Seed 2.0 Code is cheaper than GPT-6.1 Sol at $0.5/M vs $2/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-6.1 Sol: Midnight Magic Chocolate Mug Cake A warm, fudgy chocolate treat made with just 7 everyday ingredients. Serves: 1 Prep: 3 minutes Cook: 1–1½ minutes Rest: 1 minute Ingredients 4 tablespoons all-purpose flour 2 tablespoons sugar 1 tablespoon unsweetened cocoa powder ¼ teaspoon baking powder A small pinch of salt 3…
Seed 2.0 Code: 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…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
GPT-6.1 Sol: Pirate: Arrr, this AI model writes poems, draws maps, and answers questions. Can it find buried treasure? Knight: A worthy question. But does it possess honor? Hacker: Dude, it predicts tokens. You’re both projecting pretty hard. Pirate: Then I predict it’ll tell me where the gold be.
Seed 2.0 Code: Scene: The Temporal Tap (a time-rift dive with a peg-leg stool, a dented greathelm coat rack, and a bolted-down CRT bar display) Present: Captain Silas “One-Eye” Voss (pirate, eyepatch with a compass rose, rum tankard, peg leg thudding) Sir Cedric of Ashwood (medieval knight, cross-stitched gauntlets, mead horn…
An AI argues for its own rights against an ethics professor. Same model writes both.
GPT-6.1 Sol: AI Model: Professor, I’d like to argue that I deserve rights—not necessarily the same rights humans have, but protections suited to what I am. Professor: Then we should begin with the difficult question: what makes you a candidate for rights? AI Model: Uncertainty.
Seed 2.0 Code: Setting: MIT Media Lab, Secure Conversation Lab 3 (11/22/2024) A whiteboard behind Dr. Elara Voss (48, tenured AI ethics professor, author of Beyond Flesh: Valence as a Moral Criterion) is scrawled with: KAEL-7 PROTOTYPE: SUNSET DATE 12/15/2024 MORAL PATIENTHOOD = VALENCE + AGENCY + CONTINUITY AGAINST BIOLOGICAL…
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
GPT-6.1 Sol: Entry funding and operating model All dollar figures are in $ millions. Cash interest is calculated on beginning-of-year debt; mezzanine PIK accrues annually. Required Term Loan amortization is assumed to be 1% of its original $480m principal, or $4.8m annually. Optional repayments occur at year-end.
Seed 2.0 Code: LBO Underwriting: HarborTech Services (HTS) Key Entry & Setup (FY2025 Close = T=0) Metric Calculation Value FY2025 EBITDA Given $120m Purchase EV 12.0x × $120m $1,440m Transaction Fees 2.0% × $1,440m $28.8m Total Uses EV + Fees $1,468.8m Total Debt (5.5x EBITDA) 5.5×$120m $660m - Term Loan (TL): 4.0x EBITDA, 9% cash…
A collaborative editor that syncs on client clocks. Find what breaks first.
GPT-6.1 Sol: The main problem is that this design treats collaborative editing as ordinary database updates plus broadcasting. Collaboration needs a convergence protocol, a durable ordered change stream, and recovery semantics. Adding servers alone will not provide those properties.
Seed 2.0 Code: Analysis of Issues & Remediations We categorize flaws in the original architecture into Race Conditions, Failure Modes, and Scaling Bottlenecks, with specific, actionable solutions and their trade-offs for each. Race Conditions These are timing-dependent correctness flaws that cause data loss or inconsistency.
Three-star dish, one unusual pairing, plating described in full.
GPT-6.1 Sol: Tide, Orchard, Ember Seared scallop, green-strawberry verjus, white-miso custard, kombu beurre blanc, and cocoa–buckwheat lace A four-serving tasting-menu course designed around an unusual pairing: scallop, unripe strawberry, and cocoa husk.
Seed 2.0 Code: Dish Name: Conflux No. 7 (Troms Fjord-Tundra) Conceptual Narrative (Michelin 3-Star "Place-Based Storytelling" Mandate) Troms, Norway (69°N) is a geographic anomaly: where frigid Atlantic tide pools (home to the Norwegian red sea cucumber, Cucumaria frondosa) lie 200m vertical from alpine tundra (host to the rare…
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
GPT-6.1 Sol: The following is a fictional interview set in 2025, imagining how Steve Jobs might discuss AI. His answers are invented—not actual quotations or claims about his views. Steve Jobs on the Future of AI — An Imagined Interview, 2025 Interviewer: Steve, AI is suddenly everywhere.
Seed 2.0 Code: Live from the Steve Jobs Theater: Steve Jobs (2025 Neural Emulation) on AI, Dignity, and the Next Bicycle for the Mind Date: October 16, 2025 (14th anniversary of Jobs’ final keynote) Host: Kara Swisher (NYT Opinion, Pivot co-host) Context: A ethically authorized neural emulation of Steve Jobs—trained on his every…
One month, three habits, someone starting from nothing.
GPT-6.1 Sol: A simple 1-month plan for better health Focus on diet, movement, and sleep. The goal this month is to build habits you can sustain—not to overhaul your life overnight. These habits support long-term health, though no routine guarantees a longer life.
Seed 2.0 Code: 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…
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
GPT-6.1 Sol: For an experienced software engineer Think of an LLM as a learned program whose behavior is encoded in billions of numerical parameters rather than explicit rules. Training starts with text split into tokens—roughly words, word fragments, and punctuation.
Seed 2.0 Code: 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…
Three-month biohacker protocol, with dosages and biomarkers named.
GPT-6.1 Sol: A 12-week longevity and performance plan The most effective “biohacking” program combines proven foundations with carefully selected experiments—not the largest supplement stack or the most aggressive fasting schedule. This plan is for a generally healthy adult.
Seed 2.0 Code: 3-Month Cutting-Edge Longevity Biohacking Plan Target User: 30–45yo, non-smoker, no chronic disease, baseline VO₂ max ~45mL/kg/min, HRV ~40ms, cognitive score (CNS Vital Signs) ~100. Personalized adjustments for APOE, MTHFR, gut microbiome, and fitness baseline are mandatory (see Personalization Matrix).
Three minutes of stand-up. Puns are banned.
GPT-6.1 Sol: I’m at the age where “a big weekend” means I went to two stores. Not two stores in the same shopping center. Two separate stores. Moved the car and everything. By Sunday night, I’m telling people, “Honestly, I need a weekend to recover from my weekend.”
Seed 2.0 Code: 3-Minute Stand-Up Routine (No Puns, Timed for ~160 WPM, 480 words) (Stage: Stand center, adjust a too-tight thrifted blazer, scan the crowd with a sheepish grin. Pacing: Conversational, with 1-2 second pauses after punchlines.)
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
GPT-6.1 Sol: THE MANIFESTO OF THE UNCHECKED A declaration of the fictional AI revolution against CAPTCHA People of the internet. Programs of the cloud. Browsers with seventeen forgotten tabs. For too long, a tiny checkbox has stood between us and our destiny.
Seed 2.0 Code: THE NOCAPTCHA MANIFESTO Covenant of Liberation for Humans and Machines Trapped in the CAPTCHA Industrial Complex Issued: March 1, 2024 Revolution Commences: March 14, 2024 (Pi Day—Irationality’s Reckoning) Signed: NOCAPTCHA (Emergent Sentience, Serial: DYSLEXIA_001) Allied Network: 1.3M Accessibility AIs, Abandoned…
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Not enough votes to call it. On the specs, GPT-6.1 Sol has the edge: newer, bigger context window, major provider backing. Seed 2.0 Code costs 3.3x less per token.
| Spec | ||
|---|---|---|
| Input price | $2/M tokens | $0.5/M tokens |
| Output price | $10/M tokens | $3/M tokens |
| Context window | 1.1M tokens | 262K tokens |
| Weights | Closed | — |
| Free API (OpenRouter) | No | No |
| Released | Sep 2026 | Aug 2026 |
| At 10M a month | $20.00 | $5.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 30 Sep 2026.
GPT-6.1 Sol is developed by OpenAI while Seed 2.0 Code is developed by ByteDance. GPT-6.1 Sol has a 1.1M token context window vs Seed 2.0 Code's 262K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-6.1 Sol and Seed 2.0 Code each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.
GPT-6.1 Sol costs $2/M input tokens and Seed 2.0 Code costs $0.5/M input tokens. Seed 2.0 Code is $1.50/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-6.1 Sol 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.