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  5. Qwen3 Next 80B A3B ThinkingvsQwen3.8 27B
Updated Aug 2026

Qwen3 Next 80B A3B ThinkingvsQwen3.8 27B

Qwen3 Next 80B A3B Thinking is cheaper than Qwen3.8 27B at $0.15/M vs $0.4/M input tokens.

Qwen3 Next 80B A3B Thinking and Qwen3.8 27B compared across 53 shared prompts
SpecQwen3 Next 80B A3B ThinkingQwen3.8 27B
Input price$0.15/M tokens$0.4/M tokens
Output price$1.5/M tokens$3/M tokens
Context window66K tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedSep 2025Aug 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 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
Qwen3.8 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.
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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
Qwen3.8 27B1,144 words
For an experienced software engineer Think of a large language model as a stateless inference service plus an enormous offline training pipeline. At inference time, the model takes a prompt, converts it into tokens, and produces a probability distribution over the next token.
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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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Qwen3.8 27B177 words
Pirate: “Aye, I’ve heard tell of these ‘AI models’—what manner of beast are they? Do they sink ships or hoard gold?” Knight: “Nay, sir. They are not beasts, but servants of knowledge. They learn from countless books and answer as if learned in the finest library.”
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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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Qwen3.8 27B3,682 words
This is a general contractor-side risk review, not legal advice. The agreement is heavily one-sided and should not be signed as drafted. Many provisions may be negotiable, and some may be unenforceable depending on jurisdiction, but you should not rely on unenforceability as your main protection.
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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.
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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.
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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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Qwen3.8 27B692 words
All figures in $m unless noted. Assumptions: 12.0x entry multiple is EV/EBITDA. Interest is calculated on beginning-of-year debt balances. Mandatory Term Loan amortization = 1% of original Term Loan = $4.8m/yr. Mezz PIK = 2% of beginning Mezz balance, compounded into principal.
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Our Verdict
Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B 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 Next 80B A3B Thinking
Input
$0.15
2.7× cheaper
Output
$1.50
2.0× cheaper
Qwen3.8 27B
Input
$0.40
Output
$3.00

Qwen3 Next 80B A3B Thinking is cheaper on both: 2.7× input, 2.0× output.

Where to run it

18 hosts, cheapest first

Qwen3 Next 80B A3B Thinking2 hosts
HostInOutContextUptime
Alibaba Cloud$0.15 in·$1.20 out·131k·99.7% upGoogle Vertex AI$0.15 in·$1.20 out·262k·94.7% up
Qwen3.8 27B16 hosts
HostInOutContextUptime
DDeepInfrabf16$0.15 in·$1.88 out·262k·92.7% upDDarkbloomfp4$0.15 in·$2.00 out·262k·99.3% upDDekaLLM$0.20 in·$2.50 out·262k·99.3% upPPhala$0.20 in·$2.13 out·262k·97.1% upRRekafp8$0.21 in·$2.55 out·262k·99.8% upPParasailfp8$0.24 in·$2.20 out·262k·99.7% up
10 more hostsFewer hosts
AAkashMLfp8$0.25 in·$2.20 out·262k·99.8% upMMancerfp8$0.25 in·$2.75 out·262k·98.4% upIIonstreamfp8$0.28 in·$2.55 out·262k·99.3% upIio.netfp8$0.30 in·$2.80 out·66k·98.3% 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·91.2% upVVenicefp8$0.45 in·$3.20 out·262k·99.5% up

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

Writing DNA

Style Comparison

Similarity
36%

Qwen3 Next 80B A3B Thinking uses 92.0x more emoji

Qwen3 Next 80B A3B Thinking
Qwen3.8 27B
56%Vocabulary49%
16wSentence Length21w
0.32Hedging0.67
5.1Bold3.6
3.9Lists5.3
0.92Emoji0.00
0.75Headings1.21
0.08Transitions0.01
Based on 27 + 26 text responses
Research

What we learned reading every model

FAQ

Common questions

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Model pages

Qwen3 Next 80B A3B Thinking logo
Qwen3 Next 80B A3B Thinking58 outputs, specs and price
Qwen3.8 27B logo
Qwen3.8 27B57 outputs, specs and price
Rival
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Explore all of Rival

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