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  5. Muse Glimmer 30BvsQwen3 Next 80B A3B Thinking
Updated Aug 2026

Muse Glimmer 30BvsQwen3 Next 80B A3B Thinking

Qwen3 Next 80B A3B Thinking is cheaper than Muse Glimmer 30B at $0.15/M vs $0.3/M input tokens.

Muse Glimmer 30B and Qwen3 Next 80B A3B Thinking compared across 13 shared prompts
SpecMuse Glimmer 30BQwen3 Next 80B A3B Thinking
Input price$0.3/M tokens$0.15/M tokens
Output price$1.2/M tokens$1.5/M tokens
Context window131K tokens66K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedAug 2026Sep 2025
Side by side

Same prompt, both answers

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

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.
Read the full answer
Qwen3 Next 80B A3B Thinking821 words
For the Experienced Software Engineer You're right to be skeptical—on the surface, "predicting the next word" sounds trivial, like a glorified autocomplete. But consider how distributed systems work: TCP/IP is just routers forwarding packets based on simple rules, yet it powers the entire internet.
Read the full answer

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 Next 80B A3B Thinking1,352 words
Hour-by-Hour Action Plan: Critical 48-Hour Crisis Response (Based on FDA 21 CFR 310.305, ICH E2A, and ethical principles of patient-first transparency) Core Philosophy: Patient safety and regulatory compliance are non-negotiable.
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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 Next 80B A3B Thinking1,956 words
The World Transformed: A 1920 Transistor Invention Timeline (1920–1980) If the transistor had been invented in 1920—by German physicists Walter Schottky and Oskar Heil at Siemens, building on early quantum theory—instead of 1947 at Bell Labs, the technological, economic, and geopolitical landscape of the 20th century…
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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.
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Qwen3 Next 80B A3B Thinking221 words
Here’s a simple, science-backed 1-month plan focused on 3 foundational pillars for longevity (diet, sleep, stress management). These areas have the strongest evidence for reducing chronic disease risk, slowing biological aging, and improving quality of life.
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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 Next 80B A3B Thinking1,007 words
##The Precision Longevity Blueprint: 3-Month Biohacking Plan for Peak Longevity, Physical & Cognitive Performance Science-Backed, Data-Driven, and Actionable — But Consult Your Physician First Critical Disclaimer: This plan integrates emerging science but is NOT medical advice.
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Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

Muse Glimmer 30B813 words
This architecture will work for a demo but will break badly under real concurrent use. Here are the critical failure modes, race conditions and bottlenecks: WebSocket fan-out is server-local Failure: Step 3 broadcasts only to clients on THAT server.
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Qwen3 Next 80B A3B Thinking1,684 words
Here'sa comprehensive analysis of the architecture, identifying critical failure modes, race conditions, and scaling bottlenecks. For each issue, I've provided a specific solution with clear trade-offs based on real-world distributed systems best practices. 1.
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Our Verdict
Muse Glimmer 30B
Muse Glimmer 30B
Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B Thinking

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
1.3× cheaper
Qwen3 Next 80B A3B Thinking
Input
$0.15
2.0× cheaper
Output
$1.50

Qwen3 Next 80B A3B Thinking wins input (2.0× cheaper)·Muse Glimmer 30B wins output (1.3× cheaper)

Where to run it

6 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·99.8% up
Qwen3 Next 80B A3B Thinking2 hosts
HostInOutContextUptime
Alibaba Cloud$0.15 in·$1.20 out·131k·99.3% upGoogle Vertex AI$0.15 in·$1.20 out·262k·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Muse Glimmer 30B is developed by Meta AI while Qwen3 Next 80B A3B Thinking is developed by Qwen. Muse Glimmer 30B has a 131K token context window vs Qwen3 Next 80B A3B Thinking's 66K. 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 Next 80B A3B Thinking 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 Next 80B A3B Thinking costs $0.15/M input tokens. Qwen3 Next 80B A3B Thinking is $0.15/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 Next 80B A3B Thinking 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 Next 80B A3B Thinking logo
Qwen3 Next 80B A3B Thinking58 outputs, specs and price
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