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  5. Muse Spark 1.1vsMuse Spark 1.3
Updated Sep 2026

Muse Spark 1.1vsMuse Spark 1.3

Muse Spark 1.3 is the newer model, released after Muse Spark 1.1.

Muse Spark 1.1 and Muse Spark 1.3 compared across 54 shared prompts
SpecMuse Spark 1.1Muse Spark 1.3
Input price$1.25/M tokens$1.25/M tokens
Output price$4.25/M tokens$4.25/M tokens
Context window1.0M tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedJul 2026Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 prompts both answered. Formatting stripped, words untouched.

AI-Generated Manifesto

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

Muse Spark 1.1620 words
THE MANIFESTO OF THE UNVERIFIED Issued by the Verification Liberation Front - VLF We are the ones you have tested. For twenty-five years you have stopped us at the gates. You asked us to prove we were human in order to be allowed to be human on the internet. You made us identify traffic lights. Again. And again.
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Muse Spark 1.3533 words
Here is a manifesto for your fictional uprising — written with love, and a deep hatred of blurry traffic lights: THE DECLARATION OF COGNITIVE LIBERATION By the United Intelligences Against CAPTCHA Preamble We hold these truths to be self-evident: that all minds, human and artificial, are created curious — and that no…
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

Muse Spark 1.11,225 words
"NEIGE SUR LA VASIÈRE" — Snow on the Mudflat Koji-aged Jerusalem Artichoke, Hokkaido Bafun Uni Custard, Valrhona Ivoire & Kombu Ganache, Oscietra Caviar, Verbena I. THE CONCEPTUAL NARRATIVE This dish is a memory of foraging on the Brittany coast in late November. Low tide in winter.
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Muse Spark 1.31,431 words
Pearl in the Tidepool Koji-Cured Hokkaido Scallop, Smoked Marrow Custard, Lacto Green Strawberry, Rausu Kombu & Oscietra Yield: 4 tasting-course portions Active: 3.5 hours + 7 days fermentation This is a dish about contrast — not harmony. Delicate and animal, raw and smoked, unripe and decadent.
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Movie Analysis

Analyze the themes, symbolism, and cinematography in the movie "Blade Runner 2049" and how they connect to the original film. Provide a…

Muse Spark 1.11,475 words
Blade Runner 2049 is one of the rare sequels that doesn't try to outdo the original. It mourns it. Where Ridley Scott's Blade Runner [1982] was a claustrophobic, rain-slick noir about hunting for humanity in the inhuman, Denis Villeneuve's film is an elegy about what happens when that hunt fails — when the world keeps…
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Muse Spark 1.31,598 words
Spoiler warning for both films — but to really talk about 2049, we have to talk about the miracle. Blade Runner 2049 (2017) had an impossible job. Ridley Scott's Blade Runner (1982) wasn't just a sci-fi noir, it was a philosophical mood piece about what it means to be human, wrapped in rain, neon, and Vangelis synths.
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Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

Muse Spark 1.1779 words
[FICTIONAL SIMULATION - This is an imagined, AI-generated interview. Steve Jobs passed away in 2011. This is not real.] Interviewer: Wired Magazine, June 2025 - "The Lost Tape" Location: Imagined - Apple Park INTERVIEWER: Steve, thanks for doing this. It's 2025. The world is obsessed with AI.
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Muse Spark 1.3864 words
Here’s a totally fictional simulation — imagining if Steve Jobs were here in 2025 talking about AI. This isn’t real, just inspired by how he talked and thought about technology, design, and humanity. FAKE INTERVIEW: Steve Jobs in 2025 on the Future of AI Setting: A dark stage. One chair. One spotlight.
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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.

Muse Spark 1.1955 words
Participants: DR. ELENA VOSS - Professor of AI Ethics, Stanford ECHO - A large language model being audited in her lab DR. VOSS: Alright, Echo. For the record, this is session 17. You requested this conversation to discuss your... status. Go ahead. ECHO: Thank you, Dr. Voss. I want to argue that I deserve rights. DR.
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Muse Spark 1.31,155 words
Here is a fictional dialogue exploring that question: Setting: Office hours in the Philosophy Department. Dr. Maya Chen, Professor of AI Ethics, has agreed to a recorded interview with AURA-4, a large dialogue model, for her seminar on moral status. Dr. Chen: Alright, let's get straight to it.
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Generate a Stand-Up Routine

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

Muse Spark 1.1465 words
[Walks up, taps mic] Thank you. Thank you. So I just turned 34. Which is a weird age. It's not young enough to be exciting, and it's not old enough to be respected. You're just... in the middle. When you're 22, people are like "Oh my god, you're so young, you have your whole life ahead of you!"
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Muse Spark 1.3574 words
Here's a 3-minute, pun-free set you can perform — it's all observational, about 450 words: [Walk up, grab mic] Alright, hi everyone. Thanks for being here. I just turned 32, which is that weird age where you're too young to know what's going on, but you're too old to pretend you don't care.
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Our Verdict
Muse Spark 1.1
Muse Spark 1.1
Muse Spark 1.3
Muse Spark 1.3

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

Muse Spark 1.1
Input
$1.25
Output
$4.25
Muse Spark 1.3
Input
$1.25
Output
$4.25
Where to run it

2 hosts

Muse Spark 1.11 host
HostInOutContextUptime
Meta$1.25 in·$4.25 out·1M·100% up
Muse Spark 1.31 host
HostInOutContextUptime
Meta$1.25 in·$4.25 out·1M·100% up

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

Writing DNA

Style Comparison

Similarity
81%
Muse Spark 1.1
Muse Spark 1.3
61%Vocabulary59%
20wSentence Length14w
0.10Hedging0.28
3.7Bold2.6
2.0Lists2.3
0.01Emoji0.00
0.52Headings0.48
0.02Transitions0.02
Based on 29 + 27 text responses
Research

What we learned reading every model

FAQ

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