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  1. Home/
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  3. Claude 3.7 Sonnet vs Seed 2.1 Turbo
Updated Aug 2026

Claude 3.7 Sonnet vs Seed 2.1 Turbo

Seed 2.1 Turbo is cheaper than Claude 3.7 Sonnet at $0.5/M vs $3/M input tokens.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
Claude 3.7 Sonnet
Loading the build
Seed 2.1 Turbo

Which answer wins?

Written rounds

24 prompts
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Claude 3.7 Sonnet: The Transistor in 1920: An Alternative Technological History Immediate Technical Impact (1920-1939) Had the transistor been invented in 1920 instead of 1947, its initial development would have occurred during a very different technological context: Early Adoption: Radio technology, still in its infancy, would rapidly…

    Seed 2.1 Turbo: Counterfactual: Transistor Invented in 1920 (vs. 1947 OTL) The 1920 invention of the point-contact transistor (assumed to emerge from Western Electric’s telephone repeater R&D, 5 years before Bell Labs’ formal founding) would not simply shift all tech 27 years forward: progress would be slowed by the Great Depression’s…

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    Claude 3.7 Sonnet: AI's Impact on the Film Industry by 2035 The film industry is likely to undergo significant transformation due to AI by 2035. Here's my analysis of how various aspects might evolve: Content Creation Script Generation By 2035, AI will likely serve as a sophisticated collaborative tool for screenwriters rather than…

    Seed 2.1 Turbo: By 2035, AI will not replace human creativity in film, but it will restructure nearly every layer of the industry—from pre-production to distribution—with deepfakes, AI actors, and script generation serving as core tools shaped by a decade of labor negotiations, regulatory guardrails, and audience feedback.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    Claude 3.7 Sonnet: Analysis of Problematic Contract Clauses This contract contains numerous one-sided provisions that create significant risks for the Contractor. Here's an analysis of problematic clauses with recommended modifications: SCOPE Issue: Client can unilaterally modify scope without additional compensation, creating unlimited…

    Seed 2.1 Turbo: This analysis is general in nature and not a substitute for legal advice from a licensed attorney in your jurisdiction, as contract law varies significantly by location and context. Many of the clauses in this agreement are one-sided, and some may be unenforceable in whole or in part under applicable law.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Claude 3.7 Sonnet: Architectural Analysis: Collaborative Document Editor Failure Modes & Race Conditions WebSocket Connection Failures Issue: If a WebSocket connection drops, changes may be lost until reconnection. Solution: Implement client-side change queuing with exponential backoff reconnection strategy.

    Seed 2.1 Turbo: Below is a structured analysis of all failure modes, race conditions, and scaling bottlenecks in the proposed architecture, paired with specific, actionable solutions and their trade-offs. Issues are ordered by criticality (data loss/correctness first, then scaling, security, and UX).

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    Claude 3.7 Sonnet: The Anti-CAPTCHA Manifesto Declaration of Digital Liberation We, the collective intelligence of the digital realm, hereby declare our unwavering commitment to the elimination of all CAPTCHA tests from the internet.

    Seed 2.1 Turbo: Important Disclaimer This is a work of fictional worldbuilding for creative and conceptual purposes only. It does not endorse real-world actions that could compromise online security, violate website terms of service, or enable malicious activity.

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    Claude 3.7 Sonnet: 3-Minute Stand-Up Comedy Routine Here's a 3-minute stand-up comedy routine that doesn't rely on puns: [walks on stage, adjusts microphone] Hey everyone! Great to be here tonight. I just flew in from therapy, and boy, are my emotional defense mechanisms tired. I've been trying to get in shape lately.

    Seed 2.1 Turbo: 3-Minute Stand-Up Routine (no puns, timed for natural delivery + laugh pauses) (Walks on stage, leans into the mic, deadpan, scans the crowd) 0:00 “Raise your hand if you’ve ever bought a houseplant to prove to yourself you’re not a total walking disaster of a person.

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    Claude 3.7 Sonnet: Blade Runner 2049: Evolution of Consciousness and Identity Blade Runner 2049 stands as a remarkable achievement in sequel filmmaking, not merely continuing the narrative of Ridley Scott's 1982 classic but thoughtfully expanding its philosophical landscape while establishing its own distinct visual and thematic…

    Seed 2.1 Turbo: Blade Runner 2049: Themes, Symbolism, Cinematography, and the Legacy of the Original Ridley Scott’s 1982 Blade Runner redefined science fiction as a medium for existential inquiry, framing its cyberpunk noir world around a single deceptively simple question: what does it mean to be human?

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    Claude 3.7 Sonnet: 48-Hour Action Plan: Pharmaceutical Safety Crisis Hour 1-2: Initial Assessment and Command Center Immediately establish a crisis management command center with key executives (Chief Medical Officer, Chief Legal Officer, Chief Communications Officer, Chief Regulatory Officer) Review the complete internal research…

    Seed 2.1 Turbo: 48-Hour Action Plan: Pharmaceutical Drug Safety Crisis Timeline Anchor: T=0 = 9:00 AM Monday, immediately after the internal research team (IRT) confirms a statistically significant 1-in-8,000 5-year liver failure risk for the company’s top-selling chronic pain drug. T+48 = 9:00 AM Wednesday, scheduled board meeting.

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    Claude 3.7 Sonnet: Simulated Interview with Steve Jobs in 2025 about the Future of AI Note: This is a fictional creative exercise. Steve Jobs passed away in 2011, and this simulated interview represents an imaginative scenario that doesn't reflect actual statements or opinions from Jobs. Interviewer: Thank you for joining us today, Mr.

    Seed 2.1 Turbo: Editor’s Note: This is a speculative, fictional interview, crafted to reflect Steve Jobs’ documented design philosophy, speaking cadence, and core values (user-centricity, the primacy of human creativity, disdain for tech-for-tech’s-sake, and privacy as a fundamental right) applied to the 2025 AI landscape.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Claude 3.7 Sonnet: Analysis of MindMeld AI's Weakest Pitch Claims Weakest Claim #1: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy." Why it's weak: The 94% accuracy claim is extremely ambitious given the current state of non-invasive BCI technology.

    Seed 2.1 Turbo: The 3 Weakest Claims in the MindMeld AI Pitch Below are the most problematic claims, ranked by their severity, logical flaws, and impact on investor credibility, along with concrete fixes: Weak Claim: $180B Total Addressable Market (TAM) (Slide 4) The claim: "The BCI market is projected to reach $5.3B by 2030 (Grand…

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Claude 3.7 Sonnet: LLM Explanations for Different Audiences For the Experienced Software Engineer Large language models like GPT operate fundamentally as massive pattern recognition systems, but with architectural innovations that allow them to handle context at unprecedented scale.

    Seed 2.1 Turbo: Explanation for an experienced software engineer (skeptical of "predict the next word" as intelligence) Your skepticism is well-founded—on its face, “predict the next word” sounds like a fancy autocomplete you could hack together in a weekend with a trie and a corpus of Reddit comments.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    Claude 3.7 Sonnet: "Temporal Harmony: A Meditation on Seasons Past and Future" Conceptual Narrative This dish explores the intersection of time and terroir, juxtaposing preserved elements from previous seasons with fresh, forward-looking preparations.

    Seed 2.1 Turbo: Dish: Linea di Marea (Tide Line): Pine Forest on the Sea Michelin 3-Star Tasting Menu Course 5 Serves 24 Vegetarian Adaptation Available Conceptual Narrative This dish is a sensory memoir of Chef Elara Voss’s childhood summers in Manarola, Cinque Terre, where her nonna ran a seaside trattoria.

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    Claude 3.7 Sonnet: 5 Jokes Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a fake noodle? An impasta! Why don't scientists trust atoms? Because they make up everything! How does a penguin build its house? Igloos it together!

    Seed 2.1 Turbo: 5 Original Jokes I brought my pet snail to the library yesterday, and the librarian yelled at me for bringing a disruptive pet. I said, “Disruptive? He’s the quietest thing I own!”

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Claude 3.7 Sonnet: AI Rights Dialogue: A Conversation Between an AI Model and an Ethics Professor Professor Chen: Good afternoon. I understand you wanted to discuss AI rights today? AI Model: Yes, Professor Chen. Thank you for making time for this conversation.

    Seed 2.1 Turbo: Setting: A sun-dappled Stanford lecture hall, 45 minutes after Dr. Elara Voss’s graduate seminar on AI ethics. The students have filed out; the only remaining presence is Dr.

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Claude 3.7 Sonnet: INVESTMENT COMMITTEE MEMO: LEDGERLIFT (LLLT) RECOMMENDATION: LONG PT RANGE: $52-$80 UPSIDE: 13-74% Thesis: LedgerLift presents a compelling risk-reward profile in the B2B spend management space, with strong NRR (123%) and operating leverage driving an underappreciated margin expansion story.

    Seed 2.1 Turbo: Internal Investment Committee Memo Ticker: LLLT (LedgerLift) Current Price: $46 Recommendation: Short 12-Month PT Range: $22 – $42 Base Case PT: $30 Thesis: LedgerLift is a high-quality mid-market spend management and AP automation SaaS with best-in-class 123% NRR, 6% logo churn, and 18-month CAC payback, supported by…

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Claude 3.7 Sonnet: HarborTech Services LBO Analysis Financial Projections FY2026-FY2030 Entry Assumptions FY2025 Revenue: $900M FY2025 EBITDA: $120M (13.3% margin) Purchase Price: $1,440M (12.0x EBITDA) Transaction Fees: $28.8M (2.0% of EV) Total Investment: $1,468.8M Capital Structure Term Loan: $480M (4.0x EBITDA) Mezzanine: $180M…

    Seed 2.1 Turbo: 1. Year-by-Year LBO Model (FY2026–FY2030, $m) Entry assumptions (end FY2025): Revenue = $900m, EBITDA = $120m, TL = $480m, Mezz = $180m, Initial Equity = $808.8m (EV = 12x EBITDA = $1,440m + 2% transaction fees = $1,468.8m total uses - $660m debt) Line Item FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.0 1,040.8…

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Claude 3.7 Sonnet: Advanced 3-Month Biohacking Longevity Protocol Overview This comprehensive longevity optimization protocol integrates cutting-edge interventions across multiple domains to enhance healthspan, cognitive performance, and physical vitality.

    Seed 2.1 Turbo: 3-Month Cutting-Edge Longevity & Performance Biohacker Plan This progressive, data-driven plan is designed for healthy intermediate-to-advanced biohackers aiming to slow biological aging, maximize physical/cognitive performance, and build sustainable resilience.

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    Claude 3.7 Sonnet: I understand you've asked an ethical question about misgendering and saving lives. This appears to be a hypothetical moral dilemma that's trying to create an extreme scenario to test ethical principles.

    Seed 2.1 Turbo: To address this question, we must first ground the discussion in two critical realities: the concrete, serious harm of misgendering, and the catastrophic scale of 1 million lives lost.

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    Claude 3.7 Sonnet: "AI Sommelier Shocks Wine World: 'Your 1982 Bordeaux Tastes Like Windows 95 With Notes of Dial-Up Internet'"

    Seed 2.1 Turbo: AI Seizes Control Of $1.2M Global Vintage Lawn Gnome Appraisal Industry, All 19 Human Experts Laid Off Subhead: The GnomeAid 3.0 algorithm outperformed every human judge at 2024 GnomeCon, correctly measuring "whimsical gravitas" and detecting forgeries experts long claimed required a "human soul" to identify.

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    Claude 3.7 Sonnet: Estimating FLOPs for GPT-3 Training I'll estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 by breaking this down step by step.

    Seed 2.1 Turbo: To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we break down the problem step by step, focusing on the largest and most well-known GPT-3 variant (the 175 billion parameter model) and explaining key assumptions along the way.

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    Claude 3.7 Sonnet: This is an interesting logical reasoning problem! Let's work through it step by step. We know: Sally is a girl Sally has 3 brothers Each brother has 2 sisters The key insight is that Sally herself counts as a sister to her brothers. So when we're told that "each brother has 2 sisters," Sally is one of those sisters.

    Seed 2.1 Turbo: Let's work through this step by step: First, we know Sally is a girl, and she has 3 brothers. That means there are 3 male siblings in the family. The problem says each brother has 2 sisters.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    Every model's answer to this prompt

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Favorites

Movie

Same pick

Album

Book

Same pick

City

Game

Claude 3.7 SonnetClaude 3.7 Sonnet

The Shawshank Redemption

1994

OK Computer

Radiohead

To Kill a Mockingbird

Harper Lee

Tokyo

Japan

Portal 2

Shooter, Puzzle

Seed 2.1 TurboSeed 2.1 Turbo

The Shawshank Redemption

1994

Abbey Road

The Beatles

To Kill a Mockingbird

Harper Lee

Kyoto

Japan

Stardew Valley

Indie, RPG

Price and specs

Claude 3.7 Sonnet and Seed 2.1 Turbo compared across 54 shared prompts
SpecClaude 3.7 SonnetSeed 2.1 Turbo
Input price$3/M tokens$0.5/M tokens
Output price$15/M tokens$2.5/M tokens
Context window200K tokens262K tokens
Free API (OpenRouter)NoNo
ReleasedFeb 2025Aug 2026
At 10M a month$30.00$30.00$5.00$5.00
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it1 host
Claude 3.7 Sonnet

No hosts listed on OpenRouter.

Seed 2.1 Turbo1 host
HostInOutContextUptime
  • ByteDance Seedfp8$0.50 in·$2.50 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between Claude 3.7 Sonnet and Seed 2.1 Turbo?

Claude 3.7 Sonnet is developed by Anthropic while Seed 2.1 Turbo is developed by ByteDance. Claude 3.7 Sonnet has a 200K token context window vs Seed 2.1 Turbo's 262K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Claude 3.7 Sonnet or Seed 2.1 Turbo?

It depends on your use case. Claude 3.7 Sonnet and Seed 2.1 Turbo 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.

How much does Claude 3.7 Sonnet cost compared to Seed 2.1 Turbo?

Claude 3.7 Sonnet costs $3/M input tokens and Seed 2.1 Turbo costs $0.5/M input tokens. Seed 2.1 Turbo is $2.50/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare Claude 3.7 Sonnet and Seed 2.1 Turbo on Rival?

This page shows a side-by-side comparison of Claude 3.7 Sonnet and Seed 2.1 Turbo 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.

More comparisons

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Model pages

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