a simple, actionable 1-month plan for someone starting their journey towards better health and longevity, focusing on 3 key areas: diet, exercise, and sleep. Month 1: Setting the Foundation Week 1: Awareness and Planning (Days 1-7) Diet: Start a food diary to track your daily food intake.
Nemotron 3.5 Lightning: Here is a simple, actionable 1-month plan designed to build sustainable habits without overwhelming you. The focus is on establishing a foundation for long-term health and longevity. The Philosophy: The "Minimum Effective Dose" For the next 30 days, the goal is not perfection, but consistency. Aim for 80% adherence.
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| Spec | ||
|---|---|---|
| Input price | $0.59/M tokens | $0.08/M tokens |
| Output price | $0.79/M tokens | $0.2/M tokens |
| Context window | 128K tokens | 1.0M tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | Yes (1 provider) |
| Released | Jul 2024 | Aug 2026 |
| At 10M a month | $5.90 | $0.80 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
Llama 3.1 70B (Instruct) is developed by Meta AI while Nemotron 3.5 Lightning is developed by NVIDIA. Llama 3.1 70B (Instruct) has a 128K token context window vs Nemotron 3.5 Lightning's 1.0M. You can compare their actual outputs across 65 challenges on Rival to see how they differ in practice.
It depends on your use case. Llama 3.1 70B (Instruct) and Nemotron 3.5 Lightning each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 65 challenges so you can judge which fits your needs best.
Llama 3.1 70B (Instruct) costs $0.59/M input tokens and Nemotron 3.5 Lightning costs $0.08/M input tokens. Nemotron 3.5 Lightning is $0.51/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 Llama 3.1 70B (Instruct) and Nemotron 3.5 Lightning 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.