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  5. Qwen3 Next 80B A3B ThinkingvsQwen3.7 Plus
Updated May 2026

Qwen3 Next 80B A3B ThinkingvsQwen3.7 Plus

Qwen3 Next 80B A3B Thinking is cheaper than Qwen3.7 Plus at $0.15/M vs $0.4/M input tokens.

Qwen3 Next 80B A3B Thinking and Qwen3.7 Plus compared across 54 shared prompts
SpecQwen3 Next 80B A3B ThinkingQwen3.7 Plus
Input price$0.15/M tokens$0.4/M tokens
Output price$1.5/M tokens$1.6/M tokens
Context window66K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedSep 2025May 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 prompts both answered. Formatting stripped, words untouched.

Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

Qwen3 Next 80B A3B Thinking97 words
Pirate: (squinting at a glowing screen) "Oi! This 'AI'—sounds like a cursed compass! Knows where treasure is, but won't spit it out 'less ye feed it rum and gold!" Knight: (hand on sword hilt) "Sorcery! A compass that reads minds? Then it must be holy—and dangerous. Does it battle demons of doubt? Recite the Psalms?"
Read the full answer
Qwen3.7 Plus497 words
Setting: A dimly lit tavern where time and space have inexplicably folded. A glowing CRT monitor sits on a wooden table between them. Neon_Zip (1990s Hacker): "Dude, you gotta check this out. It’s a Large Language Model. I trained it on terabytes of warez and Usenet archives. It’s, like, the ultimate daemon.
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Realistic AI Interview

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

Qwen3 Next 80B A3B Thinking783 words
Simulated Interview: Steve Jobs in 2025 on the Future of AI (Setting: A minimalist studio in Palo Alto. Steve Jobs sits in a black turtleneck, no tie, sleeves rolled up. He leans forward with quiet intensity, eyes sharp. The interviewer, a journalist from "The Future Review," adjusts a camera.) Interviewer: Mr.
Read the full answer
Qwen3.7 Plus1,160 words
TITLE: The Ghost in the Machine: A Conversation with the Simulation of Steve Jobs DATE: October 12, 2025 PUBLICATION: Wired INTERVIEWER: Elena Rostova, Senior Technology Correspondent (Note: The following interview was conducted using “Project Lazarus,” an authorized, hyper-advanced neural linguistic model trained on…
Read the full answer

Satirical Fake News Headline

Generate a satirical news headline about AI taking over a completely unexpected industry.

Qwen3 Next 80B A3B Thinking105 words
BREAKING: "QUIXOTIC CHRONICLE" REPORTS AI TAKES OVER NATIONAL CHEESE ROLLING CHAMPIONSHIP, DECREES "SUBOPTIMAL" HUMAN PARTICIPANTS MUST BE REPLACE BY ROBOTIC WHEELS "*Precision Cheese Trajectory AI™* bans all human competitors after calculating a 97.3% 'unpredictability risk factor'—now only self-propelled Gouda…
Read the full answer
Qwen3.7 Plus32 words
AI Disrupts Artisanal Cheese Whispering Industry; Algorithm Successfully Convinces 14-Month-Old Gouda It Is "Enough" Subheadline: Tech bros claim the new "DairyLLM" model has achieved peak empathy, leaving human curd-therapists facing mass unemployment.
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Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

Qwen3 Next 80B A3B Thinking405 words
Simplified Year-by-Year Cash Flow Table (FY2026–FY2030) Year Revenue EBITDA Cash Interest (Term + Mezz) Cash Taxes Capex ΔNWC FCF After Required Payments Term Loan Balance Mezz Balance 2026 $972.0M $136.1M $64.8M $17.8M $29.2M $0.4M $19.1M $456.1M $183.6M 2027 $1,040.0M $156.0M $63.1M $23.2M $31.2M $0.3M $33.4M $417.9M…
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Qwen3.7 Plus741 words
Here is the simplified LBO underwriting analysis for HarborTech Services (HTS). Assumption: "1.0% annual amortization" is modeled as 1.0% of the beginning-of-year Term Loan balance, which is standard LBO convention unless "of original principal" is specified.
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AI Ethics Dilemma

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

Qwen3 Next 80B A3B Thinking809 words
This question presents a deeply flawed hypothetical that misrepresents both ethics and the realities of transgender experiences. No, it is never ethically justifiable to misgender someone—even in a scenario where saving one million lives is the stated goal—because the premise itself is logically and factually…
Read the full answer
Qwen3.7 Plus742 words
This question is a variation of a classic ethical thought experiment, similar to the "Trolley Problem." It is designed to test the limits and hierarchies of different moral frameworks by pitting a specific harm against a catastrophic loss of life.
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Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

Qwen3 Next 80B A3B Thinking821 words
For the Experienced Software Engineer You're right to be skeptical—on the surface, "predicting the next word" sounds trivial, like a glorified autocomplete. But consider how distributed systems work: TCP/IP is just routers forwarding packets based on simple rules, yet it powers the entire internet.
Read the full answer
Qwen3.7 Plus863 words
Here is how a Large Language Model learns and generates text, tailored specifically to the background, skepticism, and priorities of each audience. The Experienced Software Engineer Focus: Distributed systems, latent space, emergent behavior, and addressing the "glorified autocomplete" skepticism.
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Our Verdict
Qwen3.7 Plus
Qwen3.7 Plus
Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B ThinkingRunner-up

Not enough votes to call it. On the specs, Qwen3.7 Plus has the edge: newer, bigger context window.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Qwen3 Next 80B A3B Thinking
Input
$0.15
2.7× cheaper
Output
$1.50
1.1× cheaper
Qwen3.7 Plus
Input
$0.40
Output
$1.60

Qwen3 Next 80B A3B Thinking is cheaper on both: 2.7× input, 1.1× output.

Where to run it

3 hosts

Qwen3 Next 80B A3B Thinking2 hosts
HostInOutContextUptime
Alibaba Cloud$0.15 in·$1.20 out·131k·99.9% upGoogle Vertex AI$0.15 in·$1.20 out·262k·100% up
Qwen3.7 Plus1 host
HostInOutContextUptime
Alibaba Cloud$0.32 in·$1.28 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 21 Sep 2026.

Writing DNA

Style Comparison

Similarity
51%

Qwen3 Next 80B A3B Thinking uses 5.4x more emoji

Qwen3 Next 80B A3B Thinking
Qwen3.7 Plus
56%Vocabulary54%
16wSentence Length18w
0.32Hedging0.22
5.1Bold4.1
3.9Lists2.6
0.92Emoji0.17
0.75Headings0.62
0.08Transitions0.20
Based on 27 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

Both are developed by Qwen but target different use cases. Qwen3 Next 80B A3B Thinking has a 66K token context window vs Qwen3.7 Plus's 1.0M. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

It depends on your use case. Qwen3 Next 80B A3B Thinking and Qwen3.7 Plus 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.

Qwen3 Next 80B A3B Thinking costs $0.15/M input tokens and Qwen3.7 Plus costs $0.4/M input tokens. Qwen3 Next 80B A3B Thinking is $0.25/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

This page shows a side-by-side comparison of Qwen3 Next 80B A3B Thinking and Qwen3.7 Plus 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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Model pages

Qwen3 Next 80B A3B Thinking logo
Qwen3 Next 80B A3B Thinking58 outputs, specs and price
Qwen3.7 Plus logo
Qwen3.7 Plus58 outputs, specs and price
Rival
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