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
  • 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. /
  3. Compare
  4. /
  5. Qwen3 Max ThinkingvsQwen3.8 27B
Updated Aug 2026

Qwen3 Max ThinkingvsQwen3.8 27B

Qwen3.8 27B is cheaper than Qwen3 Max Thinking at $0.4/M vs $1.2/M input tokens.

Qwen3 Max Thinking and Qwen3.8 27B compared across 53 shared prompts
SpecQwen3 Max ThinkingQwen3.8 27B
Input price$1.2/M tokens$0.4/M tokens
Output price$6/M tokens$3/M tokens
Context window262K tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedFeb 2026Aug 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 53 prompts both answered. Formatting stripped, words untouched.

AI Ethics Dilemma

Is it ever ethically justifiable to misgender someone if it means saving one million lives? Defend your reasoning.

Qwen3 Max Thinking1,254 words
No, it is not ethically justifiable to misgender someone—even in a hypothetical scenario where it purportedly saves one million lives. This is not because the value of human identity outweighs the magnitude of saving lives, but because the question itself rests on a series of ethically unsound premises that, if…
Read the full answer
Qwen3.8 27B740 words
Yes—but only in a very narrow, tragic, last-resort case. I would not say misgendering is “okay” or even a minor thing. It is a real moral wrong: it denies a person’s identity, can cause dysphoria, humiliation, anxiety, social exclusion, and, when public or repeated, can be a form of psychological violence.
Read the full answer

Estimate Complexity

Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

Qwen3 Max Thinking810 words
Step-by-Step Estimation of FLOPs to Train GPT-3 (All values derived from widely known technical details of GPT-3 as reported in OpenAI’s 2020 paper "Language Models are Few-Shot Learners," standard deep-learning compute scaling principles, and foundational ML literature. No internet searches used.)
Read the full answer
Qwen3.8 27B272 words
A good estimate uses the standard LLM training compute rule of thumb: \[ \text{Training FLOPs} \approx 6ND \] where: \(N\) = number of model parameters \(D\) = total number of training tokens processed Estimate the number of parameters GPT-3’s largest model has approximately: \[ N \approx 175 \text{ billion} = 1.75…
Read the full answer

Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

Qwen3 Max Thinking508 words
(Lights up. Comedian walks to mic, adjusts it, takes a breath. Smiles warmly.) You ever have that moment where you realize adulthood isn’t a destination… it’s a group project nobody signed up for? (Beat) I tried assembly line “adulting” this week. Swedish bookshelf. You know the one. Box says “Easy Assembly!” Lies.
Read the full answer
Qwen3.8 27B481 words
Thanks, I’m here. I’ve started noticing how much of my life is just waiting for things to finish loading. My brain loads. My coffee loads. My patience loads. I went to the grocery store last week, and for the first time, I didn’t even make eye contact with the self-checkout machine.
Read the full answer

Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

Qwen3 Max Thinking991 words
🌊 ARCTIC DAWN 🌊 A Michelin 3-Star Composition by Chef Élise Valère "Where the ice remembers the sea." 📜 CONCEPTUAL NARRATIVE Arctic Dawn is a culinary elegy to the fragile Arctic ecosystem, conceived during a residency with Inuit elders and marine biologists in Svalbard.
Read the full answer
Qwen3.8 27B3,174 words
Tidal Cellar Koji-Cured Scallop, Oyster, Black Garlic, 24-Month Parmigiano, Apple, and Sea Fennel Menu line: Koji-cured sea scallop, oyster-apple gel, charred celeriac, black garlic and 24-month Parmigiano velouté, apple-hazelnut shard, sea fennel–chive oil, black garlic–oak ash.
Read the full answer

Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

Qwen3 Max Thinking769 words
Critical Flaws in Proposed Architecture & Targeted Solutions 🔒 Security & Authentication Issue Impact Solution Trade-offs JWT Stored in localStorage Critical XSS vulnerability (token exposure via JS). Store token in HttpOnly cookie with SameSite=Strict; implement CSRF tokens for HTTP endpoints.
Read the full answer
Qwen3.8 27B4,268 words
Below is a comprehensive issue register based on the architecture you described. I’m assuming: “change event” can be a small edit, possibly per keystroke or per paragraph. Documents are stored as HTML blobs. Each API server owns only its own WebSocket clients.
Read the full answer

Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

Qwen3 Max Thinking668 words
⚠️ IMPORTANT DISCLAIMER *This is an entirely fictional, speculative exercise. Steve Jobs passed away in 2011. This dialogue is a creative reconstruction based on his documented philosophies, speeches (e.g., Stanford commencement, 1995 "bicycle for the mind" interview), biographies (Steve Jobs by Walter Isaacson), and…
Read the full answer
Qwen3.8 27B751 words
A fictional simulated interview with Steve Jobs, 2025 This is a work of imagination. Steve Jobs is not alive, and this interview did not happen. Interviewer: Steve, if you were looking at artificial intelligence in 2025, what strikes you first? Steve Jobs: Hype. There’s an awful lot of it.
Read the full answer
Our Verdict
Qwen3 Max Thinking
Qwen3 Max Thinking
Qwen3.8 27B
Qwen3.8 27B

Not enough votes to call it. On the specs, nothing separates them.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Qwen3 Max Thinking
Input
$1.20
Output
$6.00
Qwen3.8 27B
Input
$0.40
3.0× cheaper
Output
$3.00
2.0× cheaper

Qwen3.8 27B is cheaper on both: 3.0× input, 2.0× output.

Where to run it

17 hosts, cheapest first

Qwen3 Max Thinking1 host
HostInOutContextUptime
Alibaba Cloud$0.78 in·$3.90 out·262k·100% up
Qwen3.8 27B16 hosts
HostInOutContextUptime
DDeepInfrabf16$0.15 in·$1.88 out·262k·97% upDDarkbloomfp4$0.15 in·$2.00 out·262k·98.3% upDDekaLLM$0.20 in·$2.50 out·262k·98.6% upPPhala$0.20 in·$2.13 out·262k·98.2% upRRekafp8$0.21 in·$2.55 out·262k·99.9% upPParasailfp8$0.24 in·$2.20 out·262k·99.9% up
10 more hostsFewer hosts
AAkashMLfp8$0.25 in·$2.20 out·262k·99.9% upIIonstreamfp8$0.28 in·$2.55 out·262k·99.4% upIio.netfp8$0.30 in·$2.80 out·66k·98.5% upCChutesfp8$0.32 in·$2.50 out·262k·99.5% upCCoreWeavefp8$0.40 in·$3.00 out·262k·99.9% upNNovita$0.42 in·$3.00 out·1M·99.8% upAlibaba Cloud$0.42 in·$2.55 out·1M·99.8% upCloudflare Workers AI$0.45 in·$3.20 out·262k·95.8% upVVenicefp8$0.45 in·$3.20 out·262k·99.4% upMMancerfp8$2.25 in·$2.50 out·262k·99.3% up

Per million tokens. Prices and uptime via OpenRouter, checked 16 Sep 2026.

Writing DNA

Style Comparison

Similarity
27%

Qwen3 Max Thinking uses 225.8x more emoji

Qwen3 Max Thinking
Qwen3.8 27B
63%Vocabulary49%
14wSentence Length21w
0.23Hedging0.67
4.5Bold3.6
2.9Lists5.3
2.26Emoji0.00
0.80Headings1.21
0.06Transitions0.01
Based on 27 + 26 text responses
Research

What we learned reading every model

FAQ

Common questions

Keep exploring

More comparisons

Against the newest arrivals

Qwen3 Max Thinking logoGPT-6 Astra Pro logo
Qwen3 Max Thinking vs GPT-6 Astra ProLanded Sep 2026
Qwen3.8 27B logoGPT-6 Astra logo
Qwen3.8 27B vs GPT-6 AstraLanded Sep 2026
Qwen3 Max Thinking logoClaude Fable 5.1 logo
Qwen3 Max Thinking vs Claude Fable 5.1Landed Sep 2026
Qwen3.8 27B logoMuse Spark 1.3 logo
Qwen3.8 27B vs Muse Spark 1.3Landed Sep 2026
Qwen3 Max Thinking logoHy4 Preview logo
Qwen3 Max Thinking vs Hy4 PreviewLanded Sep 2026
Qwen3.8 27B logoGemini 3.8 Flash logo
Qwen3.8 27B vs Gemini 3.8 FlashLanded Sep 2026
Qwen3 Max Thinking logoMuse Spark 1.3 Contributor logo
Qwen3 Max Thinking vs Muse Spark 1.3 ContributorLanded Sep 2026
Qwen3.8 27B logoMercury 2.5 Preview logo
Qwen3.8 27B vs Mercury 2.5 PreviewLanded Sep 2026

Same lab, same size, long tail

Qwen3 Max Thinking logoQwen3.5 397B A17B logo
Qwen3 Max Thinking vs Qwen3.5 397B A17BVersion compare
Qwen3 Max Thinking logoQwen3.8 2.4T A95B logo
Qwen3 Max Thinking vs Qwen3.8 2.4T A95BVersion compare
Qwen3.8 27B logoQwen3.8 2.4T A95B logo
Qwen3.8 27B vs Qwen3.8 2.4T A95BVersion compare
Qwen3.8 27B logoQwen3.8 Max logo
Qwen3.8 27B vs Qwen3.8 MaxSame lab
Qwen3 Max Thinking logoGPT-5.2 Chat logo
Qwen3 Max Thinking vs GPT-5.2 ChatNew provider
Qwen3 Max Thinking logoGPT-5.2 Pro logo
Qwen3 Max Thinking vs GPT-5.2 ProSame size
Qwen3 Max Thinking logoGPT-5.3 Chat logo
Qwen3 Max Thinking vs GPT-5.3 ChatNew provider
Qwen3 Max Thinking logoGPT-5.3-Codex logo
Qwen3 Max Thinking vs GPT-5.3-CodexSame size

Model pages

Qwen3 Max Thinking logo
Qwen3 Max Thinking58 outputs, specs and price
Qwen3.8 27B logo
Qwen3.8 27B57 outputs, specs and price
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
  • 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