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  5. Ling 3.0 Flash Sante (free)vsQwen3.8 Max
Updated Sep 2026

Ling 3.0 Flash Sante (free)vsQwen3.8 Max

Ling 3.0 Flash Sante (free) is cheaper than Qwen3.8 Max at $0/M vs $2/M input tokens.

Ling 3.0 Flash Sante (free) and Qwen3.8 Max compared across 17 shared prompts
SpecLing 3.0 Flash Sante (free)Qwen3.8 Max
Input priceFree$2/M tokens
Output priceFree$6/M tokens
Context window262K tokens1.0M tokens
Weights—Closed
Free API (OpenRouter)Yes (1 provider)No
ReleasedSep 2026Aug 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 17 prompts both answered. Formatting stripped, words untouched.

Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

Ling 3.0 Flash Sante (free)349 words
HarborTech Services – 5-Year LBO Underwriting Entry Summary Item Value FY2025 Revenue / EBITDA $900m / $120m Purchase EV (12.0x) $1,440m Transaction fees (2%) $28.8m → equity Term Loan (4.0x) $480m @ 9% cash, 1% amort Mezzanine (1.5x) $180m @ 12% cash + 2% PIK Equity invested $808.8m Year-by-Year Model (FY2026–FY2030)…
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Qwen3.8 Max828 words
Base-case underwriting (FY2026–FY2030) Assumptions / conventions used All amounts in $m unless noted. Close occurs at end of FY2025; FY2026 is Year 1. Interest is calculated on beginning-of-year debt balances; optional Term Loan paydown occurs at year-end. Term Loan amortization: 1.0% of original $480m TL = $4.8m/yr.
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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 Flash Sante (free)489 words
Architecture Analysis: Real-Time Collaborative Editor 🔴 Critical Issues Cross-Server Communication Gap (Race Condition) Problem: Server A broadcasts to its WebSocket clients, but Server B's clients only learn of changes via 2-second PostgreSQL polling.
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Qwen3.8 Max5,155 words
Below is a comprehensive failure-mode review of the proposed architecture. I will group related issues where the same root cause creates multiple symptoms. The biggest problems are: Client-clock last-write-wins is not safe for collaborative editing.
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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 Flash Sante (free)137 words
The Midnight Cookie Vault A gooey, chocolatey skillet cookie that feels like a secret treasure. Ingredients (7): Butter (½ cup, softened) Brown sugar (¾ cup) All-purpose flour (1¼ cups) Eggs (2 large) Semi-sweet chocolate chips (½ cup) Baking powder (1 tsp) Vanilla extract (1 tsp) Instructions: Preheat oven to 350°F…
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Qwen3.8 Max132 words
Dish Name: Golden Hour Peanut Butter Oat Clusters Ingredients (7): 1 cup rolled oats ½ cup peanut butter ⅓ cup honey ½ cup chocolate chips 1 teaspoon vanilla extract ½ teaspoon ground cinnamon ¼ teaspoon salt Instructions: Optional but recommended: Toast the oats in a dry skillet over medium heat for 3–4 minutes…
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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.…

Ling 3.0 Flash Sante (free)408 words
Here are the 3 weakest claims, ranked by how much they undermine credibility: Slide 3: "94% accuracy" Why it’s weak: This is a vanity metric without context. In brain-computer interfaces, accuracy is meaningless without specifying vocabulary size, latency, user calibration time, and false-positive rates.
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Qwen3.8 Max1,957 words
The 3 weakest claims are the pre-thought prediction claim, the 94% accuracy / any language / any device claim, and the $180B TAM claim. These are the ones most likely to undermine credibility with investors, technical reviewers, or enterprise buyers because they are either logically inconsistent, under-specified, or…
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Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

Ling 3.0 Flash Sante (free)840 words
Disclaimer: This is informational analysis, not legal advice. Enforceability depends heavily on jurisdiction (e.g., California voids non-competes; some states limit liability caps). Have an employment/contract attorney review before signing.
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Qwen3.8 Max4,612 words
This agreement is heavily one-sided in the Client’s favor. Many clauses are not merely aggressive; they create meaningful opportunities for the Client to expand the work, delay or deny payment, capture the Contractor’s pre-existing intellectual property, impose unlimited liability, and restrict the Contractor’s future…
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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

Ling 3.0 Flash Sante (free)694 words
The 1920 Transistor: A Counterfactual Timeline to 1980 The Critical Caveat A transistor in 1920 would likely be an empirical invention — quantum mechanics (band theory, semiconductor physics) wouldn't mature until the mid-1920s.
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Qwen3.8 Max4,497 words
A useful way to think about this is not “1980 becomes 2007.” The transistor would accelerate electronics, but every technology has bottlenecks: materials chemistry, precision manufacturing, rockets, batteries, displays, institutional capacity, and war.
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Our Verdict
Qwen3.8 Max
Qwen3.8 Max
Ling 3.0 Flash Sante (free)
Ling 3.0 Flash Sante (free)Runner-up

Not enough votes to call it. On the specs, Qwen3.8 Max has the edge: bigger model tier, bigger context window.

Too close to call
API pricing

Cost per 1M tokens

Ling 3.0 Flash Sante (free)
Input
$0.000
Output
$0.000
Qwen3.8 Max
Input
$2.00
Output
$6.00
Where to run it

2 hosts

Ling 3.0 Flash Sante (free)1 host
HostInOutContextUptime
NNovita$0 in·$0 out·262k·100% up
Qwen3.8 Max1 host
HostInOutContextUptime
Alibaba Cloud$2.00 in·$6.00 out·1M·100% up

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 Sante (free) is developed by inclusionAI while Qwen3.8 Max is developed by Qwen. Ling 3.0 Flash Sante (free) has a 262K token context window vs Qwen3.8 Max's 1.0M. You can compare their actual outputs across 17 challenges on Rival to see how they differ in practice.

It depends on your use case. Ling 3.0 Flash Sante (free) and Qwen3.8 Max each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 17 challenges so you can judge which fits your needs best.

Ling 3.0 Flash Sante (free) costs $0/M input tokens and Qwen3.8 Max costs $2/M input tokens. Ling 3.0 Flash Sante (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 Ling 3.0 Flash Sante (free) and Qwen3.8 Max 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 Sante (free) logo
Ling 3.0 Flash Sante (free)19 outputs, specs and price
Qwen3.8 Max logo
Qwen3.8 Max22 outputs, specs and price
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