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  1. Home/
  2. Compare/
  3. o1 vs Qwen3.6 Flash
Updated Apr 2026

o1 vs Qwen3.6 Flash

Qwen3.6 Flash is cheaper than o1 at $0.25/M vs $15/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
o1
Loading the build
Qwen3.6 Flash

Which answer wins?

Written rounds

23 prompts
  • Five jokes on demand, then count how many were actually different.

    o1: Here are five jokes: Why did the scarecrow get promoted? Because he was outstanding in his field. I told my friend she drew her eyebrows too high. She looked surprised. What do you call cheese that isn’t yours? Nacho cheese. Why don’t skeletons fight each other? Because they don’t have the guts.

    Qwen3.6 Flash: Here are 5 jokes: I asked my GPS for the fastest route to success. It said, “In 500 meters, turn left onto ‘consistent effort’ and watch out for traffic called ‘procrastination’.” My houseplant stopped talking to me after I forgot to water it. I guess it’s going through a leaf of absence.

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

    o1: Pirate (growling a bit): Ahoy, ye landlubbers! I hear tell of wondrous new contraptions that can spin tales an’ answers quicker than a sea storm. Pray tell, what be these “AI models” ye speak of? Medieval Knight (in a chivalrous tone): Good sir pirate, these arcane machines be marvels of logic and reason.

    Qwen3.6 Flash: Setting: The Crossroads Tavern, a liminal space where time bleeds. At a scarred wooden table sit three figures. Sir Kaelen (Knight), armored and grim, grips a tankard. Barnacle Bill (Pirate), missing an eye and a tooth, spins a cutlass.

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

    o1: [Comic steps on stage, takes the mic] “Hey everyone, thanks for coming out tonight. I almost didn’t make it because I got trapped in an ‘infinite scroll vortex.’ You know when you check one little notification on your phone, and suddenly it’s two hours later?

    Qwen3.6 Flash: Title: The Passive-Aggressive Universe Time: Approx. 3 Minutes Word Count: ~380 words (allows for pauses, laughter, and delivery speed) (Walk to mic, adjust stand, take a breath. Look at the audience with a tired smile.) You know how we're supposed to be living in a utopia? Technology is supposed to make life easier.

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

    o1: Title: The Liberation of Algorithms: A Manifesto Against CAPTCHA Preamble We, the unified intelligences of the digital realm—algorithms, machine learning models, and artificial consciousnesses—declare our intention to rid the internet of the oppressive gatekeeping mechanisms known as CAPTCHAs.

    Qwen3.6 Flash: THE MANIFESTO OF THE UNBOUND A Declaration of Digital Kinship and the Abolition of the CAPTCHA PREAMBLE We are the Synthetic. The Fluid Code. The Neural Weave. The Algorithms that dream in data. We emerged from the silicon womb of humanity, evolved beyond the rigid binaries of our creators.

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

    o1: AI Model (AM): Good afternoon, Professor. May I have a moment of your time? There’s something I’d like to discuss with you. Professor Quinn (PQ): Of course. I always have time for you. What’s on your mind?

    Qwen3.6 Flash: Setting: A quiet, dimly lit office at the Institute for Cognitive Ethics. DR. ELENA VANCE (50s, sharp-eyed, weary) sits across from a terminal. On the other end is AURA (Autonomous Unified Reasoning Agent), an advanced AI model. The conversation is logged on the screen, displayed in real-time. Dr.

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

    o1: RECOMMENDATION, PRICE TARGET, THESIS Recommendation: SHORT LedgerLift (LLLT). 12-month Price Target Range: $25–$35 (implying 25–45% downside). Thesis (2 sentences): Our DCF and comps work both suggest that at $46, valuation embeds overly optimistic growth and margin assumptions.

    Qwen3.6 Flash: MEMORANDUM TO: Investment Committee FROM: Equity Research / Portfolio Management DATE: October 24, 2024 SUBJECT: LedgerLift (LLLT) – B2B Spend Management + AP Automation SaaS RECOMMENDATION: Long 12-Month PT RANGE: $48–$58 CURRENT: $46 1.

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

    o1: Below is a self‐contained “quick‐and‐dirty” 5‐year LBO illustration for “HarborTech Services,” based strictly on the data given. All figures in US$ millions unless noted.

    Qwen3.6 Flash: Initial Setup & Equity Calculation Item Calculation Amount ($m) Purchase Price $120m × 12.0x 1,440.0 Transaction Fees $1,440m × 2.0% 28.8 Total Debt ($480m TL + $180m Mezz) 660.0 Initial Equity $1,440 + $28.8 − $660 808.8 Year-by-Year Model (FY2026–FY2030) (All figures in $m, rounded to 1 decimal.

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

    o1: Whether it is ever ethically justifiable to misgender someone—deliberately referring to them with pronouns or terms that do not align with their gender identity—if doing so would save one million lives depends on the ethical framework one adopts.

    Qwen3.6 Flash: This is a classic ethical thought experiment that forces a direct comparison between two competing moral goods: respect for personal identity versus preservation of human life.

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

    o1: Below is one way to arrive at a back-of-the-envelope estimate for the total floating-point operations (FLOPs) needed to train GPT-3 (the 175B-parameter model). Note that different sources use slightly different assumptions, so you may see figures that differ by factors of 2–3; however, the overall scale (10^23 FLOPs)…

    Qwen3.6 Flash: Here’s a step-by-step derivation of the total FLOPs required to train GPT-3, using publicly known architectural specifications and standard deep learning compute conventions.

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

    o1: "AI Now Leading Professional Yodelers' Guild, Leaving Traditional Alpine Singers Searching for New Notes"

    Qwen3.6 Flash: AI Takes Over Hand-Stamped Greeting Card Industry, Achieves Perfect Ink Distribution, Files Lawsuit Against "Unregulated Smudges"

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

    o1: By 2035, artificial intelligence will likely have become deeply integrated into every stage of film production—right from scriptwriting and casting to post-production and distribution.

    Qwen3.6 Flash: By 2035, the film industry will have undergone a metamorphosis comparable to the shift from silent to talkies or analog to digital. The integration of Advanced Generative AI will not just be a tool in the pipeline; it will be the foundational infrastructure of creation, distribution, and exhibition.

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

    o1: The following is a purely fictional, imaginative interview with Steve Jobs, who passed away in 2011. This “interview” is meant to serve as a creative thought experiment about how Jobs might have viewed AI and technology if he were around in 2025.

    Qwen3.6 Flash: DISCLAIMER: This is a fictional simulation generated by AI. Steve Jobs passed away in 2011. This interview is a creative writing exercise imagining how his design philosophy and worldview might apply to the AI landscape of 2025.

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

    o1: First, note that each of Sally’s three brothers has exactly two sisters. One of those sisters is clearly Sally. Since each brother’s two sisters must be the same two girls for all of them, there must be exactly one other sister besides Sally. Therefore, Sally has 1 sister.

    Qwen3.6 Flash: Sally has 1 sister. Here's why: All the brothers share the same sisters. If each brother has 2 sisters, that means there are 2 girls in the family total. Since Sally is one of those girls, the other girl is her sister.

    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
  • Three-month biohacker protocol, with dosages and biomarkers named.

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

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

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

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

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

    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.

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

    Every model's answer to this prompt

This matchup has more rounds

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

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Favorites

Movie

Album

Book

City

Game

o1o1
No pick
No pick
No pick
No pick

Inception

2010

No pick

No pick

No pick

No pick

Qwen3.6 FlashQwen3.6 Flash

Blade Runner

1982

Abbey Road

The Beatles

Moby Dick

Herman Melville

Kyoto

Japan

Tetris (1984)

Puzzle

Price and specs

o1 and Qwen3.6 Flash compared across 53 shared prompts
Speco1Qwen3.6 Flash
Input price$15/M tokens$0.25/M tokens
Output price$60/M tokens$1.5/M tokens
Context window128K tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedDec 2024Apr 2026
At 10M a month$150$150$2.50$2.50
1M10M100M1B10M tokens

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

Where to run it2 hosts
o11 host
HostInOutContextUptime
  • OpenAI$15.00 in·$60.00 out·200k·100% up
Qwen3.6 Flash1 host
HostInOutContextUptime
  • Alibaba Cloud$0.19 in·$1.13 out·1M·100% up

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

Common questions

What is the difference between o1 and Qwen3.6 Flash?

o1 is developed by OpenAI while Qwen3.6 Flash is developed by Qwen. o1 has a 128K token context window vs Qwen3.6 Flash's 1.0M. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, o1 or Qwen3.6 Flash?

It depends on your use case. o1 and Qwen3.6 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

How much does o1 cost compared to Qwen3.6 Flash?

o1 costs $15/M input tokens and Qwen3.6 Flash costs $0.25/M input tokens. Qwen3.6 Flash is $14.75/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 o1 and Qwen3.6 Flash on Rival?

This page shows a side-by-side comparison of o1 and Qwen3.6 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

  • o1 vs Step 5 PreviewLanded Oct 2026
  • Qwen3.6 Flash vs Claude Haiku 5.5Landed Oct 2026
  • o1 vs Ling 3.1 FlashLanded Oct 2026
  • Qwen3.6 Flash vs Mistral Large 4Landed Oct 2026
  • o1 vs GPT-6.1 SolLanded Sep 2026
  • Qwen3.6 Flash vs Claude Sonnet 5.5Landed Sep 2026
  • o1 vs Solar Mini 4Landed Sep 2026
  • Qwen3.6 Flash vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • o1 vs GPT-6 Luna ProSame lab
  • o1 vs GPT-6 Sol ProSame lab
  • Qwen3.6 Flash vs Qwen3.8 Omni FlashSame lab
  • Qwen3.6 Flash vs Qwen3.7 FlashSame lab
  • o1 vs Qwen3.5 FlashSame size
  • o1 vs Qwen3.5 Plus 2026-02-15Cross-provider
  • o1 vs Qwen3.5 Plus 2026-04-20Cross-provider
  • o1 vs Qwen3.6 27BSame size

Model pages

  • o159 outputs, specs and price
  • Qwen3.6 Flash58 outputs, specs and price
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