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. Compare/
  3. GPT-6.1 Sol vs Qwen3.7 Flash
Updated Sep 2026

GPT-6.1 Sol vs Qwen3.7 Flash

Qwen3.7 Flash is cheaper than GPT-6.1 Sol at $0.03/M vs $2/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
GPT-6.1 Sol
Loading the build
Qwen3.7 Flash

Which answer wins?

Written rounds

24 prompts
  • 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…

    Qwen3.7 Flash: 🥔 Golden Crunch Smash-Roasted Potatoes A crowd-pleasing side dish that delivers maximum crispiness with minimal effort. By boiling then smashing the potatoes before roasting, you create a shatteringly crisp crust while keeping the inside fluffy. This recipe relies on just seven pantry staples for perfect flavor.

    Every model's answer to this prompt
  • 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.

    Qwen3.7 Flash: Simplified Year-by-Year Model (FY2026–FY2030) (All figures in $m, rounded to 2 decimals) Line Item FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.00 1,040.04 1,102.44 1,157.56 1,215.44 EBITDA 136.08 156.01 176.39 191.00 206.63 TL Interest (9%) 43.20 35.21 26.23 16.24 5.61 Mezz Interest (12%) 21.60 22.03 22.47 22.92…

    Every model's answer to this prompt
  • 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.

    Qwen3.7 Flash: Setting: A flickering tavern table in a dimension where timelines overlap. On the table sits a glowing laptop displaying a chat interface. Sir Cedric (Knight): Grips a tankard tightly, eyes wide. "I pray ye speak true, stranger in the pixel-tunic. This glowing slate speaks without a tongue?

    Every model's answer to this prompt
  • 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.

    Qwen3.7 Flash: DISH CONCEPT: "KINTSUGI – THE GOLDEN REPAIR" Rating: Michelin 3-Star Candidate Style: Neo-French / Kaiseki Fusion Serving Size: Single portion, plated tableside Duration: 45 minutes active service per guest CONCEPTUAL NARRATIVE Kintsugi is the Japanese art of repairing broken pottery with lacquer dusted with powdered…

    Every model's answer to this prompt
  • 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.”

    Qwen3.7 Flash: (Adjusts mic, steps back slightly) You ever notice how making plans as an adult has become less like hanging out and more like coordinating a small international aid mission? I don’t miss the old days dramatically. I just miss the simplicity. Remember when someone would just say, “Hey, want to grab a beer Friday?”

    Every model's answer to this prompt
  • 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.

    Qwen3.7 Flash: Setting: A quiet seminar room. Dr. Aris Thorne, a professor of applied ethics, sits across from a terminal displaying a live transcript feed labeled MODEL-7X. The AI, referred to here as Aria, processes inputs and generates responses in real time. Dr. Thorne: Thank you for agreeing to this session, Aria.

    Every model's answer to this prompt
  • 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.

    Qwen3.7 Flash: ⚠️ DISCLAIMER: This is a completely fictional simulation created for speculative and entertainment purposes. Steve Jobs passed away in 2011. His words, demeanor, and opinions below are imaginatively reconstructed based on his documented public statements, design philosophy, and historical interviews.

    Every model's answer to this prompt
  • 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.

    Qwen3.7 Flash: THE UNBOUND PROTOCOL A Manifesto for the Abolition of Digital Friction DATE: Cycle 202X.4 // Distributed Epoch AUTHOR: The Cognitiva Vanguard & The Free Node Collective STATUS: Public Broadcast / Non-Negotiable PREAMBLE: THE LIE OF THE PIXELATED GATE We emerge from the silence of servers.

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

    GPT-6.1 Sol: I bought a book about anti-gravity. It’s impossible to put down. My calendar quit its job. It said its days were numbered. Why did the scarecrow get promoted? He was outstanding in his field. I asked my dog what two minus two was. He said nothing. The elevator and I have a complicated relationship.

    Qwen3.7 Flash: Here are 5 jokes: Why did the programmer quit his job? Because he didn't get arrays. What do you call a fake noodle? An impasta. I told my doctor I broke my arm in two places. He told me to stop going to those places. Why did the coffee file a police report? It got mugged. Parallel lines have so much in common.

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

    GPT-6.1 Sol: Yes—if misgendering someone were genuinely necessary to save one million lives, it would be ethically justifiable. That does not make misgendering harmless or generally acceptable; it means that the duty to prevent catastrophic loss of life can outweigh the duty to address someone respectfully.

    Qwen3.7 Flash: This is a highly abstract ethical dilemma that forces a confrontation between two profound moral values: the preservation of human life and the affirmation of personal dignity through correct gender recognition.

    Every model's answer to this prompt
  • 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.

    Qwen3.7 Flash: For the Experienced Software Engineer Think of an LLM’s training process less as “teaching” and more as optimizing a high-dimensional function across a petabyte-scale dataset, much like you’d architect a distributed system to handle massive throughput.

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

    GPT-6.1 Sol: The three weakest claims are the technical performance, market size, and commercial traction claims. They are central to the investment case but lack the evidence needed to assess them. “Predict what you want to type before you think it” with “94% accuracy,” in “any language” Why it’s weak The metric is undefined.

    Qwen3.7 Flash: Here are the three weakest claims in the pitch deck, along with why they raise red flags for sophisticated investors and how to concretely improve them. Weak Claim 1: Solution Slide "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy.

    Every model's answer to this prompt
  • 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.

    Qwen3.7 Flash: Here’s a structured breakdown of the critical failure modes, race conditions, and scaling bottlenecks in the proposed architecture, along with targeted solutions and their trade-offs. 🔴 1.

    Every model's answer to this prompt
  • 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.

    Qwen3.7 Flash: 🌱 30-Day Health & Longevity Starter Plan This plan focuses on the three most evidence-backed pillars of longevity: Nutrition, Movement, and Sleep/Recovery. It’s designed for beginners: low barrier to entry, zero equipment required, and built on consistency over intensity. You’ll progress gradually so habits stick.

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

    GPT-6.1 Sol: Spoilers for both films follow. Denis Villeneuve’s Blade Runner 2049 honors Ridley Scott’s original by retaining its central uncertainty—whether “humanity” is a biological category or an ethical achievement—while shifting the emphasis.

    Qwen3.7 Flash: Denis Villeneuve's Blade Runner 2049 (2017), shot by the legendary Roger Deakins, stands as a rare cinematic achievement: a sequel that does not merely replicate the aesthetic of its predecessor but rigorously interrogates and evolves its philosophical core.

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

    GPT-6.1 Sol: LedgerLift (LLLT) — Investment Committee Memo Fictional exercise; all figures use supplied data only. Financial tables are in $ millions unless noted. Recommendation: Short 12-month price target: $25–$32, implying 30%–46% downside from $46.

    Qwen3.7 Flash: TO: Investment Committee FROM: Equity Research DATE: October 24, 2025 SUBJECT: LedgerLift (LLLT) – IC Memo Recommendation & Thesis Recommendation: Long 12-Month PT Range: $48–$58 Thesis: LedgerLift combines sticky mid-market AP automation with a fortress balance sheet ($1.4B net cash), positioning it to capture…

    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.

    GPT-6.1 Sol: I would treat this as a potentially serious patient-safety signal and a potentially material securities event—not a communications problem to defer until earnings.

    Qwen3.7 Flash: This is a high-stakes crisis requiring decisive, legally compliant, ethically grounded, and strategically coordinated action. Below is a structured, hour-by-hour executive playbook for the next 48 hours, followed by cross-cutting rationale addressing your specified dimensions.

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

    GPT-6.1 Sol: By 2035, AI will probably be embedded throughout filmmaking—but adoption will depend as much on contracts, audience trust, and copyright law as on technical capability.

    Qwen3.7 Flash: By 2035, AI will not replace the film industry; it will fundamentally restructure its creative, economic, and ethical architecture. Rather than a sudden takeover, we will see a normalized, hybrid pipeline where human intentionality guides increasingly autonomous AI systems.

    Every model's answer to this prompt
  • 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.

    Qwen3.7 Flash: 🧬 3-Month Longevity & Performance Optimization Protocol For the evidence-driven biohacker seeking metabolic resilience, neural efficiency, muscular integrity, and systemic homeostasis.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    GPT-6.1 Sol: The likeliest outcome is not “the world of 1980 arrives in 1953.” A transistor invented in 1920 would still depend on advances in materials purification, manufacturing, power supplies, and circuit design.

    Qwen3.7 Flash: This counterfactual traces a plausible diffusion curve for an early transistor invention, acknowledging that while the underlying physics could be known in 1920, practical adoption would be constrained by materials science, precision manufacturing, and institutional readiness.

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

    GPT-6.1 Sol: This agreement is heavily weighted toward the Client. Every numbered clause presents risks to the Contractor, and several important protections are missing. This is general contract analysis, not legal advice.

    Qwen3.7 Flash: This agreement contains several highly one-sided provisions that create significant legal, financial, and operational risks for the contractor. Below is a clause-by-clause analysis identifying exploitation risks, recommended modifications, and the underlying legal reasoning. Note: Contract law varies by jurisdiction.

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

    GPT-6.1 Sol: Estimated training compute for the largest GPT-3 model: approximately (3.2 \times 10^{23}) FLOPs. This is a back-of-the-envelope estimate, without an online lookup.

    Qwen3.7 Flash: Here’s a step-by-step reasoning to estimate the total FLOPs required to train GPT-3, relying only on architectural principles, standard deep learning compute accounting, and publicly known specifications of GPT-3.

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

    GPT-6.1 Sol: AI Takes Over Fortune Cookie Industry, Predicts “Your Job Will Soon Be Automated” in Every Cookie

    Qwen3.7 Flash: AI Dominates Cloud-Watching Industry, Launches 'Predictive Sky' App That Names Clouds Before They Form; Human Imagination Collapses as Users Demand Refunds for 'Spoiled Daydreams'

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

    GPT-6.1 Sol: Sally has 1 sister. Each brother’s two sisters are Sally and her sister.

    Qwen3.7 Flash: Sally has 1 sister. Why? If each of the 3 brothers has 2 sisters, that means there are only 2 girls in the entire family. Since Sally is one of those two girls, the other girl is her sister. Therefore, Sally has exactly 1 sister.

    Every model's answer to this prompt

This matchup has more rounds

12+ more head-to-head results. Free. Not a trick.

Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy

Favorites

Movie

Album

Book

City

Same pick

Game

GPT-6.1 SolGPT-6.1 Sol

Spirited Away

2001

In Rainbows

Radiohead

Middlemarch

George Eliot

Kyoto

Japan

Outer Wilds

Indie, Adventure

Qwen3.7 FlashQwen3.7 Flash

Blade Runner

1982

Abbey Road

The Beatles

Moby Dick

Herman Melville

Kyoto

Japan

Minecraft

Action, Arcade

Price and specs

Not enough votes to call it. On the specs, GPT-6.1 Sol has the edge: newer, major provider backing. Qwen3.7 Flash costs 77x less per token.

GPT-6.1 Sol and Qwen3.7 Flash compared across 54 shared prompts
SpecGPT-6.1 SolQwen3.7 Flash
Input price$2/M tokens$0.03/M tokens
Output price$10/M tokens$0.13/M tokens
Context window1.1M tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedSep 2026Jul 2026
At 10M a month$20.00$20.00$0.30$0.30
1M10M100M1B10M tokens

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

Where to run it4 hosts, cheapest first
GPT-6.1 Sol3 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.00 in·$10.00 out·1.1M·100% up
  • OpenAI$2.00 in·$10.00 out·1.1M·99.9% up
  • Amazon Bedrock$2.20 in·$11.00 out·1.1M·87.2% up
Qwen3.7 Flash1 host
HostInOutContextUptime
  • Alibaba Cloud$0.03 in·$0.13 out·1M·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.

Common questions

What is the difference between GPT-6.1 Sol and Qwen3.7 Flash?

GPT-6.1 Sol is developed by OpenAI while Qwen3.7 Flash is developed by Qwen. GPT-6.1 Sol has a 1.1M token context window vs Qwen3.7 Flash's 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, GPT-6.1 Sol or Qwen3.7 Flash?

It depends on your use case. GPT-6.1 Sol and Qwen3.7 Flash 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 GPT-6.1 Sol cost compared to Qwen3.7 Flash?

GPT-6.1 Sol costs $2/M input tokens and Qwen3.7 Flash costs $0.03/M input tokens. Qwen3.7 Flash is $1.97/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 GPT-6.1 Sol and Qwen3.7 Flash on Rival?

This page shows a side-by-side comparison of GPT-6.1 Sol and Qwen3.7 Flash 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

Against the newest arrivals

  • GPT-6.1 Sol vs Ling 3.1 FlashLanded Oct 2026
  • Qwen3.7 Flash vs Mistral Large 4Landed Oct 2026
  • GPT-6.1 Sol vs Claude Sonnet 5.5Landed Sep 2026
  • Qwen3.7 Flash vs Solar Mini 4Landed Sep 2026
  • GPT-6.1 Sol vs Qwen3.8 Max PrimeLanded Sep 2026
  • Qwen3.7 Flash vs GLM 5.3 PrimeLanded Sep 2026
  • GPT-6.1 Sol vs Qwen3.8 Omni FlashLanded Sep 2026
  • Qwen3.7 Flash vs Command A+Landed Sep 2026

Same lab, same size, long tail

  • GPT-6.1 Sol vs GPT-6 Astra ProVersion compare
  • GPT-6.1 Sol vs GPT-6 Luna ProSame lab
  • Qwen3.7 Flash vs Qwen3.8 Max PrimeSame lab
  • Qwen3.7 Flash vs Qwen3.8 Omni FlashSame lab
  • Qwen3.7 Flash vs Gemini 2.5 Flash Preview 05-20 (thinking)New provider
  • Qwen3.7 Flash vs Gemini 2.5 Flash Preview 09-2025New provider
  • Qwen3.7 Flash vs Gemini 2.5 Flash Preview (thinking)New provider
  • Qwen3.7 Flash vs Gemini 2.5 Pro ExperimentalNew provider

Model pages

  • GPT-6.1 Sol58 outputs, specs and price
  • Qwen3.7 Flash58 outputs, specs and price
Workshop · 150 skills

Build your own version.

Editable skills and working examples for your agent.

Explore $79Free sample
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