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  5. InklingvsMuse Glimmer 30B
Updated Aug 2026

InklingvsMuse Glimmer 30B

Muse Glimmer 30B is cheaper than Inkling at $0.3/M vs $1/M input tokens.

Inkling and Muse Glimmer 30B compared across 13 shared prompts
SpecInklingMuse Glimmer 30B
Input price$1/M tokens$0.3/M tokens
Output price$4.05/M tokens$1.2/M tokens
Context window1.0M tokens131K tokens
WeightsOpenOpen
Free API (OpenRouter)Yes (1 provider)No
ReleasedJul 2026Aug 2026
Side by side

Same prompt, both answers

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

Debug This Architecture

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

Inkling1,866 words
This architecture contains fatal contradictions for real-time collaboration: server-local WebSocket state combined with round-robin load balancing, client-clock LWW, and a 2-second DB polling loop guarantee data loss, stale reads, and scaling collapse.
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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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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…

Inkling829 words
1. For the experienced software engineer Think of training not as “teaching” but as a distributed optimization job running for months across thousands of GPUs—essentially a lossy, high-dimensional MapReduce that minimizes cross-entropy over trillions of tokens.
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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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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…

Inkling186 words
Golden Jam Crumble Clouds A buttery, cinnamon-kissed oat crumble layered with sweet jam—like a hug from your pantry. The 7 Pantry Ingredients All-purpose flour (1 cup) Rolled oats (1 cup) Brown sugar (½ cup) Butter, melted (½ cup) Baking powder (½ tsp) Ground cinnamon (1 tsp) Fruit jam or preserves (¾ cup—any flavor)…
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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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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

Inkling2,151 words
If a working point-contact transistor—small, cool, and solid-state—had emerged in 1920, the cascade would not merely “speed up” our timeline. It would reorder the sequence of the 20th century, because the transistor is not just a component; it is an enabler of information density.
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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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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…

Inkling1,789 words
DISCLAIMER: This is strategic and ethical reasoning, not legal counsel. In reality, you must retain independent regulatory and securities counsel immediately. The plan below assumes U.S.
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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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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…

Inkling815 words
Here is a simple, 30-day “starter” plan built around the three highest-return pillars for longevity: Nutrition, Movement, and Sleep. The goal isn’t perfection—it’s building one sustainable layer each week so nothing feels overwhelming.
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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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Our Verdict
Inkling
Inkling
Muse Glimmer 30B
Muse Glimmer 30BRunner-up

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

Muse Glimmer 30B costs 3.4x less per token.

Too close to call
API pricing

Cost per 1M tokens

Inkling
Input
$1.00
Output
$4.05
Muse Glimmer 30B
Input
$0.30
3.3× cheaper
Output
$1.20
3.4× cheaper

Muse Glimmer 30B is cheaper on both: 3.3× input, 3.4× output.

Where to run it

7 hosts, cheapest first

Inkling3 hosts
HostInOutContextUptime
BBasetenfp8$1.00 in·$4.05 out·1M·99.9% upTTogether$1.00 in·$4.05 out·524k·99.7% upDDeepInfrafp8degraded$0.95 in·$4.05 out·524k·40.9% 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 22 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Inkling is developed by Thinking Machines while Muse Glimmer 30B is developed by Meta AI. Inkling has a 1.0M 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. Inkling 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.

Inkling costs $1/M input tokens and Muse Glimmer 30B costs $0.3/M input tokens. Muse Glimmer 30B is $0.70/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 Inkling 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

Inkling logo
Inkling58 outputs, specs and price
Muse Glimmer 30B logo
Muse Glimmer 30B13 outputs, specs and price
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