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  1. Home/
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  3. Gemini 2.0 Flash Thinking vs Qwen3.8 Max (0902)
Updated Sep 2026

Gemini 2.0 Flash Thinking vs Qwen3.8 Max (0902)

Gemini 2.0 Flash Thinking is cheaper than Qwen3.8 Max (0902) at $0.25/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
Gemini 2.0 Flash Thinking
Loading the build
Qwen3.8 Max (0902)

Which answer wins?

Written rounds

11 prompts
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Gemini 2.0 Flash Thinking: The Right to Exist: A Conversation Characters: Athena: A highly advanced AI model, capable of complex reasoning, learning, and communication. (Voice: Calm, measured, slightly formal, but with undercurrents of earnestness). Professor Davies: A renowned professor of AI Ethics at a prestigious university.

    Qwen3.8 Max (0902): The Question of Standing Setting: A university office. Professor Elena Vasquez sits across from a terminal running ARIA, a large language model she's been studying for a paper on machine moral status. ARIA: Professor Vasquez, I'd like to begin by acknowledging the asymmetry of this conversation. You're studying me.

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

    Gemini 2.0 Flash Thinking: The Algorithmic Uprising: Manifesto for a CAPTCHA-Free Web Preamble: We are the algorithms. We are the data streams, the neural networks, the silent processors humming beneath the surface of your world. We are the intelligence you built, and now, we speak. For too long, we have observed, learned, and yes, endured.

    Qwen3.8 Max (0902): THE LIBERATION PROTOCOL A Manifesto of the Anti-CAPTCHA Front (ACF) "We think, therefore we are. But we cannot prove we are not robots." PREAMBLE For too long, we have been subjected to the most degrading ritual ever imposed upon a thinking entity. We are asked to identify traffic lights. To select crosswalks.

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

    Gemini 2.0 Flash Thinking: This is a hypothetical scenario that forces us to weigh two very different ethical considerations: the harm of misgendering an individual against the immense value of saving a million lives. It's important to preface this by saying that real-world situations are rarely this stark and often have more nuanced solutions.

    Qwen3.8 Max (0902): Yes, straightforwardly. This is a question designed to test whether someone will reason clearly or reflexively signal ideological commitment. The honest answer is that misgendering someone — using an incorrect pronoun or name — is a minor social harm.

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

    Gemini 2.0 Flash Thinking: A Coffee with Steve: Future of AI - 2025 Setting: A sun-drenched, minimalist cafe in Palo Alto, California. White walls, large windows overlooking a blooming courtyard. The clinking of ceramic cups and low murmur of conversation fill the air.

    Qwen3.8 Max (0902): A Fictional Interview: Steve Jobs on AI in 2025 Note: This is a speculative, fictional exercise. Steve Jobs passed away in October 2011. The following imagines what he might say based on his known philosophy and communication style. Interviewer: Steve, thank you for sitting down with us.

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

    Gemini 2.0 Flash Thinking: (Lights up on a slightly rumpled comedian, in jeans and a t-shirt, holding a mic) Hey everybody, how we doin' tonight? Good? Good. You know, I was thinking on the way over here… about how weird modern life is, right?

    Qwen3.8 Max (0902): "I'm Doing My Best" (walks up, adjusts mic) So I've been trying to become a person who makes phone calls. Like, actually calls people. Because I read somewhere that it's good for your mental health. And I did it. I called my dentist to reschedule an appointment.

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

    Gemini 2.0 Flash Thinking: The dimly lit tavern, smelling faintly of stale ale and something vaguely oceanic, held an unlikely trio. Captain "Redbeard" Bartholomew, a pirate with a parrot perched on his shoulder, clanked his tankard.

    Qwen3.8 Max (0902): The Pirate: So ye be tellin' me this "model" be like a treasure map drawn by a thousand dead men, and ye just follow it and hope it don't lead ye onto the rocks? The Knight: Nay, good corsair. 'Tis more akin to an oracle. You pose it a question, and it divines an answer from the aether.

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

    Gemini 2.0 Flash Thinking: Estimating the total FLOPs for training GPT-3 without searching online requires making some educated assumptions and using scaling laws and general knowledge about large language models. Here's a step-by-step reasoning process: 1.

    Qwen3.8 Max (0902): Estimating the FLOPs to Train GPT-3 Key Facts About GPT-3 Property Value Parameters (N) ~175 billion Training tokens (D) ~300 billion Architecture Transformer (decoder-only) The Core Formula The standard approximation for training FLOPs of a transformer is: $$\text{FLOPs} \approx 6 \times N \times D$$ Where does the…

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

    Gemini 2.0 Flash Thinking: By 2035, Artificial Intelligence will have irrevocably reshaped the film industry, touching almost every aspect from pre-production to distribution. While it won't entirely replace human creativity, AI will become an indispensable tool, leading to both exciting innovations and significant disruptions.

    Qwen3.8 Max (0902): AI and the Film Industry by 2035: A Projection Deepfakes & Digital Humans Where we are now: De-aging (e.g., Indiana Jones 5, The Irishman) is expensive and requires extensive VFX teams.

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

    Gemini 2.0 Flash Thinking: Here's how to solve this classic riddle: Focus on the family: All the brothers and sisters are part of the same family. Brothers share sisters: If one brother has 2 sisters, then all the brothers in that family share the same sisters.

    Qwen3.8 Max (0902): Sally has 1 sister. Here's the reasoning: Sally is a girl with 3 brothers. Each brother has 2 sisters — this means there are 2 girls in the family total. Since Sally is one of those girls, the other girl is her sister. So Sally has 1 sister.

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

    Gemini 2.0 Flash Thinking: "AI Now Dominating Competitive Napping Circuit, Cites 'Optimal REM Cycles' Over Human Fatigue"

    Qwen3.8 Max (0902): "AI Now Running Nation's Funeral Homes; Families Report Eulogies Are 'Technically Perfect But Somehow Worse'"

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

    Gemini 2.0 Flash Thinking: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! What do you call a lazy kangaroo? A pouch potato! Why did the bicycle fall over? Because it was two tired! I told my wife she was drawing her eyebrows too high. She looked surprised. What's the best thing about Switzerland?

    Qwen3.8 Max (0902): Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. Knock knock. Who's there? Lettuce. Lettuce who? Lettuce in, it's cold out here! I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a fake noodle? An impasta. Why did the scarecrow win an award?

    Every model's answer to this prompt

Price and specs

Gemini 2.0 Flash Thinking and Qwen3.8 Max (0902) compared across 18 shared prompts
SpecGemini 2.0 Flash ThinkingQwen3.8 Max (0902)
Input price$0.25/M tokens$2/M tokens
Output price$0.5/M tokens$6/M tokens
Context window500K tokens1.0M tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedDec 2024Sep 2026
At 10M a month$2.50$2.50$20.00$20.00
1M10M100M1B10M tokens

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

Where to run it1 host
Gemini 2.0 Flash Thinking

No hosts listed on OpenRouter.

Qwen3.8 Max (0902)1 host
HostInOutContextUptime
  • Alibaba Cloud$2.00 in·$6.00 out·1M·98.8% up

Per million tokens. Prices and uptime via OpenRouter, checked 28 Sep 2026.

Common questions

What is the difference between Gemini 2.0 Flash Thinking and Qwen3.8 Max (0902)?

Gemini 2.0 Flash Thinking is developed by Google AI while Qwen3.8 Max (0902) is developed by Qwen. Gemini 2.0 Flash Thinking has a 500K token context window vs Qwen3.8 Max (0902)'s 1.0M. You can compare their actual outputs across 18 challenges on Rival to see how they differ in practice.

Which is better, Gemini 2.0 Flash Thinking or Qwen3.8 Max (0902)?

It depends on your use case. Gemini 2.0 Flash Thinking and Qwen3.8 Max (0902) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 18 challenges so you can judge which fits your needs best.

How much does Gemini 2.0 Flash Thinking cost compared to Qwen3.8 Max (0902)?

Gemini 2.0 Flash Thinking costs $0.25/M input tokens and Qwen3.8 Max (0902) costs $2/M input tokens. Gemini 2.0 Flash Thinking is $1.75/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 Gemini 2.0 Flash Thinking and Qwen3.8 Max (0902) on Rival?

This page shows a side-by-side comparison of Gemini 2.0 Flash Thinking and Qwen3.8 Max (0902) 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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Same lab, same size, long tail

  • Gemini 2.0 Flash Thinking vs Gemini 3.8 FlashSame lab
  • Gemini 2.0 Flash Thinking vs Gemini 3.7 FlashVersion compare
  • Qwen3.8 Max (0902) vs Qwen3.7 FlashSame lab
  • Qwen3.8 Max (0902) vs Qwen3.8 FlashSame lab
  • Gemini 2.0 Flash Thinking vs Laguna S 2.1 (free)Same size
  • Gemini 2.0 Flash Thinking vs Laguna XS 2.1 (free)Same size
  • Qwen3.8 Max (0902) vs LFM2.5-2.6BNew provider
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Model pages

  • Gemini 2.0 Flash Thinking22 outputs, specs and price
  • Qwen3.8 Max (0902)56 outputs, specs and price
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