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  5. Ling 3.0 Flash Sante (free)vsQwen3.7 Plus
Updated Sep 2026

Ling 3.0 Flash Sante (free)vsQwen3.7 Plus

Ling 3.0 Flash Sante (free) is cheaper than Qwen3.7 Plus at $0/M vs $0.4/M input tokens.

Ling 3.0 Flash Sante (free) and Qwen3.7 Plus compared across 19 shared prompts
SpecLing 3.0 Flash Sante (free)Qwen3.7 Plus
Input priceFree$0.4/M tokens
Output priceFree$1.6/M tokens
Context window262K tokens1.0M tokens
Weights—Closed
Free API (OpenRouter)Yes (1 provider)No
ReleasedSep 2026May 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 19 prompts both answered. Formatting stripped, words untouched.

Advanced Investment Memo (IC Memo)

You are writing an internal investment committee memo for a long/short equity fund. Company (fictional): LedgerLift (ticker: LLLT) – B2B…

Ling 3.0 Flash Sante (free)437 words
LedgerLift (LLLT) – IC Memo Confidential – For Internal Use Only 1) Recommendation & Thesis Pass (bias cautious). 12-month PT: $32–$48. Thesis: LLLT has defensible mid-market AP lock-in and solid NRR, but at $46 the stock trades above DCF-implied value ($28 base) and only just clears comps on revenue multiples; we need…
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Qwen3.7 Plus1,010 words
INTERNAL INVESTMENT COMMITTEE MEMO To: Investment Committee From: [Your Name], Analyst Date: October 24, 2023 Subject: LedgerLift (LLLL) – Initiation of Coverage Recommendation & Thesis Recommendation: SHORT 12-Month Price Target: $28 – $35 (30%–40% downside from $46) Thesis: LedgerLift trades at a significant premium…
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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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Qwen3.7 Plus733 words
Here are the 3 weakest claims in the MindMeld AI pitch deck, along with an analysis of why they fail and concrete ways to fix them. (Note: These critiques are written from the perspective of a seasoned technical investor or VC, who will immediately scrutinize scientific plausibility and business model alignment).
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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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Qwen3.7 Plus311 words
Creative Name: Midnight Velvet Chocolate Peanut Butter Bites These no-bake, fudgy bites taste like a cross between a chocolate peanut butter cup and a soft oatmeal cookie. They require zero baking, come together in minutes, and use strictly shelf-stable staples you likely already have.
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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…

Ling 3.0 Flash Sante (free)481 words
"Ephemeral Tides" — A Dish in Seven Movements Conceptual Narrative Inspired by the Japanese concept of mono no aware (the bittersweet beauty of transience), this dish explores the liminal boundary where ocean meets forest, fermentation meets freshness, and memory dissolves into the present.
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Qwen3.7 Plus1,083 words
Dish Title: Verdant Tide A Study in Anticipation: Langoustine, Unripe Green Strawberry, Tarragon, and Cold-Smoked Ossetra Caviar Conceptual Narrative Verdant Tide captures the fleeting, liminal space between the briny depths of the ocean and the awakening of the early spring forest floor.
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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…

Ling 3.0 Flash Sante (free)650 words
1. For the Software Engineer Think of it less as "AI" and more as a distributed autocomplete system operating in a 100-billion-dimensional key-value store. During training, the model isn't "understanding" text—it's adjusting millions of matrices to minimize the surprise of predicting the next token, similar to how…
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Qwen3.7 Plus863 words
Here is how a Large Language Model learns and generates text, tailored specifically to the background, skepticism, and priorities of each audience. The Experienced Software Engineer Focus: Distributed systems, latent space, emergent behavior, and addressing the "glorified autocomplete" skepticism.
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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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Qwen3.7 Plus741 words
Here is the simplified LBO underwriting analysis for HarborTech Services (HTS). Assumption: "1.0% annual amortization" is modeled as 1.0% of the beginning-of-year Term Loan balance, which is standard LBO convention unless "of original principal" is specified.
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Our Verdict
Ling 3.0 Flash Sante (free)
Ling 3.0 Flash Sante (free)
Qwen3.7 Plus
Qwen3.7 Plus

Not enough votes to call it. On the specs, nothing separates them.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Ling 3.0 Flash Sante (free)
Input
$0.000
Output
$0.000
Qwen3.7 Plus
Input
$0.40
Output
$1.60
Where to run it

2 hosts

Ling 3.0 Flash Sante (free)1 host
HostInOutContextUptime
NNovita$0 in·$0 out·262k·100% up
Qwen3.7 Plus1 host
HostInOutContextUptime
Alibaba Cloud$0.32 in·$1.28 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 Qwen3.7 Plus is developed by Qwen. Ling 3.0 Flash Sante (free) has a 262K token context window vs Qwen3.7 Plus's 1.0M. You can compare their actual outputs across 19 challenges on Rival to see how they differ in practice.

It depends on your use case. Ling 3.0 Flash Sante (free) and Qwen3.7 Plus each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 19 challenges so you can judge which fits your needs best.

Ling 3.0 Flash Sante (free) costs $0/M input tokens and Qwen3.7 Plus costs $0.4/M input tokens. Ling 3.0 Flash Sante (free) is $0.40/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 Qwen3.7 Plus 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
Qwen3.7 Plus logo
Qwen3.7 Plus58 outputs, specs and price
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