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  5. Grok 4.7vsNemotron 3.5 Lightning
Updated Sep 2026

Grok 4.7vsNemotron 3.5 Lightning

Nemotron 3.5 Lightning is cheaper than Grok 4.7 at $0.08/M vs $1.6/M input tokens.

Grok 4.7 and Nemotron 3.5 Lightning compared across 10 shared prompts
SpecGrok 4.7Nemotron 3.5 Lightning
Input price$1.6/M tokens$0.08/M tokens
Output price$4.8/M tokens$0.2/M tokens
Context window500K tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoYes (1 provider)
ReleasedSep 2026Aug 2026
Side by side

Same prompt, both answers

Opening lines from 5 of the 10 prompts both answered. Formatting stripped, words untouched.

Debug This Architecture

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

Grok 4.71,399 words
This design will lose edits, split users into inconsistent views, and fall over under concurrent writing. The core problems are clock-based conflict resolution, per-server WebSocket fan-out, polling as the sync path, and treating documents as full HTML snapshots.
Read the full answer
Nemotron 3.5 Lightning1,273 words
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.
Read the full answer

Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

Grok 4.7599 words
Three weakest claims 1. “Predict what you want to type before you think it” (Slide 1) This is scientifically incoherent, not just ambitious. Non-invasive EEG decodes neural activity that is already underway (motor imagery, attempted speech, attention).
Read the full answer
Nemotron 3.5 Lightning971 words
Here are the three weakest claims in the MindMeld AI pitch deck, analyzed for their logical gaps and factual weaknesses, along with suggestions for strengthening them. The "94% Accuracy" Claim (Slide 3) The Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy."
Read the full answer

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…

Grok 4.7129 words
Pantry Gold Honey Biscuits A sweet, buttery, slightly salty biscuit that tastes like it took more effort than it did. Ingredients (7) 2 cups all-purpose flour 1 tbsp baking powder ½ tsp salt ¼ cup sugar ½ cup butter (cold) ¾ cup milk 2 tbsp honey Time: about 10 minutes prep, 12–15 minutes bake Instructions Heat the…
Read the full answer
Nemotron 3.5 Lightning316 words
Dish Name: The "Lazy" 5-Minute Crispy Pancake Pizza Concept: A quick, savory breakfast or snack that feels like a gourmet pizza but uses pantry staples. It relies on the magic of a simple batter to create a crispy base.
Read the full answer

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…

Grok 4.7442 words
1-month beginner plan for better health and longevity Focus on three foundations: nutrition, movement, and sleep. Aim for consistency over perfection. If you have a medical condition, check with a clinician before big changes. Week-by-week rhythm Week 1: Build awareness and one easy habit in each area.
Read the full answer
Nemotron 3.5 Lightning896 words
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.
Read the full answer

Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

Grok 4.71,173 words
1. Experienced software engineer An LLM is a stateless function from a token sequence to a probability distribution over the next token. Training is a giant batch job: you stream text, run a forward pass, compare the predicted distribution to the actual next token with cross-entropy, and push gradients through billions…
Read the full answer
Nemotron 3.5 Lightning1,103 words
For the Experienced Software Engineer You’re used to debugging race conditions and optimizing latency; the idea that an LLM is "just predicting the next word" feels like a cop-out, especially when the output can be eerily coherent.
Read the full answer
Our Verdict
Grok 4.7
Grok 4.7
Nemotron 3.5 Lightning
Nemotron 3.5 LightningRunner-up

Not enough votes to call it. On the specs, Grok 4.7 has the edge: bigger model tier, newer, major provider backing.

Nemotron 3.5 Lightning costs 24x less per token.

Too close to call
API pricing

Cost per 1M tokens

Grok 4.7
Input
$1.60
Output
$4.80
Nemotron 3.5 Lightning
Input
$0.08
20× cheaper
Output
$0.20
24× cheaper

Nemotron 3.5 Lightning is cheaper on both: 20× input, 24× output.

Where to run it

5 hosts, cheapest first

Grok 4.71 host
HostInOutContextUptime
xAI$1.60 in·$4.80 out·500k·98.9% up
Nemotron 3.5 Lightning4 hosts
HostInOutContextUptime
DDarkbloomint4$0.07 in·$0.18 out·262k·99.9% upCCoreWeavebf16$0.07 in·$0.20 out·262k·99.1% upPPhala$0.07 in·$0.20 out·262k·99.8% upDDeepInfrabf16$0.08 in·$0.20 out·262k·99.8% up

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

Research

What we learned reading every model

FAQ

Common questions

Grok 4.7 is developed by xAI while Nemotron 3.5 Lightning is developed by NVIDIA. Grok 4.7 has a 500K token context window vs Nemotron 3.5 Lightning's 1.0M. You can compare their actual outputs across 10 challenges on Rival to see how they differ in practice.

It depends on your use case. Grok 4.7 and Nemotron 3.5 Lightning each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 10 challenges so you can judge which fits your needs best.

Grok 4.7 costs $1.6/M input tokens and Nemotron 3.5 Lightning costs $0.08/M input tokens. Nemotron 3.5 Lightning is $1.52/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 Grok 4.7 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.

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Model pages

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