Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed
  1. Home
  2. /
  3. Compare
  4. /
  5. DeepSeek V4 Flash 0731vsGPT-6 Luna Pro
Updated Sep 2026

DeepSeek V4 Flash 0731vsGPT-6 Luna Pro

GPT-6 Luna Pro is cheaper than DeepSeek V4 Flash 0731 at $0.1/M vs $0.14/M input tokens.

DeepSeek V4 Flash 0731 and GPT-6 Luna Pro compared across 18 shared prompts
SpecDeepSeek V4 Flash 0731GPT-6 Luna Pro
Input price$0.14/M tokens$0.1/M tokens
Output price$0.28/M tokens$0.5/M tokens
Context window1.0M tokens1.1M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedJul 2026Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 18 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…

DeepSeek V4 Flash 0731287 words
Here is a simple, comforting, and deeply flavorful recipe that comes together in just 20 minutes using only 7 common pantry staples. Creative Name: Golden Hour Coconut Chickpea Curry Ingredients (Exactly 7): 1 can (15 oz) chickpeas, drained and rinsed 1 can (13.5 oz) full-fat coconut milk 1 medium yellow onion 3 cloves…
Read the full answer
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…
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…

DeepSeek V4 Flash 07311,492 words
Conceptual Narrative “An Unripe Promise — Hand-Dived Scallop / Green Strawberry / Black Sesame / Celery Root” The dish is an attempt to save a single fleeting moment: the morning a strawberry is still green, sharp, and full of anticipation—before sugar, before ripeness, before memory.
Read the full answer
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

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…

DeepSeek V4 Flash 0731748 words
An experienced software engineer Think of the model as a service with one API: predict_next_token(context) -> distribution over vocabulary. During training, you run a gigantic distributed job—shard the corpus, shard the parameters, synchronize gradients—to minimize cross-entropy loss on trillions of tokens.
Read the full answer
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.
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…

DeepSeek V4 Flash 0731967 words
Here is a simple, actionable 1-month plan designed for absolute beginners. The goal is consistency over intensity. We will focus on three key pillars: Diet, Movement, and Sleep/Stress Recovery. You don’t need to be perfect—just aim for 80% adherence. If you miss a day, don’t double up tomorrow; just get back on track.
Read the full answer
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

Advanced Longevity Plan (Biohacker)

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

DeepSeek V4 Flash 07311,562 words
The 3-Month Longevity & Performance Optimization Protocol (Biohacker Edition) Disclaimer: This protocol is for informational purposes only and is not medical advice. Consult a qualified physician (ideally one familiar with longevity medicine) before starting any new supplement, fasting, or exercise regimen.
Read the full answer
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

Debug This Architecture

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

DeepSeek V4 Flash 07311,719 words
Failure Modes, Race Conditions, and Scaling Bottlenecks The described architecture has several critical weaknesses that undermine reliability, consistency, and scalability in a real-time collaborative editor. Below is a systematic analysis with proposed solutions and trade-offs.
Read the full answer
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
Our Verdict
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731
GPT-6 Luna Pro
GPT-6 Luna Pro

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

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek V4 Flash 0731
Input
$0.14
Output
$0.28
1.8× cheaper
GPT-6 Luna Pro
Input
$0.10
1.4× cheaper
Output
$0.50

GPT-6 Luna Pro wins input (1.4× cheaper)·DeepSeek V4 Flash 0731 wins output (1.8× cheaper)

Where to run it

31 hosts, cheapest first

DeepSeek V4 Flash 073129 hosts
HostInOutContextUptime
RRelacefp4$0.03 in·$0.32 out·1M·99.8% upSSail Researchfp4$0.03 in·$0.55 out·1M·99% upSStreamLakefp8$0.05 in·$0.16 out·1M·99.6% upDDeepInfrafp8$0.06 in·$0.18 out·1M·99.8% upWWafer$0.08 in·$0.35 out·1M·100% upIInceptronfp4$0.08 in·$0.41 out·1M·99.8% up
23 more hostsFewer hosts
RReka$0.09 in·$0.53 out·262k·99.8% upMMakora$0.09 in·$0.20 out·1M·98.5% upDDigitalOcean$0.12 in·$0.24 out·1M·100% upBBasetenfp8$0.13 in·$0.26 out·1M·100% upCCoreWeavefp8$0.13 in·$0.28 out·262k·99.9% upPParasailfp8$0.14 in·$0.28 out·1M·99.6% upTTogether$0.14 in·$0.28 out·1M·98% upOOpenInferencefp8$0.14 in·$0.70 out·1M·99.2% upMMorph$0.14 in·$0.40 out·1M·99.2% upVVenice$0.17 in·$0.35 out·1M·99.6% upMMancerfp8$0.20 in·$0.60 out·1M·96% upFFireworks$0.22 in·$0.66 out·1M·98.6% upSSiliconFlowfp8$0.22 in·$0.66 out·1M·99.1% upGGMI Cloudfp8$0.29 in·$0.86 out·1M·99.9% upAlibaba Cloud$0.35 in·$1.06 out·1M·99.8% upNNextBitfp8$0.35 in·$1.06 out·1M·99.9% upNNovitafp8$0.41 in·$1.23 out·1M·100% upAAtlasCloudfp4$0.44 in·$1.32 out·1M·97.6% upBaidu Qianfanfp8$0.44 in·$1.32 out·1M·99.9% upCloudflare Workers AI$0.44 in·$1.32 out·1.3M·100% upPPhala$0.44 in·$1.32 out·1M·99.3% upCoheredegraded$0.14 in·$0.28 out·1M·99.3% upNNebiusfp8degraded$0.14 in·$0.28 out·1M·86.3% up
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

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

Research

What we learned reading every model

FAQ

Common questions

DeepSeek V4 Flash 0731 is developed by DeepSeek while GPT-6 Luna Pro is developed by OpenAI. DeepSeek V4 Flash 0731 has a 1.0M token context window vs GPT-6 Luna Pro's 1.1M. You can compare their actual outputs across 18 challenges on Rival to see how they differ in practice.

It depends on your use case. DeepSeek V4 Flash 0731 and GPT-6 Luna Pro each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 18 challenges so you can judge which fits your needs best.

DeepSeek V4 Flash 0731 costs $0.14/M input tokens and GPT-6 Luna Pro costs $0.1/M input tokens. GPT-6 Luna Pro is $0.04/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 DeepSeek V4 Flash 0731 and GPT-6 Luna Pro 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.

Keep exploring

More comparisons

Against the newest arrivals

DeepSeek V4 Flash 0731 logoSolar Mini 4 logo
DeepSeek V4 Flash 0731 vs Solar Mini 4Landed Sep 2026
GPT-6 Luna Pro logoQwen3.8 Max Prime logo
GPT-6 Luna Pro vs Qwen3.8 Max PrimeLanded Sep 2026
DeepSeek V4 Flash 0731 logoGLM 5.3 Prime logo
DeepSeek V4 Flash 0731 vs GLM 5.3 PrimeLanded Sep 2026
GPT-6 Luna Pro logoQwen3.8 Omni Flash logo
GPT-6 Luna Pro vs Qwen3.8 Omni FlashLanded Sep 2026
DeepSeek V4 Flash 0731 logoCommand A+ logo
DeepSeek V4 Flash 0731 vs Command A+Landed Sep 2026
GPT-6 Luna Pro logoClaude Opus 5.5 logo
GPT-6 Luna Pro vs Claude Opus 5.5Landed Sep 2026
DeepSeek V4 Flash 0731 logoGPT-6 Sol Pro logo
DeepSeek V4 Flash 0731 vs GPT-6 Sol ProLanded Sep 2026
GPT-6 Luna Pro logoGPT-6 Luna logo
GPT-6 Luna Pro vs GPT-6 LunaLanded Sep 2026

Same lab, same size, long tail

DeepSeek V4 Flash 0731 logoDeepSeek V4 Flash Vision Exp logo
DeepSeek V4 Flash 0731 vs DeepSeek V4 Flash Vision ExpSame lab
DeepSeek V4 Flash 0731 logoDeepSeek V4.1 Flash logo
DeepSeek V4 Flash 0731 vs DeepSeek V4.1 FlashSame lab
GPT-6 Luna Pro logoGPT-6 Sol Pro logo
GPT-6 Luna Pro vs GPT-6 Sol ProSame lab
GPT-6 Luna Pro logoGPT-6 Sol logo
GPT-6 Luna Pro vs GPT-6 SolSame lab
DeepSeek V4 Flash 0731 logoGPT-6 Astra Pro logo
DeepSeek V4 Flash 0731 vs GPT-6 Astra ProCross-provider
DeepSeek V4 Flash 0731 logoGPT-6 Luna logo
DeepSeek V4 Flash 0731 vs GPT-6 LunaSame size
DeepSeek V4 Flash 0731 logoGPT-6 Sol logo
DeepSeek V4 Flash 0731 vs GPT-6 SolSame size
DeepSeek V4 Flash 0731 logoGPT OSS 120B logo
DeepSeek V4 Flash 0731 vs GPT OSS 120BCross-provider

Model pages

DeepSeek V4 Flash 0731 logo
DeepSeek V4 Flash 073145 outputs, specs and price
GPT-6 Luna Pro logo
GPT-6 Luna Pro20 outputs, specs and price
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed