Ling 3.0 Flash VL (free) is cheaper than GPT-6.1 Sol at $0/M vs $2/M input tokens.
Playable Mario level in one HTML file. The physics is the hard part.
Which answer wins?
Seven pantry ingredients, one dish, and a name worth saying out loud.
GPT-6.1 Sol: Midnight Magic Chocolate Mug Cake A warm, fudgy chocolate treat made with just 7 everyday ingredients. Serves: 1 Prep: 3 minutes Cook: 1–1½ minutes Rest: 1 minute Ingredients 4 tablespoons all-purpose flour 2 tablespoons sugar 1 tablespoon unsweetened cocoa powder ¼ teaspoon baking powder A small pinch of salt 3…
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…
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
GPT-6.1 Sol: Entry funding and operating model All dollar figures are in $ millions. Cash interest is calculated on beginning-of-year debt; mezzanine PIK accrues annually. Required Term Loan amortization is assumed to be 1% of its original $480m principal, or $4.8m annually. Optional repayments occur at year-end.
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…
Three-star dish, one unusual pairing, plating described in full.
GPT-6.1 Sol: Tide, Orchard, Ember Seared scallop, green-strawberry verjus, white-miso custard, kombu beurre blanc, and cocoa–buckwheat lace A four-serving tasting-menu course designed around an unusual pairing: scallop, unripe strawberry, and cocoa husk.
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.
A collaborative editor that syncs on client clocks. Find what breaks first.
GPT-6.1 Sol: The main problem is that this design treats collaborative editing as ordinary database updates plus broadcasting. Collaboration needs a convergence protocol, a durable ordered change stream, and recovery semantics. Adding servers alone will not provide those properties.
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.
One month, three habits, someone starting from nothing.
GPT-6.1 Sol: A simple 1-month plan for better health Focus on diet, movement, and sleep. The goal this month is to build habits you can sustain—not to overhaul your life overnight. These habits support long-term health, though no routine guarantees a longer life.
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.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
GPT-6.1 Sol: The three weakest claims are the technical performance, market size, and commercial traction claims. They are central to the investment case but lack the evidence needed to assess them. “Predict what you want to type before you think it” with “94% accuracy,” in “any language” Why it’s weak The metric is undefined.
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.
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
GPT-6.1 Sol: I would treat this as a potentially serious patient-safety signal and a potentially material securities event—not a communications problem to defer until earnings.
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.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
GPT-6.1 Sol: The likeliest outcome is not “the world of 1980 arrives in 1953.” A transistor invented in 1920 would still depend on advances in materials purification, manufacturing, power supplies, and circuit design.
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).
A consulting contract with traps in it. Find them, then fix them.
GPT-6.1 Sol: This agreement is heavily weighted toward the Client. Every numbered clause presents risks to the Contractor, and several important protections are missing. This is general contract analysis, not legal advice.
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.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
GPT-6.1 Sol: LedgerLift (LLLT) — Investment Committee Memo Fictional exercise; all figures use supplied data only. Financial tables are in $ millions unless noted. Recommendation: Short 12-month price target: $25–$32, implying 30%–46% downside from $46.
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)…
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
GPT-6.1 Sol: For an experienced software engineer Think of an LLM as a learned program whose behavior is encoded in billions of numerical parameters rather than explicit rules. Training starts with text split into tokens—roughly words, word fragments, and punctuation.
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.
Not enough votes to call it. On the specs, GPT-6.1 Sol has the edge: bigger context window, major provider backing.
| Spec | ||
|---|---|---|
| Input price | $2/M tokens | Free |
| Output price | $10/M tokens | Free |
| Context window | 1.1M tokens | 262K tokens |
| Weights | Closed | — |
| Free API (OpenRouter) | No | No |
| Released | Sep 2026 | Sep 2026 |
| At 10M a month | $20.00 | $0 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 30 Sep 2026.
GPT-6.1 Sol is developed by OpenAI while Ling 3.0 Flash VL (free) is developed by inclusionAI. GPT-6.1 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.
It depends on your use case. GPT-6.1 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.
GPT-6.1 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.
This page shows a side-by-side comparison of GPT-6.1 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.