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  1. Home/
  2. Compare/
  3. GPT-6 Sol vs Ling 3.0 Flash VL (free)
Updated Sep 2026

GPT-6 Sol vs Ling 3.0 Flash VL (free)

Ling 3.0 Flash VL (free) is cheaper than GPT-6 Sol at $0/M vs $2/M input tokens.

Mario Level UI Recreation

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

Loading the build
GPT-6 Sol
Loading the build
Ling 3.0 Flash VL (free)

Which answer wins?

Written rounds

11 prompts
  • Three-star dish, one unusual pairing, plating described in full.

    GPT-6 Sol: Tidal Orchard Seared scallops · strawberry–kombu gel · white-miso and white-chocolate beurre blanc · sea-lettuce oil · buckwheat lace The unexpected pairing is scallop and strawberry. Both have a gentle sweetness, but strawberry’s acidity makes the scallop taste more distinctly of the sea.

    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
  • One month, three habits, someone starting from nothing.

    GPT-6 Sol: A simple 1-month health plan Focus on food, movement, and sleep. Start small enough that you can repeat the habits most days. Week Food Movement Sleep 1: Set a baseline Add a fruit or vegetable to one meal each day. Walk for 10 minutes, 4 days this week. Pick a consistent wake-up time.

    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
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    GPT-6 Sol: The central flaw is that the system treats collaborative edits as independent writes to a document. They are not: edits need a shared ordering and a merge protocol. Adding API servers or read replicas will not fix that. Issue and failure mode Specific solution Trade-off Client-clock last-write-wins loses work.

    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
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    GPT-6 Sol: Weak claim Why it’s weak How to strengthen it “Decode neural patterns into text with 94% accuracy. Works with any language, any device.” “Accuracy” has no defined unit: characters, words, or selecting from a small set of prompted phrases could produce very different results.

    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
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    GPT-6 Sol: Smoky Sunset Chickpeas Prep: 5 minutes · Cook: 15 minutes · Serves: 2 Ingredients 1 can chickpeas, drained 1 can diced tomatoes 1 tablespoon olive oil 2 garlic cloves, minced 1 teaspoon dried oregano ½ teaspoon smoked paprika ½ teaspoon salt Instructions Heat the olive oil in a skillet over medium heat.

    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
  • A consulting contract with traps in it. Find them, then fix them.

    GPT-6 Sol: This draft is heavily one-sided. Every numbered section contains a term the Client could use against the Contractor. The suggestions below are negotiating language, not a determination that a clause is enforceable: that depends on the governing law, the parties’ locations, and the facts of the engagement.

    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
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    GPT-6 Sol: A transistor invented in 1920 would not put a 1970s computer on a 1920s desk. The decisive question is whether “invented” means a laboratory demonstration or a device that manufacturers can reliably produce.

    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
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    GPT-6 Sol: I would not wait six months or wait for the earnings call. An internal signal of liver failure in a widely used drug warrants immediate patient-protection measures and prompt contact with regulators, even while causality and the precise risk are being checked.

    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
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    GPT-6 Sol: LedgerLift (LLLT) — Investment Committee Memo Recommendation: Short 12-month price target: $25–$35 Current price: $46 Thesis. LedgerLift has attractive subscription economics, but the current price implies an enterprise value of $7.34B—about 7.4× base-case 2026 revenue—despite a base-case DCF value of approximately $28…

    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
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    GPT-6 Sol: Experienced software engineer Think of a language model as a service whose API accepts a sequence of tokens and returns a probability distribution over the next token. During training, it sees enormous numbers of text sequences and adjusts billions of parameters to make the tokens that actually followed more likely.

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

    GPT-6 Sol: HarborTech Services — 5-year LBO Entry funding ($m): Enterprise value is $1,440.0 (12.0 × $120.0 EBITDA), plus $28.8 of transaction fees. The $1,468.8 total is funded with a $480.0 Term Loan, $180.0 of mezzanine debt, and $808.8 of equity.

    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

Favorites

Movie

Album

Book

City

Same pick

Game

GPT-6 SolGPT-6 Sol

Spirited Away

2001

In Rainbows

Radiohead

Middlemarch

George Eliot

Kyoto

Japan

Outer Wilds

Indie, Adventure

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

Not enough votes to call it. On the specs, GPT-6 Sol has the edge: bigger context window, major provider backing.

GPT-6 Sol and Ling 3.0 Flash VL (free) compared across 18 shared prompts
SpecGPT-6 SolLing 3.0 Flash VL (free)
Input price$2/M tokensFree
Output price$10/M tokensFree
Context window1.1M tokens262K tokens
WeightsClosed—
Free API (OpenRouter)NoNo
ReleasedSep 2026Sep 2026
At 10M a month$20.00$20.00$0$0
1M10M100M1B10M tokens

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

Where to run it3 hosts, cheapest first
GPT-6 Sol3 hosts
HostInOutContextUptime
  • Azure AI Foundry$2.00 in·$10.00 out·1.1M·100% up
  • OpenAI$2.00 in·$10.00 out·1.1M·100% up
  • Amazon Bedrock$2.20 in·$11.00 out·1.1M–not listed
Ling 3.0 Flash VL (free)

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.

Common questions

What is the difference between GPT-6 Sol and Ling 3.0 Flash VL (free)?

GPT-6 Sol is developed by OpenAI while Ling 3.0 Flash VL (free) is developed by inclusionAI. GPT-6 Sol has a 1.1M 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-6 Sol or Ling 3.0 Flash VL (free)?

It depends on your use case. GPT-6 Sol 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-6 Sol cost compared to Ling 3.0 Flash VL (free)?

GPT-6 Sol costs $2/M input tokens and Ling 3.0 Flash VL (free) costs $0/M input tokens. Ling 3.0 Flash VL (free) is $2.00/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-6 Sol and Ling 3.0 Flash VL (free) on Rival?

This page shows a side-by-side comparison of GPT-6 Sol 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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Same lab, same size, long tail

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Model pages

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  • Ling 3.0 Flash VL (free)18 outputs, specs and price
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