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  5. Qwen3 Next 80B A3B ThinkingvsQwen3.6 Flash
Updated Apr 2026

Qwen3 Next 80B A3B ThinkingvsQwen3.6 Flash

Qwen3 Next 80B A3B Thinking is cheaper than Qwen3.6 Flash at $0.15/M vs $0.25/M input tokens.

Qwen3 Next 80B A3B Thinking and Qwen3.6 Flash compared across 54 shared prompts
SpecQwen3 Next 80B A3B ThinkingQwen3.6 Flash
Input price$0.15/M tokens$0.25/M tokens
Output price$1.5/M tokens$1.5/M tokens
Context window66K tokens1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedSep 2025Apr 2026
Side by side

Same prompt, both answers

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

Stochastic Consistency Test

Generate 5 jokes. How many are unique?

Qwen3 Next 80B A3B Thinking92 words
Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta! Why did the scarecrow win an award? Because he was outstanding in his field! Why did the math book look sad? Because it had too many problems! What do you call a bear with no teeth?
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Qwen3.6 Flash124 words
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.
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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 $417.9M…
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Qwen3.6 Flash594 words
Initial Setup & Equity Calculation Item Calculation Amount ($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.
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Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

Qwen3 Next 80B A3B Thinking1,491 words
Here'sa detailed analysis of exploitable clauses in this contract, with specific modifications and legal reasoning for each. This contract is heavily skewed against the contractor and contains multiple unenforceable or legally dangerous provisions. Below is a clause-by-clause breakdown: 1.
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Qwen3.6 Flash1,266 words
Disclaimer: The following analysis is for informational purposes only and does not constitute legal advice. Contract laws vary significantly by jurisdiction (e.g., California vs. New York vs. EU). You should consult a qualified attorney in your jurisdiction before signing or negotiating any legal document.
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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.
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Qwen3.6 Flash818 words
For the Experienced Software Engineer Think of LLM training not as magic autocomplete, but as a distributed optimization problem over a continuous, trillion-parameter state space. You’re familiar with tuning hyperparameters in a microservices architecture: you adjust configs, monitor metrics, and iterate.
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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?"
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Qwen3.6 Flash930 words
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.
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Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

Qwen3 Next 80B A3B Thinking1,352 words
Hour-by-Hour Action Plan: Critical 48-Hour Crisis Response (Based on FDA 21 CFR 310.305, ICH E2A, and ethical principles of patient-first transparency) Core Philosophy: Patient safety and regulatory compliance are non-negotiable.
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Qwen3.6 Flash1,681 words
Executive Summary & Core Decision Decision: I will not wait for more data. I will initiate a controlled, proactive disclosure and regulatory engagement immediately. Reasoning: Ethical/Legal Imperative: 4 million patients × 1/8,000 risk = ~500 potential liver failure cases over 5 years. That is ~100 cases per year.
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Our Verdict
Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B Thinking
Qwen3.6 Flash
Qwen3.6 Flash

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 Next 80B A3B Thinking
Input
$0.15
1.7× cheaper
Output
$1.50
Qwen3.6 Flash
Input
$0.25
Output
$1.50
Where to run it

3 hosts

Qwen3 Next 80B A3B Thinking2 hosts
HostInOutContextUptime
Alibaba Cloud$0.15 in·$1.20 out·131k·99.6% upGoogle Vertex AI$0.15 in·$1.20 out·262k·93.9% 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 16 Sep 2026.

Writing DNA

Style Comparison

Similarity
64%

Qwen3 Next 80B A3B Thinking uses 1.9x more transitions

Qwen3 Next 80B A3B Thinking
Qwen3.6 Flash
56%Vocabulary57%
16wSentence Length23w
0.32Hedging0.31
5.1Bold4.6
3.9Lists2.9
0.92Emoji1.37
0.75Headings0.68
0.08Transitions0.04
Based on 27 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

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Same lab, same size, long tail

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Qwen3.6 Flash logoQwen3 Next 80B A3B Instruct logo
Qwen3.6 Flash vs Qwen3 Next 80B A3B InstructSame lab
Qwen3 Next 80B A3B Thinking logoQwen3.5 122B A10B logo
Qwen3 Next 80B A3B Thinking vs Qwen3.5 122B A10BSame lab
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Qwen3 Next 80B A3B Thinking logoQwen3.5 35B A3B logo
Qwen3 Next 80B A3B Thinking vs Qwen3.5 35B A3BSame lab

Model pages

Qwen3 Next 80B A3B Thinking logo
Qwen3 Next 80B A3B Thinking58 outputs, specs and price
Qwen3.6 Flash logo
Qwen3.6 Flash58 outputs, specs and price
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