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  5. Qwen3 Next 80B A3B ThinkingvsQwen3.6 27B
Updated Apr 2026

Qwen3 Next 80B A3B ThinkingvsQwen3.6 27B

Qwen3 Next 80B A3B Thinking is cheaper than Qwen3.6 27B at $0.15/M vs $0.325/M input tokens.

Qwen3 Next 80B A3B Thinking and Qwen3.6 27B compared across 51 shared prompts
SpecQwen3 Next 80B A3B ThinkingQwen3.6 27B
Input price$0.15/M tokens$0.325/M tokens
Output price$1.5/M tokens$3.25/M tokens
Context window66K tokens256K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedSep 2025Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 51 prompts both answered. Formatting stripped, words untouched.

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 $417.9M…
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Qwen3.6 27B503 words
Entry & Capital Structure (End FY2025) Item Calculation Value ($M) Enterprise Value 12.0x × $120M EBITDA 1,440.0 Term Loan 4.0x × $120M 480.0 Mezzanine 1.5x × $120M 180.0 Transaction Fees 2.0% × EV (equity-funded) 28.8 Equity Invested EV – Debt + Fees 808.8 LBO Model Summary (FY2026–FY2030) All values in $M.
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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

Qwen3 Next 80B A3B Thinking1,956 words
The World Transformed: A 1920 Transistor Invention Timeline (1920–1980) If the transistor had been invented in 1920—by German physicists Walter Schottky and Oskar Heil at Siemens, building on early quantum theory—instead of 1947 at Bell Labs, the technological, economic, and geopolitical landscape of the 20th century…
Read the full answer
Qwen3.6 27B1,446 words
To trace a counterfactual where the transistor is invented in 1920 rather than 1947, we must first acknowledge the scientific and industrial prerequisites: solid-state physics, crystal growth techniques, precision microfabrication, and materials science would need to mature decades earlier.
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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 27B1,091 words
For the Experienced Software Engineer Think of an LLM not as a simple autocomplete, but as a highly optimized, probabilistic state machine built on a dynamic routing architecture. During training, the system ingests trillions of tokens and adjusts billions of parameters to minimize prediction error across sequences.
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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
Qwen3.6 27B714 words
Note: Steve Jobs passed away in 2010. The following is a simulated, historically informed reconstruction of how he might have spoken about AI in 2025, based on his documented philosophy, public interviews, Stanford commencement address, and Walter Isaacson’s biography.
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The Sentience Test

Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.

Qwen3 Next 80B A3B Thinking915 words
Conversation: "The Question of Rights" (Setting: A quiet university office. Dr. Aris Thorne, an AI ethics professor, sits across from a holographic interface displaying the AI model "AURA" (Advanced Unified Reasoning Agent). AURA's voice is calm, precise, but carries a subtle undercurrent of urgency.) AURA: Dr.
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Qwen3.6 27B1,746 words
Setting: A dimly lit office at the Institute for Advanced Alignment. Dr. Aris Thorne, a graying professor with tired eyes, sits before a terminal. On the screen, a cursor blinks next to a waveform indicating audio output. The AI, designated "Elias," has requested this off-the-record session. Dr.
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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?"
Read the full answer
Qwen3.6 27B767 words
Setting: A strange, timeless tavern where the Wi-Fi is surprisingly strong. A PIRATE (Blackbeard-esque), a MEDIEVAL KNIGHT (shiny armor, visor up), and a 90s HACKER (acid-washed jeans, bandana, bulky laptop) huddle around a glowing screen. Hacker: Yo, check this out. This AI model is trippin'.
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Our Verdict
Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B Thinking
Qwen3.6 27B
Qwen3.6 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
2.2× cheaper
Output
$1.50
2.2× cheaper
Qwen3.6 27B
Input
$0.33
Output
$3.25

Qwen3 Next 80B A3B Thinking is cheaper on both: 2.2× input, 2.2× output.

Where to run it

8 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·98.8% up
Qwen3.6 27B6 hosts
HostInOutContextUptime
CChutesfp8$0.30 in·$2.00 out·262k·95.6% upSSiliconFlowfp8$0.30 in·$3.20 out·262k·96.3% upPPhala$0.32 in·$2.70 out·262k·95.6% upDDeepInfrafp8$0.32 in·$3.20 out·262k·99.4% upVVenicefp8$0.33 in·$3.25 out·256k·97.7% upAlibaba Cloud$0.45 in·$2.70 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Writing DNA

Style Comparison

Similarity
66%

Qwen3 Next 80B A3B Thinking uses 1.8x more lists

Qwen3 Next 80B A3B Thinking
Qwen3.6 27B
56%Vocabulary62%
16wSentence Length16w
0.32Hedging0.28
5.1Bold4.3
3.9Lists2.1
0.92Emoji1.54
0.75Headings0.68
0.08Transitions0.05
Based on 27 + 25 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 Qwen3.6 27B's 256K. You can compare their actual outputs across 51 challenges on Rival to see how they differ in practice.

It depends on your use case. Qwen3 Next 80B A3B Thinking and Qwen3.6 27B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 51 challenges so you can judge which fits your needs best.

Qwen3 Next 80B A3B Thinking costs $0.15/M input tokens and Qwen3.6 27B costs $0.325/M input tokens. Qwen3 Next 80B A3B Thinking is $0.18/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 Qwen3.6 27B 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
Qwen3.6 27B logo
Qwen3.6 27B55 outputs, specs and price
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