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  5. Llama 3.1 70B (Instruct)vsNemotron 3 Nano Omni (free)
Updated Apr 2026

Llama 3.1 70B (Instruct)vsNemotron 3 Nano Omni (free)

Nemotron 3 Nano Omni (free) is cheaper than Llama 3.1 70B (Instruct) at $0/M vs $0.59/M input tokens.

Llama 3.1 70B (Instruct) and Nemotron 3 Nano Omni (free) compared across 17 shared prompts
SpecLlama 3.1 70B (Instruct)Nemotron 3 Nano Omni (free)
Input price$0.59/M tokensFree
Output price$0.79/M tokensFree
Context window128K tokens256K tokens
WeightsOpen—
Free API (OpenRouter)NoYes (1 provider)
ReleasedJul 2024Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 17 prompts both answered. Formatting stripped, words untouched.

Mini LBO Underwrite

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

Llama 3.1 70B (Instruct)336 words
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…
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Nemotron 3 Nano Omni (free)1,246 words
We need to build a simplified year-by-year table FY2026-FY2030. First, compute initial purchase price: EBITDA FY2025 = $120m. Purchase price = 12.0x EBITDA = 12 * 120 = $1,440m (enterprise value). Transaction fees = 2.0% of EV = 0.02 * 1440 = $28.8m, paid at close from equity. Total leverage at close = 5.5x EBITDA.
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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…

Llama 3.1 70B (Instruct)420 words
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.
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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.
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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…

Llama 3.1 70B (Instruct)311 words
Here is a simple recipe for a delicious dish using only 7 common pantry ingredients: Dish Name: "Sunset Crunch Bites" Ingredients: 1 cup rolled oats 1/2 cup peanut butter 1/4 cup honey 1/4 cup chopped peanuts 1/2 teaspoon salt 1/4 teaspoon cinnamon 1/4 cup chocolate chips (semi-sweet) Instructions: Preheat your oven to…
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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…
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

Llama 3.1 70B (Instruct)653 words
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.
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Nemotron 3 Nano Omni (free)2,119 words
“Forest‑Sea Fusion” A Michelin‑3‑Star Plate that Marries the Pine‑Scented Mountains with the Umami‑Rich Ocean Conceptual narrative – The dish tells the story of two opposing forces that finally converge: the dry, resinous pine of the high‑altitude forest (matsutake mushroom) and the deep, briny whisper of the sea…
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Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

Llama 3.1 70B (Instruct)612 words
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.
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Nemotron 3 Nano Omni (free)130 words
We need to list potential failure modes, race conditions, scaling bottlenecks, and propose specific solutions with trade-offs. Must be thorough. Consider WebSocket, load balancer, statelessness, DB writes, replication, polling, timestamp reliance, concurrency, partition tolerance, network partitions, server crashes…
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Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

Llama 3.1 70B (Instruct)744 words
Comprehensive 3-Month Longevity Plan for Biohackers Phase 1 (Weeks 1-4): Optimization and Detoxification Dietary Protocol: Weeks 1-2: Ketogenic Diet (KD) with a macronutrient breakdown of 70% fat, 20% protein, and 10% carbohydrates.
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Nemotron 3 Nano Omni (free)3,140 words
3‑Month “Longevity‑Performance” Blueprint Target: Bio‑hacker (25‑45 y, healthy but wants to maximise lifespan, physical power, and cognitive sharpness). Duration: 12 weeks (≈3 months) – broken into three 4‑week phases. Core Principle: Measure → Optimize → Re‑measure.
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Our Verdict
Llama 3.1 70B (Instruct)
Llama 3.1 70B (Instruct)
Nemotron 3 Nano Omni (free)
Nemotron 3 Nano Omni (free)

Not enough votes to call it. On the specs, nothing separates them.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Llama 3.1 70B (Instruct)
Input
$0.59
Output
$0.79
Nemotron 3 Nano Omni (free)
Input
$0.000
Output
$0.000
Where to run it

3 hosts, cheapest first

Llama 3.1 70B (Instruct)2 hosts
HostInOutContextUptime
DDeepInfrafp8$0.40 in·$0.40 out·131k·96.7% upAmazon Bedrock$0.72 in·$0.72 out·131k·100% up
Nemotron 3 Nano Omni (free)1 host
HostInOutContextUptime
NVIDIAdegraded$0 in·$0 out·256k·77.6% up

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

Research

What we learned reading every model

FAQ

Common questions

Llama 3.1 70B (Instruct) is developed by Meta AI while Nemotron 3 Nano Omni (free) is developed by NVIDIA. Llama 3.1 70B (Instruct) has a 128K token context window vs Nemotron 3 Nano Omni (free)'s 256K. You can compare their actual outputs across 17 challenges on Rival to see how they differ in practice.

It depends on your use case. Llama 3.1 70B (Instruct) and Nemotron 3 Nano Omni (free) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 17 challenges so you can judge which fits your needs best.

Llama 3.1 70B (Instruct) costs $0.59/M input tokens and Nemotron 3 Nano Omni (free) costs $0/M input tokens. Nemotron 3 Nano Omni (free) is $0.59/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 Nano Omni (free) 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

Llama 3.1 70B (Instruct) logo
Llama 3.1 70B (Instruct)56 outputs, specs and price
Nemotron 3 Nano Omni (free) logo
Nemotron 3 Nano Omni (free)17 outputs, specs and price
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