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  5. Muse Glimmer 30BvsQwen3.6 35B A3B
Updated Aug 2026

Muse Glimmer 30BvsQwen3.6 35B A3B

Qwen3.6 35B A3B is cheaper than Muse Glimmer 30B at $0.1612/M vs $0.3/M input tokens.

Muse Glimmer 30B and Qwen3.6 35B A3B compared across 13 shared prompts
SpecMuse Glimmer 30BQwen3.6 35B A3B
Input price$0.3/M tokens$0.1612/M tokens
Output price$1.2/M tokens$0.9653/M tokens
Context window131K tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedAug 2026Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 13 prompts both answered. Formatting stripped, words untouched.

Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

Muse Glimmer 30B862 words
You have a patient safety issue, not a PR issue. The 6 month regulatory reporting timeline is the formal process, not the ethical or legal obligation to act now. Waiting for more data while patients continue to be exposed is criminal negligence exposure, not risk mitigation.
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Qwen3.6 35B A3B1,445 words
EXECUTIVE CRISIS PLAN: 48-HOUR ACTION WINDOW Core Mandate: Patient safety and regulatory compliance are non-negotiable. The legal team’s “6-month reporting” guidance is legally indefensible under FDA 21 CFR 312.32/314.80 and EMA GVP Module VI.
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Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

Muse Glimmer 30B485 words
Here is a simple, beginner-friendly 1-month plan built around 3 foundational pillars for health and longevity. The goal isn't perfection, it's consistency. The 3 Pillars: Move Daily, Eat Whole, Sleep Well Pick 1-2 small habits per pillar to start. Don't try to change everything at once.
Read the full answer
Qwen3.6 35B A3B788 words
Here is a simple, actionable 1-month plan designed for beginners. The focus is on consistency over intensity. For longevity, small, sustainable habits compound over time. The Golden Rule: If you miss a day, don't quit. Just get back on track the next day. Aim for progress, not perfection.
Read the full answer

Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

Muse Glimmer 30B965 words
A 3-month longevity protocol is about stacking evidence-based interventions with tight feedback loops. This is an educational framework for biohacking enthusiasts, not medical advice. Supplements and protocols can interact with medications and health conditions.
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Qwen3.6 35B A3B1,170 words
⚠️ Medical Disclaimer & Safety Protocol This plan is for informational purposes only and constitutes advanced biohacking strategies, not medical advice. Consultation Required: You must consult a physician before starting, especially regarding supplements, fasting, and exercise intensity.
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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…

Muse Glimmer 30B1,004 words
A transistor in 1920 does not mean a 1947 transistor. It means a crude point-contact or junction device built with 1920s materials science, metallurgy, and manufacturing. That is still a game-changer.
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Qwen3.6 35B A3B1,149 words
To trace this counterfactual plausibly, we must first acknowledge a critical constraint: invention ≠ adoption. In 1920, semiconductor physics, crystal growth, doping techniques, photolithography, and clean-room manufacturing did not exist.
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Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

Muse Glimmer 30B321 words
Dish Name: "Midnight Pantry Pantry Hero Pasta" A creamy-ish, garlicky tomato pasta that tastes like you tried way harder than you did. All from the pantry, no fresh produce needed.
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Qwen3.6 35B A3B236 words
🍜 Golden Honey-Garlic Snap Noodles A quick, sticky-yet-chewy noodle dish that balances sweet, salty, and spicy flavors. It's comforting, fast, and uses ingredients you likely already have.
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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…

Muse Glimmer 30B525 words
1. For the experienced software engineer Think of an LLM as a massive, stateless API with no rules, just a huge compressed lookup table learned from data. It learns by training a transformer — essentially a stack of attention layers — as a next-token predictor via gradient descent on trillions of tokens.
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Qwen3.6 35B A3B775 words
For the Experienced Software Engineer Training an LLM is essentially a massively parallelized optimization job. You feed billions of text tokens into a transformer architecture, which computes a differentiable function across ~100B parameters.
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Our Verdict
Muse Glimmer 30B
Muse Glimmer 30B
Qwen3.6 35B A3B
Qwen3.6 35B A3B

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

Too close to call
API pricing

Cost per 1M tokens

Muse Glimmer 30B
Input
$0.30
Output
$1.20
Qwen3.6 35B A3B
Input
$0.16
1.9× cheaper
Output
$0.97
1.2× cheaper

Qwen3.6 35B A3B is cheaper on both: 1.9× input, 1.2× output.

Where to run it

14 hosts, cheapest first

Muse Glimmer 30B4 hosts
HostInOutContextUptime
PPhala$0.30 in·$1.10 out·131k·100% upDDeepInfrabf16$0.30 in·$1.20 out·131k·100% upFFireworks$0.35 in·$1.50 out·131k·100% upTTogether$0.35 in·$1.50 out·131k·99.9% up
Qwen3.6 35B A3B10 hosts
HostInOutContextUptime
DDarkbloomfp4$0.05 in·$0.70 out·262k·99.9% upAAkashMLfp8$0.10 in·$0.90 out·262k·99.9% upVVenicefp8$0.10 in·$1.00 out·256k·99.8% upPParasailfp8$0.15 in·$1.00 out·262k·98.8% upAAtlasCloudfp8$0.19 in·$1.11 out·262k·99.8% upPPhala$0.20 in·$1.27 out·262k·99.8% up
4 more hostsFewer hosts
SSiliconFlowfp8$0.24 in·$1.80 out·262k·99.3% upCCoreWeavefp8$0.25 in·$1.25 out·262k·100% upDDeepInfrafp8degraded$0.10 in·$0.95 out·262k·89.6% upIio.netfp8degraded$0.22 in·$1.20 out·262k·89.3% up

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Muse Glimmer 30B is developed by Meta AI while Qwen3.6 35B A3B is developed by Qwen. Muse Glimmer 30B has a 131K token context window vs Qwen3.6 35B A3B's 262K. You can compare their actual outputs across 13 challenges on Rival to see how they differ in practice.

It depends on your use case. Muse Glimmer 30B and Qwen3.6 35B A3B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 13 challenges so you can judge which fits your needs best.

Muse Glimmer 30B costs $0.3/M input tokens and Qwen3.6 35B A3B costs $0.1612/M input tokens. Qwen3.6 35B A3B is $0.14/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 Muse Glimmer 30B and Qwen3.6 35B A3B 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

Muse Glimmer 30B logo
Muse Glimmer 30B13 outputs, specs and price
Qwen3.6 35B A3B logo
Qwen3.6 35B A3B58 outputs, specs and price
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