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  5. DeepSeek V3.1vsNemotron 3 Nano Omni (free)
Updated Apr 2026

DeepSeek V3.1vsNemotron 3 Nano Omni (free)

Nemotron 3 Nano Omni (free) is cheaper than DeepSeek V3.1 at $0/M vs $0.2/M input tokens.

DeepSeek V3.1 and Nemotron 3 Nano Omni (free) compared across 17 shared prompts
SpecDeepSeek V3.1Nemotron 3 Nano Omni (free)
Input price$0.2/M tokensFree
Output price$0.8/M tokensFree
Context window164K tokens256K tokens
WeightsOpen—
Free API (OpenRouter)NoYes (1 provider)
ReleasedAug 2025Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 17 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…

DeepSeek V3.1354 words
Of course! Here is a simple, delicious recipe using common pantry staples. Pantry Perfection Pasta This dish is a celebration of simplicity. The humble can of chickpeas is transformed into a crispy, savory topping, while a silky, garlic-infused oil coats the pasta for a meal that feels luxurious but is incredibly easy…
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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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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…

DeepSeek V3.1824 words
Of course. Here is a simple, actionable 1-month plan focused on three foundational pillars of health: Nutrition, Movement, and Recovery (which encompasses sleep and stress management). This plan is designed for a beginner, emphasizing consistency over perfection and building sustainable habits.
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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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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

DeepSeek V3.11,370 words
Of course. This is a fascinating counterfactual. An invention as foundational as the transistor arriving 27 years earlier would have sent shockwaves through every aspect of human society. Here is a detailed trace of the likely implications, focusing on second and third-order effects.
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Nemotron 3 Nano Omni (free)2,564 words
Premise – The point‑contact transistor is invented in 1920 (instead of 1947) and quickly becomes a reliable, reproducible solid‑state amplifier. By the mid‑1920s a handful of laboratories are already producing germanium‑based devices, and by the early 1930s a modest “transistor industry” exists, albeit with low yields…
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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…

DeepSeek V3.11,374 words
Of course. Here is a comprehensive, cutting-edge 3-month longevity plan designed for a dedicated biohacker. This plan is aggressive, detailed, and incorporates the latest principles from longevity science, performance optimization, and systems biology. Disclaimer: This is an advanced protocol.
Read the full answer
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.
Read the full answer

Debug This Architecture

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

DeepSeek V3.11,333 words
Of course. This is an excellent exercise. The proposed architecture has several critical flaws that would lead to data loss, poor performance, and a broken user experience. Here is a detailed breakdown of the failure modes, race conditions, and bottlenecks, along with specific solutions and their trade-offs.
Read the full answer
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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Mini LBO Underwrite

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

DeepSeek V3.1732 words
Of course. Here is the underwriting analysis for the HarborTech Services LBO. Financial Model (FY2026–FY2030) Entry Calculations: FY2025 EBITDA = $120.0m Enterprise Value (EV) at Entry = 12.0 x $120.0m = $1,440.0m Transaction Fees (Uses) = 2.0% x $1,440.0m = $28.8m Total Debt at Close = 5.5 x $120.0m = $660.0m Term…
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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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Our Verdict
DeepSeek V3.1
DeepSeek V3.1
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

DeepSeek V3.1
Input
$0.20
Output
$0.80
Nemotron 3 Nano Omni (free)
Input
$0.000
Output
$0.000
Where to run it

9 hosts, cheapest first

DeepSeek V3.18 hosts
HostInOutContextUptime
DDeepInfrafp4$0.25 in·$0.95 out·164k·99.9% upNNovitafp8$0.27 in·$1.00 out·131k·100% upAAtlasCloudfp8$0.30 in·$0.95 out·131k·98.8% upCCoreWeavefp8$0.55 in·$1.65 out·161k·100% upMMara$0.60 in·$1.70 out·131k·96.9% upSSambaNovafp8$0.65 in·$1.50 out·131k·99.6% up
2 more hostsFewer hosts
SSiliconFlowfp8degraded$0.27 in·$1.00 out·164k·97.9% upGoogle Vertex AIdegraded$0.60 in·$1.70 out·164k·0% 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

DeepSeek V3.1 is developed by DeepSeek while Nemotron 3 Nano Omni (free) is developed by NVIDIA. DeepSeek V3.1 has a 164K 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. DeepSeek V3.1 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.

DeepSeek V3.1 costs $0.2/M input tokens and Nemotron 3 Nano Omni (free) costs $0/M input tokens. Nemotron 3 Nano Omni (free) is $0.20/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 DeepSeek V3.1 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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DeepSeek V3.154 outputs, specs and price
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