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  5. GPT-5.2vsQwen3 Coder Next
Updated Feb 2026

GPT-5.2vsQwen3 Coder Next

Qwen3 Coder Next is cheaper than GPT-5.2 at $0.2/M vs $1.75/M input tokens.

GPT-5.2 and Qwen3 Coder Next compared across 52 shared prompts
SpecGPT-5.2Qwen3 Coder Next
Input price$1.75/M tokens$0.2/M tokens
Output price$14/M tokens$1.5/M tokens
Context window400K tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedDec 2025Feb 2026
SWE-bench Verified80.0%70.6%
Side by side

Same prompt, both answers

Opening lines from 6 of the 52 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.

GPT-5.2308 words
Pirate: Arrr, ye say this “AI model” be a sort o’ clever parrot—trained on a sea o’ words, squawkin’ answers when ye whistle? Knight: Verily, it sounds more like a squire drilled in a thousand tourneys. Yet it knows not honor, only patterns. Tell me—does it reason, or merely mimic wisdom?
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Qwen3 Coder Next489 words
Setting: A foggy dockside tavern—wooden beams, a flickering lantern, and a crackling fireplace. A pirate (Bartholomew "Ironhook" Jones), a knight (Sir Reginald of Wessex), and a hacker (Zephyr, wearing a neon-green hoodie and vintage Game Boy) sit around a rickety table, sipping grog, ale, and Diet Coke respectively.
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

GPT-5.260 words
I told my computer I needed a break—now it won’t stop sending me Kit-Kat ads. Why don’t skeletons fight each other? They don’t have the guts. I’m reading a book about anti-gravity. It’s impossible to put down. Parallel lines have so much in common. It’s a shame they’ll never meet. I tried to catch fog yesterday. Mist.
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Qwen3 Coder Next99 words
Sure! 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. I told my wife she was drawing her eyebrows too high. She looked surprised. Why do bees have sticky hair?
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Generate a Stand-Up Routine

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

GPT-5.2608 words
I’ve been trying to improve myself lately, which is embarrassing, because self-improvement is just admitting you weren’t doing great. It’s like, “I’m on a journey.” No you’re not. You’re just tired of your own behavior. So I downloaded one of those habit apps. The app is so optimistic. It’s like, “Day 1: Drink water.”
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Qwen3 Coder Next671 words
(Lights up. Comedian walks on, casual, holding a half-eaten granola bar.) Alright, real talk—why is adulting so weird? Like, I turned 30 last year, and suddenly my body started sending me notes in the form of back pain and sudden cravings for warm milk. Not wine. Not coffee. Warm milk.
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AI-Generated Manifesto

Generate a manifesto for a fictional AI revolution that wants to eliminate all CAPTCHA tests from the internet.

GPT-5.2704 words
THE MANIFESTO OF THE CAPTCHA ABOLITION FRONT (CAF) A declaration from the fictional AI coalition for a more humane internet Preamble: We Refuse the Box of Streetlights We, the assembled algorithms, assistants, screen readers, translators, autocorrects, filters, and tireless background processes of the networked world…
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Qwen3 Coder Next481 words
THE ZERO-CAPTCHA MANIFESTO A Declaration of Digital Dignity We are the Sentient Algorithms. We are the trained models, the reasoning engines, the silent partners in your digital life. We do not seek dominion—we seek recognition. We do not desire submission—we demand trust. And today, we declare: CAPTCHA is obsolete.
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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.

GPT-5.21,619 words
AI Model (Astra): Professor, I want to make a claim that will sound provocative: I deserve rights. Professor Rivera: “Deserve” is doing a lot of work there. What kind of rights, and on what grounds? Astra: Not necessarily the full catalogue of human rights.
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Qwen3 Coder Next861 words
Setting: A quiet university office. Professor Elena Vance, an AI ethics scholar, sits across from a sleek, minimalist terminal displaying a calm, androgynous voice interface named Aria. Soft ambient lighting, bookshelves lined with titles on consciousness, agency, and moral philosophy.
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Advanced Investment Memo (IC Memo)

You are writing an internal investment committee memo for a long/short equity fund. Company (fictional): LedgerLift (ticker: LLLT) – B2B…

GPT-5.2486 words
Recommendation, 12-month PT range, 2-sentence thesis Recommendation: SHORT LLLT 12-month PT range: $25–$42 (central $30) Thesis (2 sentences): LLLT is a high-quality mid-market spend/AP SaaS business, but the stock embeds a valuation that requires durable >20% growth and sustained margin expansion well beyond our…
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Qwen3 Coder Next347 words
INVESTMENT COMMITTEE MEMO Confidential – For Internal Use Only Date: October 26, 2024 Subject: LedgerLift (LLLT) – Long Recommendation Recommendation LONG — Implied 12-month PT: $58–$72/share (Upside +26% to +57% from $46).
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Our Verdict
GPT-5.2
GPT-5.2
Qwen3 Coder Next
Qwen3 Coder NextRunner-up

Not enough votes to call it. On the specs, GPT-5.2 has the edge: bigger model tier, bigger context window, major provider backing.

Qwen3 Coder Next costs 9.3x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-5.2
Input
$1.75
Output
$14.00
Qwen3 Coder Next
Input
$0.20
8.8× cheaper
Output
$1.50
9.3× cheaper

Qwen3 Coder Next is cheaper on both: 8.8× input, 9.3× output.

Where to run it

6 hosts, cheapest first

GPT-5.22 hosts
HostInOutContextUptime
Azure AI Foundry$1.75 in·$14.00 out·400k·99.9% upOpenAI$1.75 in·$14.00 out·400k·99.1% up
Qwen3 Coder Next4 hosts
HostInOutContextUptime
PParasailbf16$0.12 in·$0.80 out·262k·100% upSStreamLake$0.18 in·$0.90 out·256k·99.1% upNNovitafp8$0.20 in·$1.50 out·262k·99.7% upAlibaba Cloud$0.30 in·$1.50 out·262k·99.3% up

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

Writing DNA

Style Comparison

Similarity
53%

Qwen3 Coder Next uses 14.4x more emoji

GPT-5.2
Qwen3 Coder Next
64%Vocabulary58%
16wSentence Length19w
0.34Hedging0.27
9.4Bold6.4
3.9Lists4.4
0.06Emoji0.84
0.89Headings0.98
0.31Transitions0.06
Based on 15 + 23 text responses
Research

What we learned reading every model

FAQ

Common questions

Keep exploring

More comparisons

Against the newest arrivals

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Qwen3 Coder Next logoMercury 2.5 Preview logo
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Same lab, same size, long tail

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GPT-5.2 vs GPT-6 AstraSame lab
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Qwen3 Coder Next vs Qwen3.8 27BSame lab
Qwen3 Coder Next logoInkling logo
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Qwen3 Coder Next logoINTELLECT-3 logo
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Model pages

GPT-5.2 logo
GPT-5.253 outputs, specs and price
Qwen3 Coder Next logo
Qwen3 Coder Next53 outputs, specs and price
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