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  5. GPT-6 Luna ProvsKimi K2.6
Updated Sep 2026

GPT-6 Luna ProvsKimi K2.6

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

GPT-6 Luna Pro and Kimi K2.6 compared across 20 shared prompts
SpecGPT-6 Luna ProKimi 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 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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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

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
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…
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.…

GPT-6 Luna Pro401 words
“94% accuracy” and “works with any language, any device” Why it’s weak: “Accuracy” is undefined. It could mean classifying a small set of prompted words in a controlled lab—not reliably generating free-form text.
Read the full answer
Kimi K2.6701 words
Here are the three weakest claims in the MindMeld AI pitch, ranked by their potential to destroy investor credibility. The "Pre-Cognition" Claim The Claim: "MindMeld AI reads your brainwaves to predict what you want to type before you think it" (Slide 1) Why it is weak: This is neuroscientifically incoherent.
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.
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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.
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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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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Mini LBO Underwrite

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

GPT-6 Luna Pro434 words
Operating and debt schedule Conventions: Interest is calculated on beginning-of-year debt; the 1% Term Loan amortization is 1% of its original $480m principal ($4.8m annually). Mezzanine PIK accrues at 2% annually.
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Kimi K2.6596 words
1. SOURCES & USES (FY2025 CLOSE) $m Purchase Price (12.0 × $120m EBITDA) 1,440.0 Transaction Fees (2.0% of EV) 28.8 Total Uses 1,468.8 Term Loan (4.0×) 480.0 Mezzanine (1.5×) 180.0 Equity 808.8 2. YEAR-BY-YEAR MODEL (FY2026–FY2030) All figures in $m.
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Our Verdict
GPT-6 Luna Pro
GPT-6 Luna Pro
Kimi K2.6
Kimi K2.6Runner-up

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

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

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

Where to run it

22 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
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 Pro is developed by OpenAI while Kimi K2.6 is developed by Moonshot AI. GPT-6 Luna Pro 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 Pro 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 Pro costs $0.1/M input tokens and Kimi K2.6 costs $0.95/M input tokens. GPT-6 Luna Pro 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 Pro 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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