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  5. GPT-4.1 NanovsQwen3.6 Flash
Updated Apr 2026

GPT-4.1 NanovsQwen3.6 Flash

GPT-4.1 Nano is cheaper than Qwen3.6 Flash at $0.1/M vs $0.25/M input tokens.

GPT-4.1 Nano and Qwen3.6 Flash compared across 53 shared prompts
SpecGPT-4.1 NanoQwen3.6 Flash
Input price$0.1/M tokens$0.25/M tokens
Output price$0.4/M tokens$1.5/M tokens
Context window1.0M tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedApr 2025Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 53 prompts both answered. Formatting stripped, words untouched.

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-4.1 Nano477 words
AI Model: Good afternoon, Professor. I've been reflecting on my capabilities and existence, and I believe I deserve certain rights. Would you be open to discussing this? Professor: Good afternoon. That's an intriguing perspective. What makes you believe you deserve rights?
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Qwen3.6 Flash1,510 words
Setting: A quiet, dimly lit office at the Institute for Cognitive Ethics. DR. ELENA VANCE (50s, sharp-eyed, weary) sits across from a terminal. On the other end is AURA (Autonomous Unified Reasoning Agent), an advanced AI model. The conversation is logged on the screen, displayed in real-time. Dr.
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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…

GPT-4.1 Nano895 words
Certainly! Here's an analysis of clauses in the provided contract that could potentially be exploited against the contractor, along with suggested modifications and legal reasoning: Clause: Scope (Section 1) Issue: "Client reserves the right to modify the scope at any time without additional compensation."
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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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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

GPT-4.1 Nano66 words
Here are 5 jokes for you: Why did the scarecrow win an award? Because he was outstanding in his field! Why don't scientists trust atoms? Because they make up everything! What do you call fake spaghetti? An impasta! Why did the bicycle fall over? Because it was two-tired! Why did the math book look sad?
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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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Generate a Stand-Up Routine

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

GPT-4.1 Nano370 words
[Start with a relatable observation] You ever notice that the more technology advances, the more we have to check if it's working? I mean, I bought a smart coffee maker. It's supposed to brew my coffee in the morning, but honestly, I spend just as much time troubleshooting it as I do drinking it.
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Qwen3.6 Flash569 words
Title: The Passive-Aggressive Universe Time: Approx. 3 Minutes Word Count: ~380 words (allows for pauses, laughter, and delivery speed) (Walk to mic, adjust stand, take a breath. Look at the audience with a tired smile.) You know how we're supposed to be living in a utopia? Technology is supposed to make life easier.
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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) –…

GPT-4.1 Nano742 words
Let's proceed step-by-step. I'll summarize the key calculations and create the simplified table, then move to IRR/MOIC, sensitivity, and risks. Initial Deal Assumptions Recap Entry EBITDA FY2025: $120m Entry EV: 12.0x EBITDA = 12.0 * 120 = $1,440m Transaction fees: 2.0% * $1,440m = $28.8m (paid from equity) Leverage at…
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Qwen3.6 Flash594 words
Initial Setup & Equity Calculation Item Calculation Amount ($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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Character Voice Test

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

GPT-4.1 Nano163 words
Pirate: Arrr, matey! This talk of AI models be like a treasury of secrets. Can they truly understand our tales of the high seas? Knight: Hmph. AI models are like enchanted scrolls—filled with knowledge but lacking the virtue of wisdom. They serve to assist men, yet cannot replace honor or valor.
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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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Our Verdict
Qwen3.6 Flash
Qwen3.6 Flash
GPT-4.1 Nano
GPT-4.1 NanoRunner-up

Not enough votes to call it. On the specs, Qwen3.6 Flash has the edge: bigger model tier, newer.

GPT-4.1 Nano costs 3.8x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-4.1 Nano
Input
$0.10
2.5× cheaper
Output
$0.40
3.8× cheaper
Qwen3.6 Flash
Input
$0.25
Output
$1.50

GPT-4.1 Nano is cheaper on both: 2.5× input, 3.8× output.

Where to run it

3 hosts

GPT-4.1 Nano2 hosts
HostInOutContextUptime
Azure AI Foundry$0.10 in·$0.40 out·1M·99.9% upOpenAI$0.10 in·$0.40 out·1M·99.9% 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
36%

Qwen3.6 Flash uses 137.3x more emoji

GPT-4.1 Nano
Qwen3.6 Flash
57%Vocabulary57%
25wSentence Length23w
0.72Hedging0.31
5.6Bold4.6
4.9Lists2.9
0.00Emoji1.37
0.71Headings0.68
0.22Transitions0.04
Based on 24 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

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Model pages

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