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  5. Ling 3.0 Flash Sante (free)vsQwen3.8 2.4T A95B
Updated Sep 2026

Ling 3.0 Flash Sante (free)vsQwen3.8 2.4T A95B

Ling 3.0 Flash Sante (free) is cheaper than Qwen3.8 2.4T A95B at $0/M vs $2/M input tokens.

Ling 3.0 Flash Sante (free) and Qwen3.8 2.4T A95B compared across 19 shared prompts
SpecLing 3.0 Flash Sante (free)Qwen3.8 2.4T A95B
Input priceFree$2/M tokens
Output priceFree$6/M tokens
Context window262K tokens1.0M tokens
Weights—Open
Free API (OpenRouter)Yes (1 provider)No
ReleasedSep 2026Aug 2026
Side by side

Same prompt, both answers

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

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 2.4T A95B166 words
Lighthouse Lemon-Garlic Tuna Pasta A savory, pantry-friendly pasta that’s bright, garlicky, and satisfying. 7 Pantry Ingredients 8 oz spaghetti or linguine 3 tablespoons olive oil 3 garlic cloves, thinly sliced 2 cans tuna, drained 2 tablespoons lemon juice ½ teaspoon red pepper flakes ½ teaspoon salt Water for boiling…
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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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Qwen3.8 2.4T A95B2,994 words
Cliff Nest Koji-Aged Squab, Sea Urchin, Rhubarb, Black Garlic Yield: 4 tasting portions Style: Contemporary fine-dining main course Key unusual pairing: Koji-aged pigeon/squab with sea urchin, bridged by rhubarb acidity and black-garlic depth Conceptual Narrative Cliff Nest imagines a coastal nesting site in early…
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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 2.4T A95B3,715 words
The architecture as written has several P0 correctness problems that can cause lost edits, divergent documents, and security/staleness issues, plus scaling bottlenecks that get worse as you add more API servers. Below is a detailed failure-mode review, grouped by category.
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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 2.4T A95B1,709 words
The three weakest claims are the ones most likely to collapse under investor diligence: “before you think it,” “94% accuracy… any language, any device,” and the $180B TAM claim. They are weak because they are either scientifically implausible, under-specified, or logically inconsistent with the market evidence cited.
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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 2.4T A95B6,649 words
This agreement is heavily one-sided and, as drafted, gives the Client multiple ways to extract value from the Contractor while minimizing its own obligations. Some provisions may be unenforceable or limited by law in certain jurisdictions, but even unenforceable clauses can be exploited commercially because the…
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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 2.4T A95B4,865 words
Premise: what changes, and what does not Assume the transistor is invented in 1920 in a form roughly comparable to the late-1940s germanium point-contact or early junction transistor: it can amplify, detect, and switch signals, but it is initially expensive, low-yield, low-power, and limited in frequency.
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Our Verdict
Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B
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 2.4T A95B 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 Sante (free)
Input
$0.000
Output
$0.000
Qwen3.8 2.4T A95B
Input
$2.00
Output
$6.00
Where to run it

8 hosts

Ling 3.0 Flash Sante (free)1 host
HostInOutContextUptime
NNovita$0 in·$0 out·262k·100% up
Qwen3.8 2.4T A95B7 hosts
HostInOutContextUptime
Alibaba Cloud$2.00 in·$6.00 out·1M·99.8% upDDeepInfrafp4$2.00 in·$6.00 out·262k·100% upModal$2.00 in·$6.00 out·1M·100% upNNovita$2.00 in·$6.00 out·1M·99.9% upSSiliconFlowfp8$2.00 in·$6.00 out·1M·100% upTTogether$2.00 in·$6.00 out·1M·100% up
1 more hostFewer hosts
VVenice$2.00 in·$6.00 out·262k·96.6% 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 2.4T A95B is developed by Qwen. Ling 3.0 Flash Sante (free) has a 262K token context window vs Qwen3.8 2.4T A95B'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 Qwen3.8 2.4T A95B 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 Qwen3.8 2.4T A95B 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 2.4T A95B 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

Ling 3.0 Flash Sante (free) logo
Ling 3.0 Flash Sante (free)19 outputs, specs and price
Qwen3.8 2.4T A95B logo
Qwen3.8 2.4T A95B58 outputs, specs and price
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Explore all of Rival

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