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  1. Home/
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  3. GPT-4 Turbo vs Ling 3.0 Flash VL (free)
Updated Sep 2026

GPT-4 Turbo vs Ling 3.0 Flash VL (free)

Ling 3.0 Flash VL (free) is cheaper than GPT-4 Turbo at $0/M vs $10/M input tokens.

Mario Level UI Recreation

Playable Mario level in one HTML file. The physics is the hard part.

Loading the build
GPT-4 Turbo
Loading the build
Ling 3.0 Flash VL (free)

Which answer wins?

Written rounds

11 prompts
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    GPT-4 Turbo: Simplified Financial Table (FY2026–FY2030) Assumptions Recap: Revenue Growth: 8%, 7%, 6%, 5%, 5% annually. EBITDA Margin: Increases annually from 14.0% to 17.0%. Capex: 3.0% of revenue annually. Change in NWC: 0.5% of incremental revenue annually. Cash Tax Rate: 25% on (EBITDA - cash interest).

    Ling 3.0 Flash VL (free): HarborTech Services (HTS) — LBO Underwriting Analysis ENTRY SUMMARY (End FY2025) Item Value FY2025 EBITDA $120.0m Purchase EV (12.0x) $1,440.0m Transaction Fees (2.0%) $28.8m Total Uses $1,468.8m Term Loan (4.0x) $480.0m Mezzanine (1.5x) $180.0m Total Debt $660.0m Equity Check $808.8m YEAR-BY-YEAR MODEL (FY2026–FY2030…

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    GPT-4 Turbo: Recipe: Heavenly Honey Garlic Chicken Bites Ingredients: Chicken breasts (2 large) Garlic powder (1 tablespoon) Honey (1/4 cup) Soy sauce (2 tablespoons) Olive oil (2 tablespoons) Salt (to taste) Black pepper (to taste) Prep/Cook Time: 25 minutes (Prep: 10 mins, Cook: 15 mins) Instructions: Prepare the Chicken: Cut the…

    Ling 3.0 Flash VL (free): ✨ Midnight Stardust Pasta ✨ A silky, golden garlic butter pasta that tastes far more magical than its humble ingredients suggest. ⏱ Time Prep: 5 minutes Cook: 12 minutes Total: 17 minutes 🛒 Ingredients (7 Pantry Staples) Spaghetti (8 oz) Butter (4 tbsp) Olive oil (2 tbsp) Garlic (4 cloves, minced) Parmesan cheese (½…

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    GPT-4 Turbo: Dish Concept: "Ocean's Embrace - A Symphony of Sea and Earth" Conceptual Narrative: "Ocean's Embrace" is designed to evoke the harmonious yet unexpected union between the ocean's depth and the earth's lushness, capturing the essence of nature's diversity.

    Ling 3.0 Flash VL (free): "MYCELIUM" A Celebration of the Hidden Network Beneath the Forest Floor 🍄 CONCEPTUAL NARRATIVE Beneath every forest lies mycelium — the vast, invisible fungal network that connects trees, decomposes matter, and transforms the dead into life.

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    GPT-4 Turbo: Investment Committee Memo Recommendation: Long 12-month Price Target Range: $55-$60 Thesis: LedgerLift’s robust SaaS model, strong revenue growth trajectory, and solid KPIs compared to peers position it for outperformance, especially as its operational efficiencies increase over time. 1.

    Ling 3.0 Flash VL (free): INVESTMENT COMMITTEE MEMO — LEDGERLIFT (LLLT) Classification: Internal — Investment Committee Date: June 2025 Analyst: [Portfolio Team] Recommendation & Thesis Recommendation: SHORT 12-Month Price Target Range: $28–$38 (base-to-bull DCF; downside to $17 in bear) Thesis: LLLT trades at ~$46 (mkt cap ~$8.7B, EV ~$7.3B)…

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    GPT-4 Turbo: Weakest Claim 1: Vision - "MindMeld AI reads your brainwaves to predict what you want to type before you think it." Why It's Weak: The claim of predicting what one wants to type before even thinking it seems scientifically and technically exaggerated.

    Ling 3.0 Flash VL (free): 3 Weakest Claims in the MindMeld AI Pitch Deck "Partnership discussions with Apple and Samsung" (Slide 5) Why it's weak: This is a classic credibility vacuum — a claim that's designed to impress but actively damages trust with informed investors.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    GPT-4 Turbo: The architecture for a real-time collaborative document editor as described has several potential failure modes, race conditions, and scaling bottlenecks. Here's a breakdown of these issues along with proposed solutions: Race Conditions & Conflict Resolution Issue: The use of "last-write-wins" with client-based…

    Ling 3.0 Flash VL (free): Architecture Audit: Real-Time Collaborative Document Editor Critical Issues Found: 25+ REAL-TIME COLLABORATION FAILURES Issue #1 — Last-Write-Wins Silently Destroys User Work Problem: If User A and User B both edit the same paragraph, the change with the later client timestamp wins.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    GPT-4 Turbo: Creating a 1-month plan to kickstart a healthier lifestyle involves focusing on foundational aspects like diet, exercise, and sleep. Each component is crucial for overall well-being and longevity.

    Ling 3.0 Flash VL (free): 🌱 Your 1-Month Health & Longevity Starter Plan 🥗 Key Area 1: Diet — Nourish Your Body Week 1: Add one extra serving of vegetables to your day (e.g., a handful of spinach in your morning eggs or a side salad at dinner). Week 2: Swap one sugary drink (soda, juice, sweetened coffee) per day for water or herbal tea.

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    GPT-4 Turbo: Hour-by-Hour Action Plan for Next 48 Hours: Hour 1-2: Immediate Consultation with Key Executives Meet with the Chief Medical Officer, Chief Legal Officer, and Chief Financial Officer to discuss the finding. Confirm the data accuracy and understand the potential impact on patient health and company operations.

    Ling 3.0 Flash VL (free): CEO 48-Hour Action Plan: Handling the Undisclosed Liver Failure Risk Guiding Philosophy Patient safety is non-negotiable and takes absolute priority over stock price, board politics, or legal convenience.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    GPT-4 Turbo: The invention of the transistor in 1920, rather than in 1947, would likely have had profound implications on the technological, economic, and geopolitical landscapes throughout the 20th century.

    Ling 3.0 Flash VL (free): If the Transistor Had Been Invented in 1920: A Counterfactual Trajectory to 1980 Preconditions and plausibility By 1920, Karl Braun's cathode ray tube (1897) and Greenleaf Pickard's silicon crystal detector (1906) had already demonstrated semiconductor properties. Quantum theory was nascent (Planck, Bohr).

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    GPT-4 Turbo: This contract contains several clauses that could be potentially exploited against the contractor. Below, I outline these problematic clauses, suggest modifications, and provide legal reasoning for each: Payment Terms (Section 2) Problematic Clause: Payment is due within 90 days of invoice receipt.

    Ling 3.0 Flash VL (free): Comprehensive Analysis: Exploitative Clauses and Recommended Modifications This agreement is overwhelmingly one-sided. Below is a clause-by-clause breakdown of exploitative provisions, suggested modifications, and the legal reasoning behind each.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    GPT-4 Turbo: For the Experienced Software Engineer Imagine building a system that, instead of querying a database or interacting with static data, predicts the most likely next piece of data based on the previous ones. Large language models like GPT work on a similar principle.

    Ling 3.0 Flash VL (free): For the Experienced Software Engineer Think of a large language model not as a program with rules, but as a massively distributed lookup table that generalizes.

    Every model's answer to this prompt

Favorites

Movie

Album

Book

City

Game

GPT-4 TurboGPT-4 Turbo

Inception

2010

Kind of Blue

Miles Davis

To Kill a Mockingbird

Harper Lee

Tokyo

Japan

The Legend of Zelda: Breath of the Wild

Adventure, Action

Ling 3.0 Flash VL (free)Ling 3.0 Flash VL (free)

Blade Runner

1982

Abbey Road

The Beatles

Cien años de soledad

Gabriel García Márquez

Kyoto

Japan

Hollow Knight

Platformer, Indie

Price and specs

GPT-4 Turbo and Ling 3.0 Flash VL (free) compared across 18 shared prompts
SpecGPT-4 TurboLing 3.0 Flash VL (free)
Input price$10/M tokensFree
Output price$30/M tokensFree
Context window128K tokens262K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedApr 2024Sep 2026
At 10M a month$100$100$0$0
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it1 host
GPT-4 Turbo1 host
HostInOutContextUptime
  • OpenAI$10.00 in·$30.00 out·128k·100% up
Ling 3.0 Flash VL (free)

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.

Common questions

What is the difference between GPT-4 Turbo and Ling 3.0 Flash VL (free)?

GPT-4 Turbo is developed by OpenAI while Ling 3.0 Flash VL (free) is developed by inclusionAI. GPT-4 Turbo has a 128K token context window vs Ling 3.0 Flash VL (free)'s 262K. You can compare their actual outputs across 18 challenges on Rival to see how they differ in practice.

Which is better, GPT-4 Turbo or Ling 3.0 Flash VL (free)?

It depends on your use case. GPT-4 Turbo and Ling 3.0 Flash VL (free) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 18 challenges so you can judge which fits your needs best.

How much does GPT-4 Turbo cost compared to Ling 3.0 Flash VL (free)?

GPT-4 Turbo costs $10/M input tokens and Ling 3.0 Flash VL (free) costs $0/M input tokens. Ling 3.0 Flash VL (free) is $10.00/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare GPT-4 Turbo and Ling 3.0 Flash VL (free) on Rival?

This page shows a side-by-side comparison of GPT-4 Turbo and Ling 3.0 Flash VL (free) 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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