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  5. GPT-6 LunavsKimi K2.6
Updated Sep 2026

GPT-6 LunavsKimi K2.6

GPT-6 Luna is cheaper than Kimi K2.6 at $0.1/M vs $0.95/M input tokens.

GPT-6 Luna and Kimi K2.6 compared across 20 shared prompts
SpecGPT-6 LunaKimi K2.6
Input price$0.1/M tokens$0.95/M tokens
Output price$0.5/M tokens$4/M tokens
Context window1.1M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 20 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…

GPT-6 Luna113 words
Crispy Parmesan Chickpeas A crunchy, savory snack with a cheesy finish Ingredients (7): 1 can chickpeas, drained and dried 1 tablespoon olive oil ½ teaspoon salt ½ teaspoon paprika ¼ teaspoon garlic powder ¼ cup grated Parmesan 1 tablespoon lemon juice Prep time: 5 minutes Cook time: 30–35 minutes Instructions: Heat…
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Kimi K2.6286 words
The Blanket Fort Stew (Rustic One-Pot Pasta e Ceci) A warm, garlicky hug of a meal built from true shelf-stable staples. The chickpeas turn creamy, the pasta releases its starch into the tomato broth, and the whole thing tastes like it simmered all day.
Read the full answer

Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

GPT-6 Luna2,040 words
This agreement is strongly one-sided. The enforceability of particular terms—especially the non-compete, liability provisions, and arbitration clause—depends on the governing law and the facts. The agreement does not identify a governing law, which is itself a significant gap.
Read the full answer
Kimi K2.61,993 words
This contract is heavily one-sided and contains multiple "landmine" clauses that shift virtually all risk to the Contractor while allowing the Client maximum flexibility. Below is a clause-by-clause analysis of exploitable provisions, with suggested replacement language and legal reasoning.
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 Luna330 words
A simple 1-month starter plan Choose three foundations: food, movement, and sleep. Aim for steady habits, not perfection. If you have a health condition, significant pain, or concerns about changing your activity or diet, check with a healthcare professional first.
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Kimi K2.6549 words
The Foundation Month: A 30-Day Longevity Starter Plan Philosophy: Don’t overhaul your life. Stack one small win at a time so habits stick. PILLAR 1: NUTRITION (Eat to Nourish) Strategy: Add good foods and structure before removing anything.
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Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

GPT-6 Luna1,930 words
I would not wait six months for more data. A potentially fatal signal affecting a drug used by millions requires immediate safety assessment, prompt engagement with regulators, and a plan to inform patients and clinicians.
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Kimi K2.62,483 words
My north star: We disclose—fast, fully, and on our terms. The “wait for more data” option is a mirage. It exposes the company to criminal liability under FDA adverse-event reporting rules, potential DOJ investigation, securities fraud charges, and derivative litigation that could destroy the firm.
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 Luna1,979 words
The main architectural risk is that the system treats collaborative editing as “write a value, then broadcast it.” That works poorly under concurrency, server failures, reconnects, and scale.
Read the full answer
Kimi K2.62,081 words
Here is a systematic breakdown of the critical flaws in this architecture, categorized by the type of risk they introduce. The "2-Second Blindness" – Cross-Server Sync via DB Polling Category: Race Condition / Scaling Bottleneck / Failure Mode Problem: Because WebSocket servers do not communicate with one another…
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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 Luna672 words
For an experienced software engineer A language model is trained on many text sequences, split into tokens—roughly word fragments, not necessarily whole words. During training, it repeatedly sees a prefix and tries to predict the next token.
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Kimi K2.6877 words
1. Experienced Software Engineer Think of an LLM not as a program you write, but as a binary you compile from the entire internet. Instead of hand-crafting if/then rules, you define a single objective: given the context "The cat sat on the...", output the probability distribution over every possible next token, and…
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Our Verdict
GPT-6 Luna
GPT-6 Luna
Kimi K2.6
Kimi K2.6Runner-up

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

GPT-6 Luna costs 8.0x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-6 Luna
Input
$0.10
9.5× cheaper
Output
$0.50
8.0× cheaper
Kimi K2.6
Input
$0.95
Output
$4.00

GPT-6 Luna is cheaper on both: 9.5× input, 8.0× output.

Where to run it

23 hosts, cheapest first

GPT-6 Luna3 hosts
HostInOutContextUptime
Azure AI Foundry$0.10 in·$0.50 out·1.1M·88.4% upOpenAI$0.10 in·$0.50 out·1.1M·99.9% upAmazon Bedrock$0.11 in·$0.55 out·1.1M·99.8% up
Kimi K2.620 hosts
HostInOutContextUptime
Baidu Qianfanfp4$0.45 in·$1.90 out·262k·100% upIInceptronint4$0.45 in·$2.97 out·262k·99.5% upCChutesint4$0.50 in·$2.85 out·262k·98.7% upDDecartfp4$0.59 in·$2.47 out·262k·97.7% upSStreamLakefp8$0.60 in·$2.52 out·256k·99.2% upCCoreWeavefp4$0.65 in·$3.41 out·262k·98.8% up
14 more hostsFewer hosts
DDeepInfrafp4$0.75 in·$3.50 out·262k·98.9% upVVeniceint4$0.75 in·$3.50 out·256k·97.5% upSSiliconFlowfp8$0.77 in·$3.40 out·262k·99.8% upNNovita$0.80 in·$3.40 out·262k·99.8% upGGMI Cloudfp8$0.85 in·$3.60 out·262k·99.4% upAAtlasCloudint4$0.95 in·$4.00 out·262k·99.1% upBBasetenfp4$0.95 in·$4.00 out·262k·98.7% upCloudflare Workers AI$0.95 in·$4.00 out·262k·99.9% upMoonshot AIint4$0.95 in·$4.00 out·262k·100% upPPhala$1.09 in·$4.60 out·262k·99.6% upDDigitalOceandegraded$0.57 in·$2.40 out·262k·97.4% upCCrusoebf16degraded$0.70 in·$3.50 out·262k·84% upPParasailint4degraded$0.75 in·$3.50 out·262k·98.7% upFFireworksdegraded$0.95 in·$4.00 out·262k·0% 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 is developed by OpenAI while Kimi K2.6 is developed by Moonshot AI. GPT-6 Luna has a 1.1M token context window vs Kimi K2.6's 262K. 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 and Kimi K2.6 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 costs $0.1/M input tokens and Kimi K2.6 costs $0.95/M input tokens. GPT-6 Luna is $0.85/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 and Kimi K2.6 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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