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  5. GPT-6 Luna ProvsGranite 4.2 8B
Updated Sep 2026

GPT-6 Luna ProvsGranite 4.2 8B

GPT-6 Luna Pro has a larger context window than Granite 4.2 8B (1.1M tokens vs 131K tokens).

GPT-6 Luna Pro and Granite 4.2 8B compared across 20 shared prompts
SpecGPT-6 Luna ProGranite 4.2 8B
Input price$0.1/M tokens$0.1/M tokens
Output price$0.5/M tokens$0.15/M tokens
Context window1.1M tokens131K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Aug 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 20 prompts both answered. Formatting stripped, words untouched.

Advanced Longevity Plan (Biohacker)

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

GPT-6 Luna Pro2,057 words
12-week longevity and performance plan This is a structured starting plan for a generally healthy adult—not a diagnosis or a substitute for medical care. The best longevity interventions are still the unglamorous ones: not smoking, regular exercise, adequate sleep, a high-quality diet, healthy blood pressure and…
Read the full answer
Granite 4.2 8B4,843 words
Important Safety & Ethical Disclaimer (MUST READ BEFORE USING ANY PART OF THIS PLAN): *This plan is a structured, evidence-informed framework for a typically healthy adult biohacker (no active cancer, uncontrolled cardiovascular disease, severe endocrine disorders, pregnancy, breastfeeding, or recent major surgery).
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…

GPT-6 Luna Pro327 words
A simple 1-month plan for better health and longevity Choose three foundations: eating well, moving regularly, and sleeping consistently. Aim for steady habits, not perfection. Diet: Make nourishing choices easier Week 1: Add one serving of fruit or vegetables to one meal each day.
Read the full answer
Granite 4.2 8B532 words
(Simple, actionable, no jargon, no perfectionism—focus on one tiny habit per week per area. Total time commitment ≤30 mins/week total. Written as clear "Do this" steps. No supplements, no special equipment, no counting calories/macros. Prioritizes consistency over intensity.)
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…

GPT-6 Luna Pro1,906 words
The main architectural risk is that this design treats collaborative editing as ordinary “last write wins” data storage. It is not: edits need a well-defined order, reliable propagation, and a conflict model that preserves concurrent work.
Read the full answer
Granite 4.2 8B3,811 words
Comprehensive Failure Mode, Race Condition, and Scaling Bottleneck Analysis (Based strictly on the provided architecture description; no assumptions beyond it. All issues are identified directly from the stated design. Solutions are specific, actionable, and include realistic trade-offs.
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…

GPT-6 Luna Pro892 words
For an experienced software engineer Think of a language model as a system trained to continue sequences: given a prefix of text, it assigns probabilities to possible next tokens (tokens are pieces of words, not necessarily whole words) and learns to make the observed continuation likely.
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Granite 4.2 8B2,367 words
For the experienced software engineer (distributed systems/APIs background; skeptical of "predicting next words" producing intelligence) You’re right to be skeptical—calling it "predicting the next word" sounds trivial, and if it were just a naive lookup or fixed rule, it wouldn’t work reliably across diverse queries.
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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…

GPT-6 Luna Pro127 words
Golden Pantry Pancakes Fluffy, lightly sweet pancakes made with everyday staples. Makes: About 6 small pancakes Prep time: 5 minutes Cook time: 10 minutes Ingredients 1 cup all-purpose flour 1 cup milk 1 egg 2 tablespoons sugar 1 teaspoon baking powder ¼ teaspoon salt 2 tablespoons butter, melted (plus a little for the…
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Granite 4.2 8B587 words
Dish Name: Sunset Black Bean Rice Bowl (Simple, colorful, savory, no baking or special tools—just a pot and a skillet.) Why it works: Uses only pantry staples most people already have (rice, canned beans/tomatoes, basic spices, oil, salt).
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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…

GPT-6 Luna Pro1,215 words
Turbot, Sea Buckthorn, Mussel Beurre Blanc, and Celery-Root Silk Serves 4 A composed main course built around an unusual but harmonious pairing: briny mussel and turbot with intensely tart, apricot-like sea buckthorn.
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Granite 4.2 8B3,131 words
Dish Title: Lumen Tide: Memory of the Surface Conceptual Narrative (concise, kitchen-ready, emotionally precise): *The ocean does not announce its presence with sound but with trace—a fleeting salt-film on skin after a wave recedes, the subtle crunch of dried kelp clinging to rock, the quiet swell beneath a submerged…
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Our Verdict
GPT-6 Luna Pro
GPT-6 Luna Pro
Granite 4.2 8B
Granite 4.2 8BRunner-up

Not enough votes to call it. On the specs, GPT-6 Luna Pro has the edge: bigger model tier, bigger context window, major provider backing.

Granite 4.2 8B costs 3.3x less per token.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-6 Luna Pro
Input
$0.10
Output
$0.50
Granite 4.2 8B
Input
$0.10
Output
$0.15
3.3× cheaper
Where to run it

4 hosts, cheapest first

GPT-6 Luna Pro2 hosts
HostInOutContextUptime
Azure AI Foundry$0.10 in·$0.50 out·1.1M·98.6% upOpenAI$0.10 in·$0.50 out·1.1M·99.9% up
Granite 4.2 8B2 hosts
HostInOutContextUptime
DDeepInfrabf16$0.06 in·$0.25 out·131k·100% upCCoreWeavebf16$0.10 in·$0.15 out·131k·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GPT-6 Luna Pro is developed by OpenAI while Granite 4.2 8B is developed by IBM Granite. GPT-6 Luna Pro has a 1.1M token context window vs Granite 4.2 8B's 131K. You can compare their actual outputs across 20 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-6 Luna Pro and Granite 4.2 8B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 20 challenges so you can judge which fits your needs best.

GPT-6 Luna Pro costs $0.1/M input tokens and Granite 4.2 8B costs $0.1/M input tokens. Granite 4.2 8B is $0.00/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 GPT-6 Luna Pro and Granite 4.2 8B 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

GPT-6 Luna Pro logo
GPT-6 Luna Pro20 outputs, specs and price
Granite 4.2 8B logo
Granite 4.2 8B58 outputs, specs and price
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