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  5. GPT-5.1vsMuse Glimmer 30B
Updated Aug 2026

GPT-5.1vsMuse Glimmer 30B

Muse Glimmer 30B is cheaper than GPT-5.1 at $0.3/M vs $1.25/M input tokens.

GPT-5.1 and Muse Glimmer 30B compared across 13 shared prompts
SpecGPT-5.1Muse Glimmer 30B
Input price$1.25/M tokens$0.3/M tokens
Output price$10/M tokens$1.2/M tokens
Context window400K tokens131K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedNov 2025Aug 2026
Side by side

Same prompt, both answers

Opening lines from 2 of the 13 prompts both answered. Formatting stripped, words untouched.

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…

GPT-5.1979 words
Here’s a simple, beginner-friendly 1‑month plan focused on 3 pillars: Movement (Exercise) Eating (Diet) Sleep & Wind-Down You’ll add a few small habits each week so it stays doable. How to use this plan Pick a start date (e.g., next Monday). Print or note the weekly goals somewhere visible.
Read the full answer
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

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…

GPT-5.1200 words
Dish Name: Pantry Sunset One-Pot Tomato Garlic Pasta Uses only these 7 common pantry ingredients: Dried pasta (spaghetti or any short pasta) – 8 oz (about 225 g) Canned crushed tomatoes – 1 can (14–15 oz / 400 g) Garlic – 3 cloves, minced (or 1 tsp garlic powder) Olive oil – 2 tbsp (any neutral oil works) Salt – 1 to…
Read the full answer
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.
Read the full answer
Our Verdict
GPT-5.1
GPT-5.1
Muse Glimmer 30B
Muse Glimmer 30BRunner-up

Not enough votes to call it. On the specs, GPT-5.1 has the edge: bigger model tier, bigger context window.

Muse Glimmer 30B costs 8.3x less per token.

Too close to call
API pricing

Cost per 1M tokens

GPT-5.1
Input
$1.25
Output
$10.00
Muse Glimmer 30B
Input
$0.30
4.2× cheaper
Output
$1.20
8.3× cheaper

Muse Glimmer 30B is cheaper on both: 4.2× input, 8.3× output.

Where to run it

6 hosts, cheapest first

GPT-5.12 hosts
HostInOutContextUptime
Azure AI Foundry$1.25 in·$10.00 out·400k·100% upOpenAI$1.25 in·$10.00 out·400k·100% up
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

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

Research

What we learned reading every model

FAQ

Common questions

GPT-5.1 is developed by OpenAI while Muse Glimmer 30B is developed by Meta AI. GPT-5.1 has a 400K token context window vs Muse Glimmer 30B's 131K. You can compare their actual outputs across 13 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-5.1 and Muse Glimmer 30B 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.

GPT-5.1 costs $1.25/M input tokens and Muse Glimmer 30B costs $0.3/M input tokens. Muse Glimmer 30B is $0.95/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 GPT-5.1 and Muse Glimmer 30B 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

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