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  5. GPT-6 Luna ProvsKimi K3
Updated Sep 2026

GPT-6 Luna ProvsKimi K3

GPT-6 Luna Pro is cheaper than Kimi K3 at $0.1/M vs $3/M input tokens.

GPT-6 Luna Pro and Kimi K3 compared across 20 shared prompts
SpecGPT-6 Luna ProKimi K3
Input price$0.1/M tokens$3/M tokens
Output price$0.5/M tokens$15/M tokens
Context window1.1M tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Jul 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
Kimi K31,167 words
The 3-Month Longevity Optimization Protocol Important caveat before we begin: This plan is designed for a healthy adult. Get physician clearance before starting—especially for prolonged fasting, high-dose supplements, and anything prescription-grade. Several items below interact with medications (notably berberine).
Read the full answer

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.
Read the full answer
Kimi K31,229 words
FIRST FROST Langoustine · Frost-Sweetened Parsnip · Coffee · Vanilla · Horseradish Snow The Narrative This dish is built on a piece of winter biochemistry. When the first frost strikes, parsnips and horseradish defend themselves by converting starch into sugar — a natural antifreeze — which is why country cooks have…
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 K31,479 words
The Software Engineer An LLM is, mechanically, just a function: a giant composition of matrix multiplications and nonlinearities that maps a sequence of tokens (chunks of text, roughly ¾ of a word each) to a probability distribution over what token comes next.
Read the full answer

Advanced Investment Memo (IC Memo)

You are writing an internal investment committee memo for a long/short equity fund. Company (fictional): LedgerLift (ticker: LLLT) – B2B…

GPT-6 Luna Pro888 words
LedgerLift (LLLT) — Investment Committee Memo Recommendation: Pass 12-month price target range: $28–44 per share LedgerLift has attractive customer economics, recurring revenue, and a credible path to margin expansion, but those strengths are already reflected in a $46 share price.
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Kimi K31,055 words
IC MEMO — LedgerLift (LLLT) Price $46 Mkt cap $8.74B Net cash $1.4B EV $7.34B EV/FY25 Rev 9.0x EV/FY26E Rev 7.4x EV/FY26E EBIT 37x Recommendation: SHORT (moderate conviction; 1.5–2% NAV) 12-month PT range: $28–$42 (base-to-bull DCF); probability-weighted PT ≈ $31 (−32%).
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.
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Kimi K31,542 words
Architecture Review: Collaborative Document Editor Overall assessment: The load-bearing problem is the sync layer — client-clock LWW + 2-second cross-server polling guarantees data loss and divergence under normal use.
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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…

GPT-6 Luna Pro1,661 words
The biggest change would not be that 1920 suddenly gets modern computers. It would be that governments and firms have six or seven extra decades to develop semiconductor materials, manufacturing, and applications.
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Kimi K32,513 words
First, a caveat that shapes everything A 1920 transistor is a bigger counterfactual than it appears. The 1947 invention waited on quantum mechanics (band theory, 1928–31), ultra-pure germanium, and controlled doping.
Read the full answer
Our Verdict
GPT-6 Luna Pro
GPT-6 Luna Pro
Kimi K3
Kimi K3

Not enough votes to call it. On the specs, nothing separates them.

GPT-6 Luna Pro costs 30x 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
30× cheaper
Output
$0.50
30× cheaper
Kimi K3
Input
$3.00
Output
$15.00

GPT-6 Luna Pro is cheaper on both: 30× input, 30× output.

Where to run it

19 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 K317 hosts
HostInOutContextUptime
SSail Researchfp4$0.88 in·$10.53 out·1M·99.3% upIInferenceNetfp4$1.30 in·$11.40 out·1M·99.8% upWWafer$1.99 in·$15.00 out·1M·98.8% upMMakora$2.04 in·$12.75 out·1M·98.1% upPPhala$2.10 in·$10.50 out·1M·99% upRRelacefp4$2.10 in·$10.50 out·1M·98.1% up
11 more hostsFewer hosts
MMorph$2.50 in·$14.00 out·1M·99.6% upDDigitalOcean$2.55 in·$12.95 out·1M·98.7% upDDeepInfrabf16$2.85 in·$14.25 out·1M·96.6% upBBasetenfp8$3.00 in·$15.00 out·1M·98.8% upCChutesmxfp4$3.00 in·$15.00 out·1M·95.9% upFFireworks$3.00 in·$15.00 out·1M·99.9% upModalmxfp4$3.00 in·$15.00 out·1M·99.8% upMoonshot AImxfp4$3.00 in·$15.00 out·1M·99.9% upPParasailfp4$3.00 in·$15.00 out·1M·98.9% upTTogether$3.00 in·$15.00 out·1M·99.2% upAlibaba Cloud$3.45 in·$17.25 out·1M·99.3% 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 K3 is developed by Moonshot AI. GPT-6 Luna Pro has a 1.1M token context window vs Kimi K3's 1.0M. 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 K3 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 K3 costs $3/M input tokens. GPT-6 Luna Pro is $2.90/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 K3 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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