Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed
  1. Home
  2. /
  3. Compare
  4. /
  5. GPT-4o minivsLing 3.0 Flash
Updated Jul 2026

GPT-4o minivsLing 3.0 Flash

Ling 3.0 Flash is cheaper than GPT-4o mini at $0.021/M vs $0.15/M input tokens.

GPT-4o mini and Ling 3.0 Flash compared across 16 shared prompts
SpecGPT-4o miniLing 3.0 Flash
Input price$0.15/M tokens$0.021/M tokens
Output price$0.6/M tokens$0.063/M tokens
Context window128K tokens262K tokens
ParametersNot disclosed124B
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedJul 2024Jul 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 16 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-4o mini568 words
1-Month Plan for Better Health and Longevity Overview This plan focuses on three key areas: Diet, Exercise, and Sleep. Each week will build upon the previous one, making it easy for beginners to integrate these habits into their daily lives. Week 1: Foundation Building Diet: Goal: Start a balanced diet.
Read the full answer
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.
Read the full answer

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…

GPT-4o mini620 words
Dish Name: "Terra & Tides: Harmony of Land and Sea" Conceptual Narrative: This dish elegantly marries the earthiness of land-based ingredients with the sublime flavors of the ocean, representing a symbiotic relationship between nature's elements.
Read the full answer
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…
Read the full answer

Debug This Architecture

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

GPT-4o mini612 words
In the architecture you've described for a real-time collaborative document editor, various potential failure modes, race conditions, and scaling bottlenecks can arise. Below, I outline these issues along with proposed solutions and their associated trade-offs. Failure Modes a.
Read the full answer
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.
Read the full answer

Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

GPT-4o mini413 words
Certainly! Here are three potentially weak claims from the MindMeld AI pitch deck, along with explanations of their weaknesses and suggestions for improvement: Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy."
Read the full answer
Ling 3.0 Flash945 words
Three Weakest Claims in the MindMeld AI Pitch Deck "94% Accuracy" — Slide 3 (Solution) Why It's Weak This is presented as a single, impressive number with zero context, which makes it essentially meaningless — and likely misleading. Several critical questions go unanswered: What is the vocabulary size?
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…

GPT-4o mini731 words
48-Hour Action Plan Hour 1-2: Assemble a Crisis Management Team Action: Convene an emergency meeting with key members of the executive team, including the heads of R&D, legal, compliance, regulatory affairs, and communications.
Read the full answer
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.
Read the full answer

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…

GPT-4o mini695 words
Explanation for an Experienced Software Engineer Large language models (LLMs) like GPT or Claude are built using a neural network architecture called the transformer, which excels in processing sequences of data, such as text.
Read the full answer
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.
Read the full answer
Our Verdict
Ling 3.0 Flash
Ling 3.0 Flash
GPT-4o mini
GPT-4o miniRunner-up

Not enough votes to call it. On the specs, Ling 3.0 Flash has the edge: bigger model tier, newer, bigger context window.

Ling 3.0 Flash costs 9.5x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-4o mini
Input
$0.15
Output
$0.60
Ling 3.0 Flash
Input
$0.02
7.1× cheaper
Output
$0.06
9.5× cheaper

Ling 3.0 Flash is cheaper on both: 7.1× input, 9.5× output.

Where to run it

4 hosts, cheapest first

GPT-4o mini2 hosts
HostInOutContextUptime
Azure AI Foundry$0.15 in·$0.60 out·128k·99.1% upOpenAI$0.15 in·$0.60 out·128k·100% up
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

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

Research

What we learned reading every model

FAQ

Common questions

GPT-4o mini is developed by OpenAI while Ling 3.0 Flash is developed by inclusionAI. GPT-4o mini has a 128K token context window vs Ling 3.0 Flash's 262K. You can compare their actual outputs across 16 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-4o mini and Ling 3.0 Flash 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.

GPT-4o mini costs $0.15/M input tokens and Ling 3.0 Flash costs $0.021/M input tokens. Ling 3.0 Flash is $0.13/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-4o mini and Ling 3.0 Flash 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.

Keep exploring

More comparisons

Against the newest arrivals

GPT-4o mini logoDeepSeek V4 Flash Vision Exp logo
GPT-4o mini vs DeepSeek V4 Flash Vision ExpLanded Sep 2026
Ling 3.0 Flash logoSolar Pro 4 logo
Ling 3.0 Flash vs Solar Pro 4Landed Sep 2026
GPT-4o mini logoHy3 logo
GPT-4o mini vs Hy3Landed Sep 2026
Ling 3.0 Flash logoQwen3.7 Flash logo
Ling 3.0 Flash vs Qwen3.7 FlashLanded Sep 2026
GPT-4o mini logoMuse Glimmer 30B logo
GPT-4o mini vs Muse Glimmer 30BLanded Sep 2026
Ling 3.0 Flash logoGLM 5.3 logo
Ling 3.0 Flash vs GLM 5.3Landed Sep 2026
GPT-4o mini logoTernary Bonsai 2 27B logo
GPT-4o mini vs Ternary Bonsai 2 27BLanded Sep 2026
Ling 3.0 Flash logoGLM 5.3 Flash logo
Ling 3.0 Flash vs GLM 5.3 FlashLanded Sep 2026

Same lab, same size, long tail

GPT-4o mini logoGPT-6 Astra Pro logo
GPT-4o mini vs GPT-6 Astra ProVersion compare
GPT-4o mini logoGPT-6 Astra logo
GPT-4o mini vs GPT-6 AstraVersion compare
Ling 3.0 Flash logoLing 3.0 Flash Fin (free) logo
Ling 3.0 Flash vs Ling 3.0 Flash Fin (free)Same lab
Ling 3.0 Flash logoLing 3.0 Flash Sante (free) logo
Ling 3.0 Flash vs Ling 3.0 Flash Sante (free)Same lab
Ling 3.0 Flash logoGemma 3 12B logo
Ling 3.0 Flash vs Gemma 3 12BNew provider
Ling 3.0 Flash logoGemma 3 27B logo
Ling 3.0 Flash vs Gemma 3 27BSame size
Ling 3.0 Flash logoGemma 3n 2B logo
Ling 3.0 Flash vs Gemma 3n 2BNew provider
Ling 3.0 Flash logoGemma 3n 4B logo
Ling 3.0 Flash vs Gemma 3n 4BNew provider

Model pages

GPT-4o mini logo
GPT-4o mini55 outputs, specs and price
Ling 3.0 Flash logo
Ling 3.0 Flash16 outputs, specs and price
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed