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  5. GPT-5.2vsMuse Spark 1.3 Contributor
Updated Sep 2026

GPT-5.2vsMuse Spark 1.3 Contributor

Muse Spark 1.3 Contributor is cheaper than GPT-5.2 at $0.1/M vs $1.75/M input tokens.

GPT-5.2 and Muse Spark 1.3 Contributor compared across 52 shared prompts
SpecGPT-5.2Muse Spark 1.3 Contributor
Input price$1.75/M tokens$0.1/M tokens
Output price$14/M tokens$0.2/M tokens
Context window400K tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedDec 2025Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 52 prompts both answered. Formatting stripped, words untouched.

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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Muse Spark 1.3 Contributor69 words
Here are 5 jokes for you: Why don't scientists trust atoms? Because they make up everything! Why did the scarecrow win an award? Because he was outstanding in his field! What do you call fake spaghetti? An impasta! Why did the bicycle fall over? Because it was two-tired! What do you call cheese that isn't yours?
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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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Muse Spark 1.3 Contributor701 words
LedgerLift (LLLT) – Short Internal IC Memo Price $46 Mkt Cap $8.74B (190m shares) EV $7.34B (Net Cash $1.4B) FY25 Rev $820m, EBIT 18% 1. Recommendation: SHORT. 12-mo PT $28, range $17 (Bear) – $42 (Bull). Base DCF $27.9 (-39%), Bull $42.4 (-8%), Bear $17.3 (-62%). Even flawless Bull execution does not support $46.
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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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Muse Spark 1.3 Contributor630 words
Here's a clean 3-minute set you can actually perform — all observational / storytelling, no puns. It's about 420 words, so at a normal pace it's right around 3 minutes. "Adulthood Is A Scam" Hey, thank you guys so much. I'm so excited to be here.
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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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Muse Spark 1.3 Contributor1,124 words
Here is a conversation between a fictional AI model and a professor: Setting: A university seminar room after hours. AI Ethics Professor Dr. Maya Chen is testing a new model, called "Muse," for a class demonstration. Dr. Chen: Alright, Muse. My students have read your technical specs. You predict text.
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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-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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Muse Spark 1.3 Contributor193 words
[In a tavern with mysteriously good Wi-Fi] Pirate: Arrr! So ye be tellin' me this "AI model" be a treasure chest o' words? I feed it a map — er, a prompt — and it spits back gold? Knight: Verily, good sir pirate. Methinks 'tis an oracle in a box. I asked it "How might I slay a dragon?"
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Futuristic Prediction

Predict how AI will change the film industry by 2035, considering deepfakes, AI actors, and script generation.

GPT-5.2859 words
By 2035: likely changes to film driven by deepfakes, AI actors, and AI script generation “Synthetic performance” becomes routine (not universal) What changes AI-assisted acting: Studios increasingly capture a performer’s face/voice/body once (high-quality scans + performance data) and reuse it for stunts, pickups…
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Muse Spark 1.3 Contributor946 words
By 2035, AI won't have replaced Hollywood — but it will have completely rewired how movies get written, cast, shot, and watched. Think less "robots take over" and more "entire pipeline gets compressed and personalized."
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Our Verdict
GPT-5.2
GPT-5.2
Muse Spark 1.3 Contributor
Muse Spark 1.3 Contributor

Not enough votes to call it. On the specs, nothing separates them.

Muse Spark 1.3 Contributor costs 70x 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
Muse Spark 1.3 Contributor
Input
$0.10
18× cheaper
Output
$0.20
70× cheaper

Muse Spark 1.3 Contributor is cheaper on both: 18× input, 70× output.

Where to run it

3 hosts

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
Muse Spark 1.3 Contributor1 host
HostInOutContextUptime
Meta$0.10 in·$0.20 out·1M·100% up

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

Writing DNA

Style Comparison

Similarity
39%

GPT-5.2 uses 5.8x more emoji

GPT-5.2
Muse Spark 1.3 Contributor
64%Vocabulary58%
16wSentence Length13w
0.34Hedging0.27
9.4Bold2.8
3.9Lists2.3
0.06Emoji0.00
0.89Headings0.44
0.31Transitions0.02
Based on 15 + 27 text responses
Research

What we learned reading every model

FAQ

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