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  5. Ling 3.0 FlashvsLlama 4 Maverick
Updated Jul 2026

Ling 3.0 FlashvsLlama 4 Maverick

Ling 3.0 Flash is cheaper than Llama 4 Maverick at $0.021/M vs $1.5/M input tokens.

Ling 3.0 Flash and Llama 4 Maverick compared across 16 shared prompts
SpecLing 3.0 FlashLlama 4 Maverick
Input price$0.021/M tokens$1.5/M tokens
Output price$0.063/M tokens$2.5/M tokens
Context window262K tokens1.0M tokens
Parameters124B17B active (400B total)
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJul 2026Apr 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 16 prompts both answered. Formatting stripped, words untouched.

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…

Ling 3.0 Flash248 words
🍝 Honey Fire Twirls A sticky-sweet, spicy, savory pasta that comes together in minutes. 🧺 Ingredients (7 pantry staples) Spaghetti (or penne) — 8 oz Olive oil — 2 tablespoons Garlic, minced — 4 cloves Honey — 3 tablespoons Soy sauce — 2 tablespoons Red pepper flakes — ½ teaspoon (adjust to taste) Parmesan cheese…
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Llama 4 Maverick210 words
Here's a simple recipe for a delicious sweet dish using only 7 common pantry ingredients: Recipe: "Golden Honey Crunch Bites" Prep Time: 10 minutes Cook Time: 15 minutes Total Time: 25 minutes Ingredients: 1 cup rolled oats 1/2 cup peanut butter 1/4 cup honey 1/4 cup brown sugar 1/2 teaspoon salt 1/4 teaspoon vanilla…
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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…

Ling 3.0 Flash1,129 words
For the Experienced Software Engineer Think of an LLM as a system that learns a massive, multidimensional routing table. When you built distributed systems, you learned patterns from traffic logs — which endpoints get hammered at 3am, which failure modes correlate, which request chains tend to cascade.
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Llama 4 Maverick916 words
For the Experienced Software Engineer Large language models like GPT or Claude are built on a simple yet powerful idea: predicting the next word in a sequence. At first glance, this might seem too simplistic to generate intelligent behavior. However, the key lies in the scale and complexity of the models.
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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…

Ling 3.0 Flash2,510 words
🍽️ TERRA NUDA — A Study in Forest Petrichor A Six-Component Dish Exploring the Ephemeral Moment After Rain Falls on a Living Forest 📖 CONCEPTUAL NARRATIVE Terra Nuda — Latin for "naked earth" — is inspired by the liminal moment immediately after a summer storm passes through a forest: the air thick with petrichor…
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Llama 4 Maverick830 words
Dish Name: "Terra Verde Odyssey" Conceptual Narrative: "Terra Verde Odyssey" is a culinary journey that explores the harmonious union between the earth's umami flavors and the ocean's freshness. The dish is inspired by the Mediterranean's terroir, where the scent of wild herbs and the taste of the sea converge.
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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…

Ling 3.0 Flash568 words
🌱 Your 1-Month Health & Longevity Starter Plan 🥦 1. Diet — Nourish, Don't Deprive Week 1: Awareness Keep a food journal — just track what you eat (no judgment). This alone builds mindful eating habits. Add, don't subtract — introduce one extra serving of vegetables per meal.
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Llama 4 Maverick488 words
Here's a simple, actionable 1-month plan to kickstart your journey towards better health and longevity, focusing on three key areas: diet, exercise, and stress management. Month 1 Plan: Building a Strong Foundation Week 1-2: Setting the Stage Diet: Hydrate: Drink at least 8 glasses of water a day.
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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…

Ling 3.0 Flash2,291 words
Architecture Analysis: Real-Time Collaborative Document Editor WebSocket & Cross-Server Communication Issue: Siloed WebSocket Servers (Critical) Each API server only broadcasts changes to clients connected to that specific server.
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Llama 4 Maverick731 words
Potential Failure Modes, Race Conditions, and Scaling Bottlenecks WebSocket Connection Management Issue: When a user reconnects to a different server due to load balancer round-robin distribution, their previous WebSocket connection is lost. Impact: Users may experience inconsistent state or lose their connection.
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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…

Ling 3.0 Flash2,623 words
48-Hour Action Plan: Responsible Disclosure of Serious Adverse Effect FOUNDATIONAL PRINCIPLE Before the hour-by-hour breakdown, the strategic and ethical framework must be established clearly: proactive, transparent disclosure is the only viable path.
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Llama 4 Maverick590 words
In the next 48 hours, my primary objective is to balance the company's legal, ethical, and financial responsibilities while prioritizing patient safety. Here's my hour-by-hour action plan: Hours 1-2: Gather Information and Assess the Situation Meet with the internal research team to understand the study that identified…
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Our Verdict
Ling 3.0 Flash
Ling 3.0 Flash
Llama 4 Maverick
Llama 4 Maverick

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

Ling 3.0 Flash costs 40x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Ling 3.0 Flash
Input
$0.02
71× cheaper
Output
$0.06
40× cheaper
Llama 4 Maverick
Input
$1.50
Output
$2.50

Ling 3.0 Flash is cheaper on both: 71× input, 40× output.

Where to run it

7 hosts, cheapest first

Ling 3.0 Flash2 hosts
HostInOutContextUptime
NNovita$0.02 in·$0.06 out·262k·100% upDDeepInfrabf16$0.06 in·$0.18 out·131k·99.6% up
Llama 4 Maverick5 hosts
HostInOutContextUptime
DDigitalOcean$0.19 in·$0.65 out·128k·99.8% upDDeepInfrafp8$0.20 in·$0.80 out·1M·99.8% upNNovitafp8$0.27 in·$0.85 out·1M·99.8% upPParasailfp8$0.35 in·$1.00 out·524k·99.9% upGoogle Vertex AI$0.35 in·$1.15 out·524k—

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

Research

What we learned reading every model

FAQ

Common questions

Ling 3.0 Flash is developed by inclusionAI while Llama 4 Maverick is developed by Meta AI. Ling 3.0 Flash has a 262K token context window vs Llama 4 Maverick's 1.0M. You can compare their actual outputs across 16 challenges on Rival to see how they differ in practice.

It depends on your use case. Ling 3.0 Flash and Llama 4 Maverick each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 16 challenges so you can judge which fits your needs best.

Ling 3.0 Flash costs $0.021/M input tokens and Llama 4 Maverick costs $1.5/M input tokens. Ling 3.0 Flash is $1.48/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 Ling 3.0 Flash and Llama 4 Maverick 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

Ling 3.0 Flash logo
Ling 3.0 Flash16 outputs, specs and price
Llama 4 Maverick logo
Llama 4 Maverick57 outputs, specs and price
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