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  5. GPT-6 LunavsSeed 2.0 Code
Updated Sep 2026

GPT-6 LunavsSeed 2.0 Code

GPT-6 Luna is cheaper than Seed 2.0 Code at $0.1/M vs $0.5/M input tokens.

GPT-6 Luna and Seed 2.0 Code compared across 20 shared prompts
SpecGPT-6 LunaSeed 2.0 Code
Input price$0.1/M tokens$0.5/M tokens
Output price$0.5/M tokens$3/M tokens
Context window1.1M tokens262K tokens
WeightsClosed—
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.

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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Seed 2.0 Code377 words
Creative Dish Name: Smoky Hearth Crunch Bowls (Cozy, savory umami crunch made exclusively from 7 pantry staples—no fridge, no fresh produce) 7 Exact Common Pantry Ingredients (No Substitutions Required): 1 (15-oz) can chickpeas (drained, rinsed, patted completely dry) ½ cup quick-cooking rolled oats (old-fashioned…
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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Seed 2.0 Code819 words
30-Day Longevity Kickstart Plan Core 3 Key Areas (Evidence-Based, Beginner-Friendly): Blue Zone Lite Nutrition (restriction-free, longevity-aligned eating) NEAT + Micro-Strength Movement (combats sitting-related aging + preserves muscle) Circadian Sleep + Micro-Stress Resets (aligns cellular repair + reduces chronic…
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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.
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Seed 2.0 Code987 words
Overarching Legal Context Nearly all clauses in this agreement are substantively unconscionable (one-sided, oppressive) and many are procedurally unconscionable (likely a "take-it-or-leave-it" adhesion contract offered by Client, who holds superior bargaining power).
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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 Luna421 words
“94% accuracy” and “predict what you want to type before you think it” Why it’s weak: This is the deck’s central technical claim, but “accuracy” is undefined: Is it word-level or character-level accuracy, measured on a fixed vocabulary or open-ended text, and under what conditions?
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Seed 2.0 Code807 words
3 Weakest Claims (Verbatim from the Pitch Deck) + Analysis & Fixes The three weakest claims are logically incoherent, methodologically unfounded, or intentionally vague—red flags that would make institutional investors pause.
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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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Seed 2.0 Code1,555 words
Explanation for an Experienced Software Engineer (Skeptical of "Next-Word Prediction" as Intelligence) As someone who’s built distributed systems, you’ve almost certainly written code that predicts something—e.g., a log parser that infers a race condition from 5 consecutive partial log lines, or an API rate limiter…
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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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Seed 2.0 Code1,757 words
Hour-by-Hour 48-Hour Action Plan (T=0 = 9AM Day 1; Board Meeting = 9AM Day 3 = T=48; Earnings Call = 9AM Day 4 = T=72) Core Guiding Principle: Prioritize patient safety and legal/regulatory compliance (non-negotiable fiduciary and ethical duties) while minimizing unnecessary financial/PR volatility.
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Our Verdict
GPT-6 Luna
GPT-6 Luna
Seed 2.0 Code
Seed 2.0 CodeRunner-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 6.0x 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
5.0× cheaper
Output
$0.50
6.0× cheaper
Seed 2.0 Code
Input
$0.50
Output
$3.00

GPT-6 Luna is cheaper on both: 5.0× input, 6.0× output.

Where to run it

4 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
Seed 2.0 Code1 host
HostInOutContextUptime
ByteDance Seedfp8$0.50 in·$3.00 out·262k·100% 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 Seed 2.0 Code is developed by ByteDance. GPT-6 Luna has a 1.1M token context window vs Seed 2.0 Code'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 Seed 2.0 Code 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 Seed 2.0 Code costs $0.5/M input tokens. GPT-6 Luna is $0.40/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 Seed 2.0 Code 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 logo
GPT-6 Luna20 outputs, specs and price
Seed 2.0 Code logo
Seed 2.0 Code58 outputs, specs and price
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