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  5. Nemotron 3 Nano Omni (free)vsQwen3.8 2.4T A95B
Updated Aug 2026

Nemotron 3 Nano Omni (free)vsQwen3.8 2.4T A95B

Nemotron 3 Nano Omni (free) is cheaper than Qwen3.8 2.4T A95B at $0/M vs $2/M input tokens.

Nemotron 3 Nano Omni (free) and Qwen3.8 2.4T A95B compared across 17 shared prompts
SpecNemotron 3 Nano Omni (free)Qwen3.8 2.4T A95B
Input priceFree$2/M tokens
Output priceFree$6/M tokens
Context window256K tokens1.0M tokens
Weights—Open
Free API (OpenRouter)Yes (1 provider)No
ReleasedApr 2026Aug 2026
Side by side

Same prompt, both answers

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

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…

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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Qwen3.8 2.4T A95B2,994 words
Cliff Nest Koji-Aged Squab, Sea Urchin, Rhubarb, Black Garlic Yield: 4 tasting portions Style: Contemporary fine-dining main course Key unusual pairing: Koji-aged pigeon/squab with sea urchin, bridged by rhubarb acidity and black-garlic depth Conceptual Narrative Cliff Nest imagines a coastal nesting site in early…
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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…

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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Qwen3.8 2.4T A95B3,715 words
The architecture as written has several P0 correctness problems that can cause lost edits, divergent documents, and security/staleness issues, plus scaling bottlenecks that get worse as you add more API servers. Below is a detailed failure-mode review, grouped by category.
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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…

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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Qwen3.8 2.4T A95B166 words
Lighthouse Lemon-Garlic Tuna Pasta A savory, pantry-friendly pasta that’s bright, garlicky, and satisfying. 7 Pantry Ingredients 8 oz spaghetti or linguine 3 tablespoons olive oil 3 garlic cloves, thinly sliced 2 cans tuna, drained 2 tablespoons lemon juice ½ teaspoon red pepper flakes ½ teaspoon salt Water for boiling…
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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) –…

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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Qwen3.8 2.4T A95B892 words
Entry capitalization All figures in $m unless noted. FY2025 EBITDA = $120.0 Entry EV = 12.0x × $120.0 = $1,440.0 Transaction fees = 2.0% × $1,440.0 = $28.8 Term Loan = 4.0x × $120.0 = $480.0 Mezzanine = 1.5x × $120.0 = $180.0 Equity = EV + fees – debt = $1,440.0 + $28.8 – $660.0 = $808.8 Sources & Uses Uses $m Sources…
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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…

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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Qwen3.8 2.4T A95B4,865 words
Premise: what changes, and what does not Assume the transistor is invented in 1920 in a form roughly comparable to the late-1940s germanium point-contact or early junction transistor: it can amplify, detect, and switch signals, but it is initially expensive, low-yield, low-power, and limited in frequency.
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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…

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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Qwen3.8 2.4T A95B1,779 words
12-Week “Longevity + Performance” Biohacker Protocol Goal: improve healthspan markers, metabolic flexibility, strength, VO₂max, sleep, stress resilience, and cognitive output over 3 months. Important: This is an educational, high-level biohacking framework—not medical advice. It is not appropriate for everyone.
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Our Verdict
Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B
Nemotron 3 Nano Omni (free)
Nemotron 3 Nano Omni (free)Runner-up

Not enough votes to call it. On the specs, Qwen3.8 2.4T A95B 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

Nemotron 3 Nano Omni (free)
Input
$0.000
Output
$0.000
Qwen3.8 2.4T A95B
Input
$2.00
Output
$6.00
Where to run it

8 hosts

Nemotron 3 Nano Omni (free)1 host
HostInOutContextUptime
NVIDIAdegraded$0 in·$0 out·256k·77.6% up
Qwen3.8 2.4T A95B7 hosts
HostInOutContextUptime
Alibaba Cloud$2.00 in·$6.00 out·1M·99.9% upDDeepInfrafp4$2.00 in·$6.00 out·262k·99.9% upModal$2.00 in·$6.00 out·1M·100% upNNovita$2.00 in·$6.00 out·1M·99.9% upSSiliconFlowfp8$2.00 in·$6.00 out·1M·100% upTTogether$2.00 in·$6.00 out·1M·100% up
1 more hostFewer hosts
VVenice$2.00 in·$6.00 out·262k·96.7% up

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

Research

What we learned reading every model

FAQ

Common questions

Nemotron 3 Nano Omni (free) is developed by NVIDIA while Qwen3.8 2.4T A95B is developed by Qwen. Nemotron 3 Nano Omni (free) has a 256K token context window vs Qwen3.8 2.4T A95B's 1.0M. You can compare their actual outputs across 17 challenges on Rival to see how they differ in practice.

It depends on your use case. Nemotron 3 Nano Omni (free) and Qwen3.8 2.4T A95B 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.

Nemotron 3 Nano Omni (free) costs $0/M input tokens and Qwen3.8 2.4T A95B costs $2/M input tokens. Nemotron 3 Nano Omni (free) is $2.00/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 Nemotron 3 Nano Omni (free) and Qwen3.8 2.4T A95B 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

Nemotron 3 Nano Omni (free) logo
Nemotron 3 Nano Omni (free)17 outputs, specs and price
Qwen3.8 2.4T A95B logo
Qwen3.8 2.4T A95B58 outputs, specs and price
Rival
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Explore all of Rival

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