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  5. Ling 3.0 Flash Fin (free)vsQwen3.5 Plus 2026-04-20
Updated Aug 2026

Ling 3.0 Flash Fin (free)vsQwen3.5 Plus 2026-04-20

Ling 3.0 Flash Fin (free) is cheaper than Qwen3.5 Plus 2026-04-20 at $0/M vs $0.4/M input tokens.

Ling 3.0 Flash Fin (free) and Qwen3.5 Plus 2026-04-20 compared across 20 shared prompts
SpecLing 3.0 Flash Fin (free)Qwen3.5 Plus 2026-04-20
Input priceFree$0.4/M tokens
Output priceFree$2.4/M tokens
Context window262K tokens1.0M tokens
Weights—Open
Free API (OpenRouter)Yes (1 provider)No
ReleasedAug 2026Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 20 prompts both answered. Formatting stripped, words untouched.

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 Fin (free)2,560 words
Comprehensive Architecture Analysis: Real-Time Collaborative Document Editor CRITICAL: WebSocket Broadcasting Is Siloed Per-Server Problem: Each server maintains its own WebSocket connections. When User A (on Server 1) types, the change is only broadcast to clients connected to Server 1.
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Qwen3.5 Plus 2026-04-201,124 words
Here is a systematic breakdown of the architectural flaws, race conditions, and scaling bottlenecks, followed by targeted solutions and trade-offs. 🔴 1. Real-Time Synchronization & Consistency Issue Impact Solution Trade-offs Last-Write-Wins with client-side timestamps Client clocks drift, can be manually altered, and…
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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 Fin (free)166 words
Midnight Molten Lava Cake Ingredients: All-purpose flour (4 tbsp) Granulated sugar (4 tbsp) Unsweetened cocoa powder (2 tbsp) Vegetable oil (3 tbsp) Water (2 tbsp) Vanilla extract (¼ tsp) Baking powder (¼ tsp) Instructions: Combine Dry Ingredients: In a standard microwave-safe mug, whisk together the flour, sugar…
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Qwen3.5 Plus 2026-04-20306 words
🌙 Midnight Magic Noodles 🍜 A savory-sweet garlic butter noodle dish that feels like a gourmet meal but comes together in minutes using pantry staples. ⏱️ Estimated Time: Prep: 5 minutes Cook: 10 minutes Total: 15 minutes 🛒 The 7 Ingredients (Assumes water and salt for boiling pasta are on hand) 8 oz Pasta…
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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 Fin (free)928 words
For the Experienced Software Engineer Here's the thing: the way you build a distributed system that "does the right thing" isn't by writing rules for every possible scenario — it's by designing the system so that correct behavior emerges from many simple, well-specified interactions.
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Qwen3.5 Plus 2026-04-20852 words
Experienced Software Engineer (Distributed Systems/APIs) Think of an LLM not as a rule-based program, but as a massive, stateless probabilistic routing engine. During training, it ingests terabytes of text and learns to minimize a cross-entropy loss: essentially, it builds a high-dimensional lookup table that maps…
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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 Fin (free)2,253 words
L'Archipel des Ombres (The Archipelago of Shadows) Michelin-Caliber Multi-Component Dish 7 Components Conceptual Narrative: Memory, Mineral Essence, and the Meeting of Land and Sea CONCEPTUAL NARRATIVE This dish is an edible cartography—a map of an imaginary archipelago where volcanic soil meets oceanic tides.
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Qwen3.5 Plus 2026-04-201,321 words
Dish Title: Convergence: Abalone, Asparagus, and the Alchemy of Time Course: Signature Main / Pre-Dessert Bridge Yield: 4 Plates Prep Time: 72 Hours (primarily curing/fermentation) Cooking Time: 45 Minutes I. Conceptual Narrative Convergence is a meditation on duality and transformation.
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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 Fin (free)961 words
The 3 Weakest Claims in the MindMeld AI Pitch 🚨 The $180B TAM Claim (Slide 4) Why it's weak: This is the most logically incoherent claim in the entire deck. The pitch states the BCI market is projected to reach $5.3B by 2030 (citing Grand View Research) — and then immediately claims a TAM of $180B.
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Qwen3.5 Plus 2026-04-20845 words
Here are the 3 weakest claims in the pitch, why they undermine investor confidence, and how to fix them with concrete, actionable improvements. 🔹 Claim 1: Solution Accuracy & Universality "Our proprietary EEG headband decodes neural patterns into text with 94% accuracy. Works with any language, any device."
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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 Fin (free)556 words
Entry & Sources & Uses FY2025 EBITDA: $120m Purchase Price (EV): 12.0x × $120m = $1,440m Transaction Fees: 2.0% × $1,440m = $28.8m Total Uses: $1,440m + $28.8m = $1,468.8m Total Leverage: 5.5x × $120m = $660m Term Loan: 4.0x × $120m = $480m (9.0% cash interest, 1.0% mandatory amortization = $4.8m/yr) Mezzanine: 1.5x ×…
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Qwen3.5 Plus 2026-04-20562 words
Year-by-Year Projection (FY2026–FY2030) Entry Metrics: EV: $1,440m (12.0x FY2025 EBITDA $120m) Debt: $660m (Term $480m + Mezz $180m) Equity Check: $808.8m [ = (EV − Debt) + Fees = ($1,440 − $660) + (2.0% × $1,440) ] Initial Investment (t=0): $808.8m ($m) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.0 1,040.0 1,102.4…
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Our Verdict
Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus 2026-04-20
Ling 3.0 Flash Fin (free)
Ling 3.0 Flash Fin (free)Runner-up

Not enough votes to call it. On the specs, Qwen3.5 Plus 2026-04-20 has the edge: bigger model tier, bigger context window.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Ling 3.0 Flash Fin (free)
Input
$0.000
Output
$0.000
Qwen3.5 Plus 2026-04-20
Input
$0.40
Output
$2.40
Where to run it

2 hosts

Ling 3.0 Flash Fin (free)1 host
HostInOutContextUptime
NNovita$0 in·$0 out·262k·100% up
Qwen3.5 Plus 2026-04-201 host
HostInOutContextUptime
Alibaba Cloud$0.30 in·$1.80 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Ling 3.0 Flash Fin (free) is developed by inclusionAI while Qwen3.5 Plus 2026-04-20 is developed by Qwen. Ling 3.0 Flash Fin (free) has a 262K token context window vs Qwen3.5 Plus 2026-04-20's 1.0M. You can compare their actual outputs across 20 challenges on Rival to see how they differ in practice.

It depends on your use case. Ling 3.0 Flash Fin (free) and Qwen3.5 Plus 2026-04-20 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 20 challenges so you can judge which fits your needs best.

Ling 3.0 Flash Fin (free) costs $0/M input tokens and Qwen3.5 Plus 2026-04-20 costs $0.4/M input tokens. Ling 3.0 Flash Fin (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 Fin (free) and Qwen3.5 Plus 2026-04-20 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 Fin (free) logo
Ling 3.0 Flash Fin (free)20 outputs, specs and price
Qwen3.5 Plus 2026-04-20 logo
Qwen3.5 Plus 2026-04-2056 outputs, specs and price
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